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clustering
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Tag #clustering

2755 papers:

ASPLOSASPLOS-2020-GhasemazarNL #named #performance
Thesaurus: Efficient Cache Compression via Dynamic Clustering (AG, PN, ML), pp. 527–540.
ECSAECSA-2019-Sozer #architecture #composition #effectiveness #multi
Evaluating the Effectiveness of Multi-level Greedy Modularity Clustering for Software Architecture Recovery (HS), pp. 71–87.
EDMEDM-2019-BahargamLT #algorithm #complexity #problem
The Guided Team-Partitioning Problem: Definition, Complexity, and Algorithm (SB, TL, ET).
EDMEDM-2019-Furr #interactive #learning #online #visualisation
Visualization and clustering of learner pathways in an interactive online learning environment (DF).
EDMEDM-2019-HowlinD #approach #behaviour #detection #fuzzy #student #using
Detecting Outlier Behaviors in Student Progress Trajectories Using a Repeated Fuzzy Clustering Approach (CPH, CDD).
EDMEDM-2019-KhayiR #information management #student
Clustering Students Based on Their Prior Knowledge (NAK, VR).
EDMEDM-2019-NazaretskyHA #education #learning
Kappa Learning: A New Item-Similarity Method for Clustering Educational Items from Response Data (TN, SH, GA).
CIAACIAA-2019-KonstantinidisM #symmetry
Partitioning a Symmetric Rational Relation into Two Asymmetric Rational Relations (SK, MM, JS), pp. 171–183.
CoGCoG-2019-AbuzuraiqFP #framework #generative #graph #named
Taksim: A Constrained Graph Partitioning Framework for Procedural Content Generation (AMA, AF, PP), pp. 1–8.
CoGCoG-2019-VihangaBLK #approach #game studies #online
Weekly Seasonal Player Population Patterns in Online Games: A Time Series Clustering Approach (DV, MB, EL, KK), pp. 1–8.
CIKMCIKM-2019-0002DKBJ
A Compare-Aggregate Model with Latent Clustering for Answer Selection (SY0, FD, DSK, TB, KJ), pp. 2093–2096.
CIKMCIKM-2019-BiswasGRB #approximate #privacy
Privacy Preserving Approximate K-means Clustering (CB, DG, DR, UB), pp. 1321–1330.
CIKMCIKM-2019-LiECL #identification #mobile #multi #network
Multi-scale Trajectory Clustering to Identify Corridors in Mobile Networks (LL, SME, CAC, CL), pp. 2253–2256.
CIKMCIKM-2019-LiYH #graph #realtime
Real-time Edge Repartitioning for Dynamic Graph (HL, HY, JH), pp. 2125–2128.
CIKMCIKM-2019-LuYGWLC #learning #realtime
Reinforcement Learning with Sequential Information Clustering in Real-Time Bidding (JL, CY, XG, LW, CL, GC), pp. 1633–1641.
CIKMCIKM-2019-MarinR #programming #semantics
Clustering Recurrent and Semantically Cohesive Program Statements in Introductory Programming Assignments (VJM, CRR), pp. 911–920.
CIKMCIKM-2019-SalloumWH #approximate #big data #data analysis
A Sampling-Based System for Approximate Big Data Analysis on Computing Clusters (SS, YW, JZH), pp. 2481–2484.
CIKMCIKM-2019-SheetritK #retrieval
Cluster-Based Focused Retrieval (ES, OK), pp. 2305–2308.
CIKMCIKM-2019-YangSC
Streamline Density Peak Clustering for Practical Adoptions (SY, XS, MC), pp. 49–58.
CIKMCIKM-2019-ZhangTXZ #embedded #robust
Robust Embedded Deep K-means Clustering (RZ0, HT, YX, YZ), pp. 1181–1190.
ECIRECIR-p1-2019-PfeiferL #approach #modelling #topic
Topic Grouper: An Agglomerative Clustering Approach to Topic Modeling (DP, JLL), pp. 590–603.
ECIRECIR-p2-2019-HalkidiK #assessment #graph #named #quality
QGraph: A Quality Assessment Index for Graph Clustering (MH, IK), pp. 70–77.
ICMLICML-2019-0001HLZZ #multi #named #parametricity
COMIC: Multi-view Clustering Without Parameter Selection (XP0, ZH, JL, HZ, JTZ), pp. 5092–5101.
ICMLICML-2019-0002WF #complexity #kernel #query
Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel $k$-means Clustering (TY0, DPW, MF), pp. 7055–7063.
ICMLICML-2019-BackursIOSVW #scalability
Scalable Fair Clustering (AB, PI, KO, BS, AV, TW), pp. 405–413.
ICMLICML-2019-BravermanJKW #order
Coresets for Ordered Weighted Clustering (VB, SHCJ, RK, XW), pp. 744–753.
ICMLICML-2019-ChenFLM
Proportionally Fair Clustering (XC, BF, LL, KM), pp. 1032–1041.
ICMLICML-2019-CicaleseLM
New results on information theoretic clustering (FC, ESL, LM), pp. 1242–1251.
ICMLICML-2019-GhaffariLM #algorithm #network #parallel
Improved Parallel Algorithms for Density-Based Network Clustering (MG, SL, SM), pp. 2201–2210.
ICMLICML-2019-JangJ #performance #scalability #towards
DBSCAN++: Towards fast and scalable density clustering (JJ, HJ), pp. 3019–3029.
ICMLICML-2019-KleindessnerAM #summary
Fair k-Center Clustering for Data Summarization (MK, PA, JM), pp. 3448–3457.
ICMLICML-2019-KleindessnerSAM #constraints
Guarantees for Spectral Clustering with Fairness Constraints (MK, SS, PA, JM), pp. 3458–3467.
ICMLICML-2019-MercadoT0 #graph #matrix
Spectral Clustering of Signed Graphs via Matrix Power Means (PM0, FT, MH0), pp. 4526–4536.
ICMLICML-2019-XuL
Power k-Means Clustering (JX, KL), pp. 6921–6931.
ICMLICML-2019-YadavKMM #exponential
Supervised Hierarchical Clustering with Exponential Linkage (NY, AK, NM, AM), pp. 6973–6983.
ICMLICML-2019-ZhangJHHL #collaboration
Neural Collaborative Subspace Clustering (TZ, PJ, MH, WbH, HL), pp. 7384–7393.
KDDKDD-2019-AhmadianE0M
Clustering without Over-Representation (SA, AE, RK0, MM), pp. 267–275.
KDDKDD-2019-ChiangLSLBH #algorithm #graph #named #network #performance #scalability
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks (WLC, XL, SS, YL0, SB, CJH), pp. 257–266.
KDDKDD-2019-MonathKKGM #scalability
Scalable Hierarchical Clustering with Tree Grafting (NM, AK, AK, MRG, AM), pp. 1438–1448.
KDDKDD-2019-MonathZSMA #using
Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space (NM, MZ, DS, AM, AA), pp. 714–722.
KDDKDD-2019-NieWL #multi #named
K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters (FN, CLW, XL), pp. 959–967.
KDDKDD-2019-RolnickAPKMN #design #random
Randomized Experimental Design via Geographic Clustering (DR, KA, JPA, SK, VSM, AN), pp. 2745–2753.
KDDKDD-2019-YaoCC #learning #multi #robust
Robust Task Grouping with Representative Tasks for Clustered Multi-Task Learning (YY, JC0, HC), pp. 1408–1417.
PADLPADL-2019-Bock #execution #parallel #spreadsheet
Static Partitioning of Spreadsheets for Parallel Execution (AAB), pp. 221–237.
PLDIPLDI-2019-PerryKSZ #imperative #named #programming #semantics
SemCluster: clustering of imperative programming assignments based on quantitative semantic features (DMP, DK, RS, XZ), pp. 860–873.
ASEASE-2019-LiuZHHZL #named
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression (JL, JZ, SH, PH, ZZ, MRL), pp. 863–873.
ASEASE-2019-LiW0ZCM #detection #effectiveness #fault #named #spreadsheet
SGUARD: A Feature-Based Clustering Tool for Effective Spreadsheet Defect Detection (DL, HW, CX0, RZ, SCC, XM), pp. 1142–1145.
ESEC-FSEESEC-FSE-2019-Papachristou #graph #semantics
Software clusterings with vector semantics and the call graph (MP), pp. 1184–1186.
ASPLOSASPLOS-2019-ChenDM #interactive #multi #named
PARTIES: QoS-Aware Resource Partitioning for Multiple Interactive Services (SC, CD, JFM), pp. 107–120.
CASECASE-2019-SongLLSG #fault #optimisation
A New Spectral Clustering Based on Particle Swarm Optimization for Unsupervised Fault Diagnosis of Bearings (WS, ML, XL, YS, LG0), pp. 386–391.
ICSTICST-2019-MuscoYN #approach #implementation #named #testing
SmokeOut: An Approach for Testing Clustering Implementations (VM, XY, IN), pp. 473–480.
EDMEDM-2018-FangSLCSFGCCPFG #learning
Clustering the Learning Patterns of Adults with Low Literacy Skills Interacting with an Intelligent Tutoring System (YF, KTS, AL, QC, GS, SF, JG, SC, ZC, PIP, JF, DG, ACG).
ICPCICPC-2018-HartelAL #api #classification
Classification of APIs by hierarchical clustering (JH, HA, RL), pp. 233–243.
SANERSANER-2018-Coviello0SMAC #reduction #testing
Clustering support for inadequate test suite reduction (CC, SR0, GS, AM, GA, AC), pp. 95–105.
FDGFDG-2018-PlumbKS #game studies #hybrid #multi #network #online #using
Hybrid network clusters using common gameplay for massively multiplayer online games (JNP, SKK, RS), p. 10.
CIKMCIKM-2018-GuoZNL #fuzzy
Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information (MG, RZ0, FN, XL), pp. 1567–1570.
CIKMCIKM-2018-Moreno #symmetry
Point Symmetry-based Deep Clustering (JGM), pp. 1747–1750.
CIKMCIKM-2018-RoleMN #algorithm #evaluation #using #word
Unsupervised Evaluation of Text Co-clustering Algorithms Using Neural Word Embeddings (FR, SM, MN), pp. 1827–1830.
CIKMCIKM-2018-ShenKBQM #email #learning #multi #query #ranking
Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering (JS, MK, MB, ZQ, DM), pp. 2127–2135.
CIKMCIKM-2018-ZhuVGL #image #multi
Multiple Manifold Regularized Sparse Coding for Multi-View Image Clustering (XZ, KDV, JG, JL), pp. 1723–1726.
ICMLICML-2018-AwasthiV
Clustering Semi-Random Mixtures of Gaussians (PA, AV), pp. 294–303.
ICMLICML-2018-BajajGHHL #named #using
SMAC: Simultaneous Mapping and Clustering Using Spectral Decompositions (CB, TG, ZH, QH, ZL), pp. 334–343.
ICMLICML-2018-BhaskaraW #distributed
Distributed Clustering via LSH Based Data Partitioning (AB, MW), pp. 569–578.
ICMLICML-2018-ChatziafratisNC #constraints
Hierarchical Clustering with Structural Constraints (VC, RN, MC), pp. 773–782.
ICMLICML-2018-DouikH #graph #matrix #optimisation #probability #rank
Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering (AD, BH), pp. 1298–1307.
ICMLICML-2018-ImamuraSS #analysis #crowdsourcing #fault
Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model (HI, IS, MS), pp. 2152–2161.
ICMLICML-2018-KamnitsasCFWTRG #learning
Semi-Supervised Learning via Compact Latent Space Clustering (KK, DCC, LLF, IW, RT, DR, BG, AC, AVN), pp. 2464–2473.
ICMLICML-2018-LangeKA #bound #correlation #performance
Partial Optimality and Fast Lower Bounds for Weighted Correlation Clustering (JHL, AK, BA), pp. 2898–2907.
ICMLICML-2018-LiM
Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering (PL0, OM), pp. 3020–3029.
ICMLICML-2018-MartinLV #approximate #network #performance
Fast Approximate Spectral Clustering for Dynamic Networks (LM, AL, PV), pp. 3420–3429.
ICMLICML-2018-MazharRFH #detection
Bayesian Model Selection for Change Point Detection and Clustering (OM, CRR, CF, MRH), pp. 3430–3439.
ICMLICML-2018-SibliniMK #learning #multi #performance #random
CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning (WS, FM, PK), pp. 4671–4680.
ICMLICML-2018-Sinha #matrix #random #using
K-means clustering using random matrix sparsification (KS), pp. 4691–4699.
ICMLICML-2018-TsakirisV #analysis
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries (MCT, RV), pp. 4982–4991.
ICMLICML-2018-WuWWWVL #parametricity
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions (JW, YW, ZW, ZW, AV, YL), pp. 5359–5368.
ICMLICML-2018-YaroslavtsevV #algorithm #parallel
Massively Parallel Algorithms and Hardness for Single-Linkage Clustering under 𝓁p Distances (GY, AV), pp. 5596–5605.
ICMLICML-2018-YuanST #algorithm #performance
An Efficient Semismooth Newton Based Algorithm for Convex Clustering (YY, DS, KCT), pp. 5704–5712.
ICPRICPR-2018-Chen #scalability #similarity
Scalable spectral clustering with cosine similarity (GC), pp. 314–319.
ICPRICPR-2018-ChenDHLH #automation #classification #image #performance
Improving Image Classification Performance with Automatically Hierarchical Label Clustering (ZC, CD, LH, DL, HH), pp. 1863–1868.
ICPRICPR-2018-HibrajVSP #set #using
Speaker Clustering Using Dominant Sets (FH, SV, TS, MP), pp. 3549–3554.
ICPRICPR-2018-HuangZL #embedded #multi
Spectral Embedded Clustering on Multi-Manifold (SH, LZ, FL), pp. 391–396.
ICPRICPR-2018-JaberiPF #probability #using
Probabilistic Sparse Subspace Clustering Using Delayed Association (MJ, MP, HF), pp. 2087–2092.
ICPRICPR-2018-JinZWJ #behaviour #detection #representation
Sparse Representation and Weighted Clustering Based Abnormal Behavior Detection (DJ, SZ, SW, XYJ), pp. 1574–1579.
ICPRICPR-2018-LiYL #detection #documentation #image #predict
Page Object Detection from PDF Document Images by Deep Structured Prediction and Supervised Clustering (XL, FY, CLL), pp. 3627–3632.
ICPRICPR-2018-LiZ0
Constrained Sparse Subspace Clustering with Side-Information (CGL, JZ, JG0), pp. 2093–2099.
ICPRICPR-2018-LuoZLW #graph #image #learning
Graph Embedding-Based Ensemble Learning for Image Clustering (XL, LZ0, FL, BW), pp. 213–218.
ICPRICPR-2018-MaL #hybrid #visual notation
Hybrid Sparse Subspace Clustering for Visual Tracking (LM, ZL), pp. 1737–1742.
ICPRICPR-2018-QiuLL #named #nearest neighbour
D-NND: A Hierarchical Density Clustering Method via Nearest Neighbor Descent (TQ, CL, YL), pp. 1414–1419.
ICPRICPR-2018-RathoreBKRP #approximate #heatmap #scalability
Approximate Cluster Heat Maps of Large High-Dimensional Data (PR, JCB, DK, SR, MP), pp. 195–200.
ICPRICPR-2018-TlustyAB #detection #estimation
Unsupervised clustering of mammograms for outlier detection and breast density estimation (TT, GA, RBA), pp. 3808–3813.
ICPRICPR-2018-WangT #estimation
Stream Clustering with Dynamic Estimation of Emerging Local Densities (ZW, GT), pp. 2100–2105.
ICPRICPR-2018-YinLZ #multi
Multi-Source Clustering based on spectral recovery (HY, FL, LZ), pp. 231–236.
ICPRICPR-2018-ZouLZ #adaptation #multi
Nonnegative and Adaptive Multi-view Clustering (PZ, FL, LZ), pp. 1247–1252.
KDDKDD-2018-BachemL0 #lightweight #scalability
Scalable k -Means Clustering via Lightweight Coresets (OB, ML, AK0), pp. 1119–1127.
KDDKDD-2018-ChenHNHYH #normalisation #scalability
Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut (XC0, WH, FN, DH, MY0, JZH), pp. 1206–1215.
KDDKDD-2018-MautzYPB
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces (DM, WY0, CP, CB), pp. 1973–1982.
KDDKDD-2018-NieTL #adaptation #multi
Multiview Clustering via Adaptively Weighted Procrustes (FN, LT, XL), pp. 2022–2030.
KDDKDD-2018-Pouget-AbadieMP #optimisation #random
Optimizing Cluster-based Randomized Experiments under Monotonicity (JPA, VSM, DCP, EMA), pp. 2090–2099.
KDDKDD-2018-WuCYXXA #random #scalability #using
Scalable Spectral Clustering Using Random Binning Features (LW, PYC, IEHY, FX, YX, CCA), pp. 2506–2515.
KDDKDD-2018-YangSJ0 #ll #mobile #predict #social
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application (CY, XS, LJ, JH0), pp. 914–922.
KDDKDD-2018-YinCLZYW #modelling
Model-based Clustering of Short Text Streams (JY, DC, ZL, WZ0, XY0, JW), pp. 2634–2642.
KDDKDD-2018-ZhangTCSJSV0 #adaptation #named #taxonomy #topic
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering (CZ0, FT, XC, JS, MJ0, BMS, MV, JH0), pp. 2701–2709.
KDDKDD-2018-ZhangZY0 #ambiguity #maintenance
Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop (YZ, FZ, PY, JT0), pp. 1002–1011.
MoDELSMoDELS-2018-KinneerH #architecture #difference #metric
Dissimilarity Measures for Clustering Space Mission Architectures (CK, SJIH), pp. 392–402.
PLDIPLDI-2018-GulwaniRZ #automation #program repair #programming
Automated clustering and program repair for introductory programming assignments (SG, IR, FZ), pp. 465–480.
ASEASE-2018-AlizadehK #interactive #multi #refactoring
Reducing interactive refactoring effort via clustering-based multi-objective search (VA, MK), pp. 464–474.
ASPLOSASPLOS-2018-YuBQ #in memory
Datasize-Aware High Dimensional Configurations Auto-Tuning of In-Memory Cluster Computing (ZY, ZB, XQ), pp. 564–577.
CASECASE-2018-AbbatecolaFPU #approach #problem
A New Cluster-Based Approach for the Vehicle Routing Problem with Time Windows (LA, MPF, GP, WU), pp. 744–749.
CASECASE-2018-GohSHSS #automation #detection
Semi-Automatic Snore Detection in Polysomnography based on Hierarchical Clustering (CFG, LBS, MHH, GLGS, KS), pp. 1116–1122.
CASECASE-2018-GovindarajuAPEM #comparison
Comparison of two clustering approaches to find demand patterns in semiconductor supply chain planning (PG, SA, TP, HE, MM), pp. 148–151.
CASECASE-2018-RohL #worst-case
Characterizing the Worst-Case Wafer Delay in a Cluster Tool Operated in a $K$-Cyclic Schedule (DHR, TEL), pp. 1562–1567.
CASECASE-2018-SolerBMCPM #evolution #modelling
Emergency Department Admissions Overflow Modeling by a Clustering of Time Evolving Clinical Diagnoses (GS, GB, EM, AC, SP, OM), pp. 365–370.
CASECASE-2018-Wu #approach #automation #detection #multi #online
CASE 2018 Special Session Presentation-Only Abstract Submission Form: A Sequential Bayesian Partitioning Approach for Online Steady State Detection of Multivariate Systems (JW), pp. 1308–1309.
CASECASE-2018-XuL #algorithm #optimisation
A New Particle Swarm Optimization Algorithm for Clustering (XX, JL), pp. 768–773.
CASECASE-2018-YangWSQ #analysis #constraints #scheduling #tool support
Cyclic Scheduling Analysis of Single-arm Cluster Tools with Wafer Residency Time Constraint and Chamber Cleaning Operations (FY, NW, RS, YQ), pp. 241–246.
FASEFASE-2018-KatirtzisDS #api #using
Summarizing Software API Usage Examples Using Clustering Techniques (NK, TD, CAS), pp. 189–206.
ICSTICST-2018-MahajanAMH #automation #search-based #similarity #using #web
Automated Repair of Internationalization Presentation Failures in Web Pages Using Style Similarity Clustering and Search-Based Techniques (SM, AA, PM, WGJH), pp. 215–226.
ICSTICST-2018-WalterSPR #execution #independence #order #performance
Improving Test Execution Efficiency Through Clustering and Reordering of Independent Test Steps (BW, MS, MP, SR), pp. 363–373.
ICSAICSA-2017-KlockWGJ #architecture #set
Workload-Based Clustering of Coherent Feature Sets in Microservice Architectures (SK, JMEMvdW, JPG, SJ), pp. 11–20.
JCDLJCDL-2017-KocherS #using
Author Clustering Using SPATIUM (MK, JS), pp. 265–268.
EDMEDM-2017-AdjeiOEH #personalisation #student
Clustering Students in ASSISTments: Exploring System- and School-Level Traits to Advance Personalization (SA, KO, EE, NTH).
EDMEDM-2017-Ortiz-VazquezLL #analysis #modelling #realtime
Cluster Analysis of Real Time Location Data - An Application of Gaussian Mixture Models (AOV, XL, CFL, HSC, GN).
EDMEDM-2017-ShenC #student #using
Clustering Student Sequential Trajectories Using Dynamic Time Wrapping (SS, MC).
MSRMSR-2017-XuDGWWZH #named #similarity #spreadsheet #version control
SpreadCluster: recovering versioned spreadsheets through similarity-based clustering (LX, WD, CG, JW, JW0, HZ, TH0), pp. 158–169.
SCAMSCAM-2017-SzalayPK #c #c++ #source code #towards
Towards Better Symbol Resolution for C/C++ Programs: A Cluster-Based Solution (RS, ZP, DK), pp. 101–110.
SEFMSEFM-2017-AttardF #component #monitoring
Trace Partitioning and Local Monitoring for Asynchronous Components (DPA, AF), pp. 219–235.
FDGFDG-2017-Abuzuraiq #constraints #generative #graph #morphism #on the #using
On using graph partitioning with isomorphism constraint in procedural content generation (AMA), p. 10.
FDGFDG-2017-RaimbaultC #behaviour #game studies
Session based behavioral clustering in open world sandbox game TUG (MSR, CC), p. 4.
CIKMCIKM-2017-An0WY #analysis #feature model
Unsupervised Feature Selection with Joint Clustering Analysis (SA, JW0, JW, ZY), pp. 1639–1648.
CIKMCIKM-2017-BaruahML #comparison #summary #timeline
A Comparison of Nuggets and Clusters for Evaluating Timeline Summaries (GB, RM, JL), pp. 67–76.
CIKMCIKM-2017-ChaGK #assessment #modelling #readability #word
Language Modeling by Clustering with Word Embeddings for Text Readability Assessment (MC, YG, HTK), pp. 2003–2006.
CIKMCIKM-2017-Gollapudi0PP #online #order
Partitioning Orders in Online Shopping Services (SG, RK0, DP, RP), pp. 1319–1328.
CIKMCIKM-2017-GuZZ #data transformation #distance #self
An Euclidean Distance based on the Weighted Self-information Related Data Transformation for Nominal Data Clustering (LG, LZ, YZ), pp. 2083–2086.
CIKMCIKM-2017-HoangL #mining #network #performance
Highly Efficient Mining of Overlapping Clusters in Signed Weighted Networks (TAH, EPL), pp. 869–878.
CIKMCIKM-2017-HuWBZC #performance #scalability
Fast K-means for Large Scale Clustering (QH, JW, LB0, YZ0, JC0), pp. 2099–2102.
CIKMCIKM-2017-KozawaAK #graph #parallel
GPU-Accelerated Graph Clustering via Parallel Label Propagation (YK, TA, HK), pp. 567–576.
CIKMCIKM-2017-MaHLSYLR #analysis #graph #multi
Multi-view Clustering with Graph Embedding for Connectome Analysis (GM, LH0, CTL, WS, PSY, ADL, ABR), pp. 127–136.
CIKMCIKM-2017-SalahAN #documentation
A Way to Boost Semi-NMF for Document Clustering (AS, MA, MN), pp. 2275–2278.
CIKMCIKM-2017-SeoK #algorithm #graph #named #performance #scalability
pm-SCAN: an I/O Efficient Structural Clustering Algorithm for Large-scale Graphs (JHS, MHK), pp. 2295–2298.
CIKMCIKM-2017-WangPLZJ #graph #named
MGAE: Marginalized Graph Autoencoder for Graph Clustering (CW, SP, GL, XZ, JJ0), pp. 889–898.
CIKMCIKM-2017-WhangD
Non-Exhaustive, Overlapping Co-Clustering (JJW, ISD), pp. 2367–2370.
CIKMCIKM-2017-XieCLZXTWW #automation #generative
Automatic Navbox Generation by Interpretable Clustering over Linked Entities (CX, LC, JL, KZ, YX, HT, HW, WW0), pp. 1857–1865.
CIKMCIKM-2017-ZhuRXLYW #classification #pattern matching #social
Cluster-level Emotion Pattern Matching for Cross-Domain Social Emotion Classification (EZ, YR, HX0, YL, JY0, FLW), pp. 2435–2438.
ECIRECIR-2017-AlkhawaldehPJY #information retrieval #learning #named #query
LTRo: Learning to Route Queries in Clustered P2P IR (RSA, DP0, JMJ, FY), pp. 513–519.
ECIRECIR-2017-BhattacharjeeA #algorithm #dataset #incremental #nearest neighbour
Batch Incremental Shared Nearest Neighbor Density Based Clustering Algorithm for Dynamic Datasets (PB, AA), pp. 568–574.
ECIRECIR-2017-KhandelwalA #estimation #performance
Faster K-Means Cluster Estimation (SK, AA), pp. 520–526.
ICMLICML-2017-BachemLH0 #bound
Uniform Deviation Bounds for k-Means Clustering (OB, ML, SHH, AK0), pp. 283–291.
ICMLICML-2017-BalcanDLMZ
Differentially Private Clustering in High-Dimensional Euclidean Spaces (MFB, TD, YL, WM, HZ0), pp. 322–331.
ICMLICML-2017-BogunovicMSC #approach #robust
Robust Submodular Maximization: A Non-Uniform Partitioning Approach (IB, SM, JS, VC), pp. 508–516.
ICMLICML-2017-BravermanFLSY #data type
Clustering High Dimensional Dynamic Data Streams (VB, GF, HL, CS, LFY), pp. 576–585.
ICMLICML-2017-ChangCCCSD #multi #nondeterminism
Multiple Clustering Views from Multiple Uncertain Experts (YC, JC, MHC, PJC, EKS, JGD), pp. 674–683.
ICMLICML-2017-GentileLKKZE #on the
On Context-Dependent Clustering of Bandits (CG, SL, PK, AK, GZ, EE), pp. 1253–1262.
ICMLICML-2017-HoNYBHP #multi
Multilevel Clustering via Wasserstein Means (NH, XN, MY, HHB, VH, DQP), pp. 1501–1509.
ICMLICML-2017-Kallus #personalisation #recursion #using
Recursive Partitioning for Personalization using Observational Data (NK), pp. 1789–1798.
ICMLICML-2017-LaclauRMBB
Co-clustering through Optimal Transport (CL, IR, BM, YB, VB), pp. 1955–1964.
ICMLICML-2017-LattanziV #consistency
Consistent k-Clustering (SL, SV), pp. 1975–1984.
ICMLICML-2017-LawUZ #learning
Deep Spectral Clustering Learning (MTL, RU, RSZ), pp. 1985–1994.
ICMLICML-2017-LiporB
Leveraging Union of Subspace Structure to Improve Constrained Clustering (JL, LB), pp. 2130–2139.
ICMLICML-2017-NiQWC #modelling #persistent #visual notation
Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data (XN, NQ, YW, CC0), pp. 2622–2631.
ICMLICML-2017-PanahiDJB #algorithm #convergence #incremental #probability
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery (AP, DPD, FDJ, CB), pp. 2769–2777.
ICMLICML-2017-RahmaniA17a #approach #problem
Innovation Pursuit: A New Approach to the Subspace Clustering Problem (MR, GKA), pp. 2874–2882.
ICMLICML-2017-TsakirisV #component
Hyperplane Clustering via Dual Principal Component Pursuit (MCT, RV), pp. 3472–3481.
ICMLICML-2017-YangFSH #learning #towards
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering (BY, XF0, NDS, MH), pp. 3861–3870.
ICMLICML-2017-ZaheerAS #modelling #sequence
Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data (MZ, AA, AJS), pp. 3967–3976.
KDDKDD-2017-BojchevskiMG #modelling #robust #semistructured data
Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Embeddings (AB, YM, SG), pp. 737–746.
KDDKDD-2017-EpastoLL #framework
Ego-Splitting Framework: from Non-Overlapping to Overlapping Clusters (AE, SL, RPL), pp. 145–154.
KDDKDD-2017-GuidottiMNGP #transaction
Clustering Individual Transactional Data for Masses of Users (RG, AM, MN, FG, DP), pp. 195–204.
KDDKDD-2017-HallacVBL #multi
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data (DH, SV, SPB, JL), pp. 215–223.
KDDKDD-2017-KobrenMKM #algorithm
A Hierarchical Algorithm for Extreme Clustering (AK, NM, AK, AM), pp. 255–264.
KDDKDD-2017-LiuJDJ #normalisation
Supporting Employer Name Normalization at both Entity and Cluster Level (QL, FJ, VSD, AJ), pp. 1883–1892.
KDDKDD-2017-Song0H #named #parallel #performance
PAMAE: Parallel k-Medoids Clustering with High Accuracy and Efficiency (HS, JGL0, WSH), pp. 1087–1096.
KDDKDD-2017-YinBLG #graph #higher-order
Local Higher-Order Graph Clustering (HY, ARB, JL, DFG), pp. 555–564.
KDDKDD-2017-ZhangWLTL #graph #heuristic
Graph Edge Partitioning via Neighborhood Heuristic (CZ, FW, QL, ZGT, ZL), pp. 605–614.
ASPLOSASPLOS-2017-LiS0L0C
Locality-Aware CTA Clustering for Modern GPUs (AL, SLS, WL0, XL0, AK0, HC), pp. 297–311.
CASECASE-2017-BaoW #multi #scheduling #tool support
Cyclic scheduling of multi-cluster tools based on equivalent processing modules (TB, HW), pp. 642–647.
CASECASE-2017-RonB #detection
Density based clustering for detection of robotic operations (MR, PB), pp. 314–319.
CASECASE-2017-WangPH0 #multi #scheduling #tool support
Scheduling of single-arm cluster tools with multi-type wafers and shared PMs (JW, CP, HH, YZ0), pp. 1046–1051.
CCCC-2017-JaberK #data type
Data structure-aware heap partitioning (NJ, MK0), pp. 109–119.
CGOCGO-2017-ZhangWZHC #architecture #fine-grained #named
FinePar: irregularity-aware fine-grained workload partitioning on integrated architectures (FZ0, BW0, JZ, BH, WC), pp. 27–38.
CAVCAV-2017-Vazquez-Chanlatte #learning #logic
Logical Clustering and Learning for Time-Series Data (MVC, JVD, XJ, SAS), pp. 305–325.
ICSTICST-2017-PradhanWAYL #algorithm #multi #named #optimisation #search-based
CBGA-ES: A Cluster-Based Genetic Algorithm with Elitist Selection for Supporting Multi-Objective Test Optimization (DP, SW0, SA0, TY0, ML), pp. 367–378.
ICTSSICTSS-2017-KrafczykP #effectiveness #equivalence #infinity #model checking
Effective Infinite-State Model Checking by Input Equivalence Class Partitioning (NK, JP0), pp. 38–53.
CBSECBSE-2016-SapienzaSCS #embedded
Extra-Functional Properties Composability for Embedded Systems Partitioning (GS, SS, IC, TS), pp. 69–78.
ECSAECSA-2016-ErsoyKAS #architecture #re-engineering #using
Using Hypergraph Clustering for Software Architecture Reconstruction of Data-Tier Software (EE, KK, MA, HS), pp. 326–333.
JCDLJCDL-2016-GrechC #transaction
Investigating Cluster Stability when Analyzing Transaction Logs (DG, PDC), pp. 115–118.
EDMEDM-2016-KlinglerKSG #student
Temporally Coherent Clustering of Student Data (SK, TK, BS, MHG), pp. 102–109.
EDMEDM-2016-LeeRBY #analysis #approach #heatmap #interactive #learning #visualisation
Hierarchical Cluster Analysis Heatmaps and Pattern Analysis: An Approach for Visualizing Learning Management System Interaction Data (JEL, MR, AB, MY), pp. 603–604.
EDMEDM-2016-NiuNZWKY #algorithm #learning
A Coupled User Clustering Algorithm for Web-based Learning Systems (KN, ZN, XZ, CW, KK, MY), pp. 175–182.
EDMEDM-2016-ZhangSC #automation #effectiveness #learning #modelling #student
Deep Learning + Student Modeling + Clustering: a Recipe for Effective Automatic Short Answer Grading (YZ, RS, MC), pp. 562–567.
EDMEDM-2016-ZhengKTG #concept #physics #using
Soft Clustering of Physics Misconceptions Using a Mixed Membership Model (GZ, SK, YT, AG), pp. 658–659.
MSRMSR-2016-KreutzerDREP #automation
Automatic clustering of code changes (PK, GD, MR, BME, MP), pp. 61–72.
SANERSANER-2016-XuXLC #fault #feature model #information management #named #predict
MICHAC: Defect Prediction via Feature Selection Based on Maximal Information Coefficient with Hierarchical Agglomerative Clustering (ZX, JX, JL0, XC), pp. 370–381.
ICFP-2016-MuCL #functional
Queueing and glueing for optimal partitioning (functional pearl) (SCM, YHC, YHL), pp. 158–167.
CoGCIG-2016-DrachenGGHLSK #analysis #behaviour #comparative #profiling
Guns and guardians: Comparative cluster analysis and behavioral profiling in destiny (AD, JG, CG, EH, PL, RS, DK), pp. 1–8.
CoGCIG-2016-SaasGP #game studies
Discovering playing patterns: Time series clustering of free-to-play game data (AS, AG, AP), pp. 1–8.
DiGRADiGRA-FDG-2016-LimLH #approach #bottom-up #category theory #image #social #using
Discovering Social and Aesthetic Categories of Avatars: A Bottom-Up Artificial Intelligence Approach Using Image Clustering (CUL, AL, DFH).
CIKMCIKM-2016-AlkhawaldehJP #documentation #information retrieval
Evaluating Document Retrieval Methods for Resource Selection in Clustered P2P IR (RSA, JMJ, DP0), pp. 2073–2076.
CIKMCIKM-2016-AllabLN #framework
SemiNMF-PCA framework for Sparse Data Co-clustering (KA, LL, MN), pp. 347–356.
CIKMCIKM-2016-Avigdor-Elgrabli
Structural Clustering of Machine-Generated Mail (NAE, MC, DDC, IG, IGZ, LLE, YM), pp. 217–226.
CIKMCIKM-2016-BairiCR #categorisation #documentation
Beyond Clustering: Sub-DAG Discovery for Categorising Documents (RBB, MJC, GR), pp. 801–810.
CIKMCIKM-2016-DaiXC
Query-Biased Partitioning for Selective Search (ZD, CX, JC), pp. 1119–1128.
CIKMCIKM-2016-DauBK
Semi-Supervision Dramatically Improves Time Series Clustering under Dynamic Time Warping (HAD, NB, EJK), pp. 999–1008.
CIKMCIKM-2016-JinAYWSZ #documentation #hybrid #retrieval #version control
Hybrid Indexing for Versioned Document Search with Cluster-based Retrieval (XJ0, DA, TY0, QW, YS, SZ), pp. 377–386.
CIKMCIKM-2016-KangLAC #algorithm
A Filtering-based Clustering Algorithm for Improving Spatio-temporal Kriging Interpolation Accuracy (QK, WkL, AA, ANC), pp. 2209–2214.
CIKMCIKM-2016-LeviRKG #documentation #retrieval
Selective Cluster-Based Document Retrieval (OL, FR, OK, IG), pp. 1473–1482.
CIKMCIKM-2016-TaoLLF #robust
Robust Spectral Ensemble Clustering (ZT, HL, SL0, YF0), pp. 367–376.
CIKMCIKM-2016-WuJ #approach #retrieval
A Density-Based Approach to the Retrieval of Top-K Spatial Textual Clusters (DW0, CSJ), pp. 2095–2100.
CIKMCIKM-2016-XuK #effectiveness #performance
Effective and Efficient Spectral Clustering on Text and Link Data (ZX, YK), pp. 357–366.
CIKMCIKM-2016-ZengZMZW #network #predict
Exploiting Cluster-based Meta Paths for Link Prediction in Signed Networks (JZ, KZ0, XM, FZ, HW), pp. 1905–1908.
CIKMCIKM-2016-ZhangTL #multi #network
Clustering Speed in Multi-lane Traffic Networks (BZ, GT, FL), pp. 2045–2048.
ECIRECIR-2016-AkerKBPBHG #approach #graph #online #topic
A Graph-Based Approach to Topic Clustering for Online Comments to News (AA, EK, ARB, MLP, EB, MH, RJG), pp. 15–29.
ICMLICML-2016-ChenQ #category theory
Clustering High Dimensional Categorical Data via Topographical Features (CC0, NQ), pp. 2732–2740.
ICMLICML-2016-DingLHL #distributed
K-Means Clustering with Distributed Dimensions (HD, YL, LH, JL0), pp. 1339–1348.
ICMLICML-2016-KordaSL #distributed #linear #network
Distributed Clustering of Linear Bandits in Peer to Peer Networks (NK, BS, SL), pp. 1301–1309.
ICMLICML-2016-Pimentel-Alarcon #requirements
The Information-Theoretic Requirements of Subspace Clustering with Missing Data (DLPA, RDN), pp. 802–810.
ICMLICML-2016-PuleoM #bound #correlation #fault
Correlation Clustering and Biclustering with Locally Bounded Errors (GJP, OM), pp. 869–877.
ICMLICML-2016-ShenLX #online #rank #taxonomy
Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit (JS0, PL0, HX), pp. 622–631.
ICMLICML-2016-TremblayPGV
Compressive Spectral Clustering (NT, GP, RG, PV), pp. 1002–1011.
ICMLICML-2016-VikramD #interactive
Interactive Bayesian Hierarchical Clustering (SV, SD), pp. 2081–2090.
ICMLICML-2016-XieGF #analysis
Unsupervised Deep Embedding for Clustering Analysis (JX, RBG, AF), pp. 478–487.
ICPRICPR-2016-BaiCWJ0H #classification #graph #kernel
Shape classification with a vertex clustering graph kernel (LB0, LC, YW0, XJ0, XB0, ERH), pp. 2634–2639.
ICPRICPR-2016-BandyopadhyayM #axiom #incremental #performance
Axioms to characterize efficient incremental clustering (SB, MNM), pp. 450–455.
ICPRICPR-2016-ChakeriFH
Spectral sparsification in spectral clustering (AC, HF, LOH), pp. 2301–2306.
ICPRICPR-2016-ComiterCKT #automation #distributed #implementation #parametricity
Lambda means clustering: Automatic parameter search and distributed computing implementation (MZC, MC, HTK, ST), pp. 2331–2337.
ICPRICPR-2016-HaralickDSK #linear
Inexact MDL for linear manifold clusters (RMH, AD, XS, NYK), pp. 1345–1351.
ICPRICPR-2016-HouP #kernel
A new density kernel in density peak based clustering (JH, MP), pp. 468–473.
ICPRICPR-2016-HuangWLLBC #automation #estimation #learning #parametricity
Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation (DH, CDW, JHL, YL0, SB, YC), pp. 444–449.
ICPRICPR-2016-LiuNZWL #automation #multi
Unsupervised automatic attribute discovery method via multi-graph clustering (LL, FN, TZ, AW, BCL), pp. 1713–1718.
ICPRICPR-2016-MoazzenT #approximate #dataset
Sampling based approximate spectral clustering ensemble for partitioning datasets (YM, KT), pp. 1630–1635.
ICPRICPR-2016-MollerNN16a #detection #image #using
Change detection in marine observatory image streams using Bi-Domain Feature Clustering (TM, IN, TWN), pp. 793–798.
ICPRICPR-2016-NguyenNVP #multi #named #parametricity #semistructured data
MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data (TBN, VN0, SV, DQP), pp. 3633–3638.
ICPRICPR-2016-PuZZDY #approximate #matrix #multi #robust
Multiview clustering based on Robust and Regularized Matrix Approximation (JP, QZ0, LZ, BD, JY), pp. 2550–2555.
ICPRICPR-2016-RaiNCD #graph #multi #using
Partial Multi-View Clustering using Graph Regularized NMF (NR, SN, SC, OD), pp. 2192–2197.
ICPRICPR-2016-SahooA0 #approach #automation #generative #multi #using
Automatic generation of biclusters from gene expression data using multi-objective simulated annealing approach (PS, SA, SS0), pp. 2174–2179.
ICPRICPR-2016-SunHH
Structural feature-based event clustering for short text streams (ZS, JH, HH), pp. 3252–3257.
ICPRICPR-2016-ToyamaMS #performance #using
Fast template matching using Brick Partitioning and initial threshold (FT, HM, KS), pp. 687–691.
ICPRICPR-2016-TranVPV
Clustering for point pattern data (NQT, BNV, DQP, BTV), pp. 3174–3179.
ICPRICPR-2016-TripodiVP #matrix
Context aware nonnegative matrix factorization clustering (RT, SV, MP), pp. 1719–1724.
ICPRICPR-2016-WangLHX #image #multi #representation
Manifold Regularized Multi-view Subspace Clustering for image representation (LW0, DL, TH, ZX), pp. 283–288.
ICPRICPR-2016-YanRZC #approach #set
A constrained clustering based approach for matching a collection of feature sets (JY, ZR, HZ, SMC), pp. 3832–3837.
ICPRICPR-2016-YeLYZ #kernel #multi
Co-regularized kernel k-means for multi-view clustering (YY, XL, JY, EZ), pp. 1583–1588.
ICPRICPR-2016-ZemeneTPP #detection #set #using
Simultaneous clustering and outlier detection using dominant sets (EZ, YTT, AP0, MP), pp. 2325–2330.
ICPRICPR-2016-ZhugeHNY #feature model #graph #using
Unsupervised feature extraction using a learned graph with clustering structure (WZ, CH, FN, DY), pp. 3597–3602.
KDDKDD-2016-AgostaGHIKZ #data analysis #scalability #using
Scalable Data Analytics Using R: Single Machines to Hadoop Spark Clusters (JMA, DG, RH, MI, SK, MZ), p. 2115.
KDDKDD-2016-KummerfeldR #metric #modelling
Causal Clustering for 1-Factor Measurement Models (EK, JR), pp. 1655–1664.
KDDKDD-2016-LiangYK #documentation #streaming
Dynamic Clustering of Streaming Short Documents (SL, EY, EK), pp. 995–1004.
KDDKDD-2016-LiuSLF #image #infinity
Infinite Ensemble for Image Clustering (HL, MS, SL0, YF0), pp. 1745–1754.
KDDKDD-2016-MaiAS #algorithm #dataset #named #performance #scalability
AnyDBC: An Efficient Anytime Density-based Clustering Algorithm for Very Large Complex Datasets (STM, IA, MS), pp. 1025–1034.
KDDKDD-2016-MaurusP #named
Skinny-dip: Clustering in a Sea of Noise (SM, CP), pp. 1055–1064.
KDDKDD-2016-WangNH #graph #matrix #probability
Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix (XW, FN, HH), pp. 1245–1254.
KDDKDD-2016-YeGPB #named
FUSE: Full Spectral Clustering (WY0, SG, CP, CB), pp. 1985–1994.
KDDKDD-2016-YinW #algorithm #online #using
A Text Clustering Algorithm Using an Online Clustering Scheme for Initialization (JY, JW), pp. 1995–2004.
ECMFAECMFA-2016-BaburCB #analysis #comparative #metamodelling #visualisation
Hierarchical Clustering of Metamodels for Comparative Analysis and Visualization (ÖB, LC, MvdB), pp. 3–18.
OOPSLAOOPSLA-2016-TreichlerBSSA
Dependent partitioning (ST, MB, RS0, ES, AA), pp. 344–358.
SASSAS-2016-HeoOY #learning #static analysis
Learning a Variable-Clustering Strategy for Octagon from Labeled Data Generated by a Static Analysis (KH, HO, HY), pp. 237–256.
ASEASE-2016-YangHKIBZX #dependence #empirical #predict
An empirical study on dependence clusters for effort-aware fault-proneness prediction (YY, MH, JK, SSI, DB, YZ, BX), pp. 296–307.
FSEFSE-2016-ZalmanoviciRT #analysis #functional #testing
Cluster-based test suite functional analysis (MZ, OR, RTB), pp. 962–967.
ICSE-2016-CheungCLX #automation #detection #named #smell #spreadsheet #using
CUSTODES: automatic spreadsheet cell clustering and smell detection using strong and weak features (SCC, WC, YL, CX0), pp. 464–475.
ICSE-2016-RubinovRMR #android #automation #execution
Automated partitioning of android applications for trusted execution environments (KR, LR, TM, AR), pp. 923–934.
SLESLE-2016-BenelallamTCLC #distributed #model transformation #performance
Efficient model partitioning for distributed model transformations (AB, MT, JSC, JdL, JC), pp. 226–238.
ASPLOSASPLOS-2016-HanJCH #distributed #parallel
Interference Management for Distributed Parallel Applications in Consolidated Clusters (JH, SJ, YrC, JH), pp. 443–456.
CASECASE-2016-ChenKZW #algorithm #classification #novel
A novel under-sampling algorithm based on Iterative-Partitioning Filters for imbalanced classification (XC, QK, MZ, ZW), pp. 490–494.
CASECASE-2016-QiaoZWZL #linear #optimisation #process #tool support
Optimizing close-down processes of single-robot cluster tools via linear programing (YQ, MZ, NW, QZ, ZL), pp. 148–153.
CASECASE-2016-SyJDD #detection #graph
Graph-based clustering for detecting frequent patterns in event log data (ES, SAJ, AD, YD0), pp. 972–977.
CASECASE-2016-YangWBZ #analysis #multi #scheduling #tool support
Optimal one-wafer cyclic scheduling analysis of transport-dominant single-arm multi-cluster tools (FY, NW, LB, MZ), pp. 1405–1410.
CASECASE-2016-YangWQZ #analysis #hybrid #multi #scheduling #tool support
Optimal scheduling analysis of treelike hybrid multi-cluster tools (FY, NW, YQ, MZ), pp. 1400–1404.
CASECASE-2016-ZhouCLZ #algorithm #constraints #reduction
Model reduction method based on selective clustering ensemble algorithm and Theory of Constraints in semiconductor wafer fabrication (CZ, ZC, ML0, JZ), pp. 885–890.
FASEFASE-2016-LinYJL #framework #modelling #named
ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters (JCL, ICY, EBJ, MCL), pp. 49–65.
DRRDRR-2015-NagyEKS #category theory #web
Clustering header categories extracted from web tables (GN, DWE, MSK, SCS).
DRRDRR-2015-SoheiliKS #image #recognition
Clustering of Farsi sub-word images for whole-book recognition (MRS, EK, DS).
HTHT-2015-SampsonMML #keyword #twitter
Surpassing the Limit: Keyword Clustering to Improve Twitter Sample Coverage (JS, FM, RM, HL), pp. 237–245.
SIGMODSIGMOD-2015-AllardHMP #named #privacy
Chiaroscuro: Transparency and Privacy for Massive Personal Time-Series Clustering (TA, GH, FM, EP), pp. 779–794.
SIGMODSIGMOD-2015-ArmenatzoglouPN #approach #game studies #graph #multi #realtime #social
Real-Time Multi-Criteria Social Graph Partitioning: A Game Theoretic Approach (NA, HP, VN, DP, CS), pp. 1617–1628.
SIGMODSIGMOD-2015-CochezM #approximate #distance #linear
Twister Tries: Approximate Hierarchical Agglomerative Clustering for Average Distance in Linear Time (MC, HM), pp. 505–517.
SIGMODSIGMOD-2015-PaparrizosG #named #performance
k-Shape: Efficient and Accurate Clustering of Time Series (JP, LG), pp. 1855–1870.
SIGMODSIGMOD-2015-ZamanianBS #database #parallel
Locality-aware Partitioning in Parallel Database Systems (EZ, CB, AS), pp. 17–30.
VLDBVLDB-2015-AlyAMAHEO #adaptation
A Demonstration of AQWA: Adaptive Query-Workload-Aware Partitioning of Big Spatial Data (AMA, ASA, ARM, WGA, MSH, HE, MO), pp. 1968–1979.
VLDBVLDB-2015-AlyMHAOEQ #adaptation #named
AQWA: Adaptive Query-Workload-Aware Partitioning of Big Spatial Data (AMA, ARM, MSH, WGA, MO, HE, TQ), pp. 2062–2073.
VLDBVLDB-2015-ChuWLHP #detection #named #scalability
ALID: Scalable Dominant Cluster Detection (LC, SW, SL, QH, JP), pp. 826–837.
VLDBVLDB-2015-DingWDFZZ #named #performance #scalability
YADING: Fast Clustering of Large-Scale Time Series Data (RD, QW, YD, QF, HZ, DZ), pp. 473–484.
VLDBVLDB-2015-EldawyAM
Spatial Partitioning Techniques in Spatial Hadoop (AE, LA, MFM), pp. 1602–1613.
VLDBVLDB-2015-SchubertKEZSZ #framework #nondeterminism
A Framework for Clustering Uncertain Data (ES, AK, TE, AZ, KAS, AZ), pp. 1976–1987.
VLDBVLDB-2015-SchuhknechtKD #on the
On the Surprising Difficulty of Simple Things: the Case of Radix Partitioning (FMS, PK, JD), pp. 934–937.
VLDBVLDB-2015-ShiokawaFO #algorithm #graph #performance #scalability
SCAN++: Efficient Algorithm for Finding Clusters, Hubs and Outliers on Large-scale Graphs (HS, YF, MO), pp. 1178–1189.
EDMEDM-2015-Jing #automation #documentation
Automatic Grading of Short Answers for MOOC via Semi-supervised Document Clustering (SJ), pp. 554–555.
EDMEDM-2015-LiuK #fault #learning #student
Variations in Learning Rate: Student Clustering Based on Systematic Residual Error Patterns Across Practice Opportunities (RL0, KRK), pp. 420–423.
EDMEDM-2015-SaarelaK #approach #education #scalability
Do Country Stereotypes Exist in Educational Data? A Clustering Approach for Large, Sparse, and Weighted Data (MS, TK), pp. 156–153.
ITiCSEITiCSE-2015-Rubio #analysis #automation #categorisation #programming #student #using
Automatic Categorization of Introductory Programming Students using Cluster Analysis (MAR), p. 340.
SCAMSCAM-J-2013-BeszedesSCGJG15 #dependence #empirical
Empirical investigation of SEA-based dependence cluster properties (ÁB, LS, BC, TG, JJ, TG), pp. 3–25.
ICSMEICSME-2015-BinkleyBIJV #dependence
Uncovering dependence clusters and linchpin functions (DB, ÁB, SSI, JJ, BV), pp. 141–150.
MSRMSR-2015-TaoK #code review #overview #perspective
Partitioning Composite Code Changes to Facilitate Code Review (YT, SK), pp. 180–190.
SANERSANER-2015-SaeidiHKJ #approach #multi #search-based
A search-based approach to multi-view clustering of software systems (AS, JH, RK, SJ), pp. 429–438.
ICALPICALP-v1-2015-BehsazFSS #algorithm #approximate
Approximation Algorithms for Min-Sum k-Clustering and Balanced k-Median (BB, ZF, MRS, RS), pp. 116–128.
ICALPICALP-v2-2015-FeldmanF #framework #game studies
A Unified Framework for Strong Price of Anarchy in Clustering Games (MF, OF), pp. 601–613.
SEFMSEFM-2015-Jakobs #configuration management #reduction #validation
Speed Up Configurable Certificate Validation by Certificate Reduction and Partitioning (MCJ), pp. 159–174.
AIIDEAIIDE-2015-NormoyleJ #game studies #multi
Bayesian Clustering of Player Styles for Multiplayer Games (AN, STJ), pp. 163–169.
CoGCIG-2015-GlavinM #game studies #learning
Learning to shoot in first person shooter games by stabilizing actions and clustering rewards for reinforcement learning (FGG, MGM), pp. 344–351.
FDGFDG-2015-CampbellTV
Clustering Player Paths (JC, JT, CV).
HCIHIMI-IKC-2015-IshiiMKS #education #topic
A Topic Model for Clustering Learners Based on Contents in Educational Counseling (TI, SM, KK, YS), pp. 323–331.
CAiSECAiSE-2015-AbubahiaC #approach
A Clustering Approach for Protecting GIS Vector Data (AA, MC), pp. 133–147.
CAiSECAiSE-2015-SunB #approach #novel #top-down
A Novel Top-Down Approach for Clustering Traces (YS, BB), pp. 331–345.
ICEISICEIS-v1-2015-CarboneraA #algorithm #category theory #named
CBK-Modes: A Correlation-based Algorithm for Categorical Data Clustering (JLC, MA), pp. 603–608.
ICEISICEIS-v1-2015-CostaFMO #database #scalability
Sharding by Hash Partitioning — A Database Scalability Pattern to Achieve Evenly Sharded Database Clusters (CHC, JVBMF, PHMM, FCMBO), pp. 313–320.
ICEISICEIS-v1-2015-SautotBJF #design #modelling #multi #refinement
Mixed Driven Refinement Design of Multidimensional Models based on Agglomerative Hierarchical Clustering (LS, SB, LJ, BF), pp. 547–555.
CIKMCIKM-2015-AilemRN #composition #graph #matrix
Co-clustering Document-term Matrices by Direct Maximization of Graph Modularity (MA, FR, MN), pp. 1807–1810.
CIKMCIKM-2015-ChenYC #difference #privacy
WaveCluster with Differential Privacy (LC, TY, RC), pp. 1011–1020.
CIKMCIKM-2015-GhoshP #feedback
Clustered Semi-Supervised Relevance Feedback (KG, SKP), pp. 1723–1726.
CIKMCIKM-2015-GribelBA #approach #detection
A Clustering-based Approach to Detect Probable Outcomes of Lawsuits (DLG, MGdB, LGA), pp. 1831–1834.
CIKMCIKM-2015-HongWW #classification #learning
Clustering-based Active Learning on Sensor Type Classification in Buildings (DH, HW, KW), pp. 363–372.
CIKMCIKM-2015-HuangLY #approach #data type #parallel #performance
A Parallel GPU-Based Approach to Clustering Very Fast Data Streams (PH, XL, BY0), pp. 23–32.
CIKMCIKM-2015-JiangLSW #behaviour #matrix #predict #twitter
Message Clustering based Matrix Factorization Model for Retweeting Behavior Prediction (BJ, JL, YS, LW), pp. 1843–1846.
CIKMCIKM-2015-KangGWM #algorithm #network #scalability
Scalable Clustering Algorithm via a Triangle Folding Processing for Complex Networks (YK, XG, WW0, DM), pp. 33–42.
CIKMCIKM-2015-KangPC #approximate #rank #robust
Robust Subspace Clustering via Tighter Rank Approximation (ZK, CP, QC), pp. 393–401.
CIKMCIKM-2015-MishraH #learning #multi #using
Learning Task Grouping using Supervised Task Space Partitioning in Lifelong Multitask Learning (MM, JH), pp. 1091–1100.
CIKMCIKM-2015-NandiSLDR
Lifespan-based Partitioning of Index Structures for Time-travel Text Search (AN, SS, SL, PMD, SR), pp. 123–132.
CIKMCIKM-2015-PetroniQDKI #graph #named
HDRF: Stream-Based Partitioning for Power-Law Graphs (FP, LQ, KD, SK, GI), pp. 243–252.
CIKMCIKM-2015-WangYHWT #multi #rank #representation
Multi-view Clustering via Structured Low-rank Representation (DW, QY, RH, LW0, TT), pp. 1911–1914.
CIKMCIKM-2015-YinWW #learning #multi
Incomplete Multi-view Clustering via Subspace Learning (QY, SW, LW0), pp. 383–392.
CIKMCIKM-2015-Zhao #graph #named
gSparsify: Graph Motif Based Sparsification for Graph Clustering (PZ), pp. 373–382.
ECIRECIR-2015-AmigoGM #approach #effectiveness #formal method #information management #metric #retrieval
A Formal Approach to Effectiveness Metrics for Information Access: Retrieval, Filtering, and Clustering (EA, JG, SM), pp. 817–821.
ECIRECIR-2015-KimVBR #multi
Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering (YMK, JV, SB, MAR), pp. 593–604.
ECIRECIR-2015-KingI #generative #music
Generating Music Playlists with Hierarchical Clustering and Q-Learning (JK, VI), pp. 315–326.
ICMLICML-2015-AhnCGMW #correlation #data type
Correlation Clustering in Data Streams (KJA, GC, SG, AM, AW), pp. 2237–2246.
ICMLICML-2015-BahadoriKFL #functional
Functional Subspace Clustering with Application to Time Series (MTB, DCK, YF, YL), pp. 228–237.
ICMLICML-2015-BoutsidisKG
Spectral Clustering via the Power Method — Provably (CB, PK, AG), pp. 40–48.
ICMLICML-2015-GhoshdastidarD
A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitioning (DG, AD), pp. 400–409.
ICMLICML-2015-LimCX #framework #optimisation
A Convex Optimization Framework for Bi-Clustering (SHL, YC, HX), pp. 1679–1688.
ICMLICML-2015-SunLXB #multi
Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization (JS, JL, TX, JB), pp. 757–766.
ICMLICML-2015-WangWS #analysis
A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data (YW, YXW, AS), pp. 1422–1431.
ICMLICML-2015-WangZ #named #parametricity
DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics (YW, JZ), pp. 862–870.
ICMLICML-2015-YangRV
Sparse Subspace Clustering with Missing Entries (CY, DR, RV), pp. 2463–2472.
ICMLICML-2015-YangX15b #distributed #divide and conquer #framework #graph
A Divide and Conquer Framework for Distributed Graph Clustering (WY, HX), pp. 504–513.
KDDKDD-2015-BegumUWK #novel
Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy (NB, LU, JW, EJK), pp. 49–58.
KDDKDD-2015-BotezatuBGVW #multi
Multi-View Incident Ticket Clustering for Optimal Ticket Dispatching (MMB, JB, IG, HV, DW), pp. 1711–1720.
KDDKDD-2015-DuFASS #documentation #process
Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams (ND, MF, AA, AJS, LS), pp. 219–228.
KDDKDD-2015-FisherCWR #framework
A Clustering-Based Framework to Control Block Sizes for Entity Resolution (JF, PC, QW, ER), pp. 279–288.
KDDKDD-2015-HallacLB #graph #network #optimisation #scalability
Network Lasso: Clustering and Optimization in Large Graphs (DH, JL, SB), pp. 387–396.
KDDKDD-2015-HouWGD #programming #rank
Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming (YH, JJW, DFG, ISD), pp. 427–436.
KDDKDD-2015-LiuLWTF
Spectral Ensemble Clustering (HL, TL, JW, DT, YF), pp. 715–724.
KDDKDD-2015-MayaMMAY #using
Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering (SM, KM, HM, RA, KY), pp. 1979–1988.
KDDKDD-2015-NiTFZ #flexibility #multi #robust
Flexible and Robust Multi-Network Clustering (JN, HT, WF, XZ), pp. 835–844.
KDDKDD-2015-PengKLC #approximate #rank #using
Subspace Clustering Using Log-determinant Rank Approximation (CP, ZK, HL, QC), pp. 925–934.
KDDKDD-2015-RenEWTVH #effectiveness #named #recognition #type system
ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering (XR, AEK, CW, FT, CRV, JH), pp. 995–1004.
KDDKDD-2015-SongLZ
Turn Waste into Wealth: On Simultaneous Clustering and Cleaning over Dirty Data (SS, CL, XZ), pp. 1115–1124.
KDDKDD-2015-Verroios0JG #modelling
Client Clustering for Hiring Modeling in Work Marketplaces (VV, PP, RJ, HGM), pp. 2187–2196.
KDDKDD-2015-WangSERZH #documentation #network
Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks (CW, YS, AEK, DR, MZ, JH), pp. 1215–1224.
KDDKDD-2015-Yi0YLW #algorithm #constraints #performance
An Efficient Semi-Supervised Clustering Algorithm with Sequential Constraints (JY, LZ, TY, WL, JW), pp. 1405–1414.
KDDKDD-2015-ZhouLB #analysis #graph
Integrating Vertex-centric Clustering with Edge-centric Clustering for Meta Path Graph Analysis (YZ, LL, DB), pp. 1563–1572.
KDDKDD-2015-ZhuYH #optimisation #predict
Co-Clustering based Dual Prediction for Cargo Pricing Optimization (YZ, HY, JH), pp. 1583–1592.
MLDMMLDM-2015-AmalamanE #algorithm #named
Avalanche: A Hierarchical, Divisive Clustering Algorithm (PKA, CFE), pp. 296–310.
MLDMMLDM-2015-IshayH #algorithm #integration #novel
A Novel Algorithm for the Integration of the Imputation of Missing Values and Clustering (RBI, MH), pp. 115–129.
MLDMMLDM-2015-MojahedBWI #analysis #matrix #semistructured data #similarity #using
Applying Clustering Analysis to Heterogeneous Data Using Similarity Matrix Fusion (SMF) (AM, JHBS, WW, BdlI), pp. 251–265.
MLDMMLDM-2015-OliveiraVZ #on the
On Bicluster Aggregation and its Benefits for Enumerative Solutions (SHGdO, RV, FJVZ), pp. 266–280.
MLDMMLDM-2015-TreechalongRW #using
Semi-Supervised Stream Clustering Using Labeled Data Points (KT, TR, KW), pp. 281–295.
SEKESEKE-2015-SaberE #algorithm #array #novel
BiBinConvmean : A Novel Biclustering Algorithm for Binary Microarray Data (HBS, ME), pp. 178–181.
SIGIRSIGIR-2015-HarelY #identification #query
Modularity-Based Query Clustering for Identifying Users Sharing a Common Condition (MGOH, EYT), pp. 819–822.
AdaEuropeAdaEurope-2015-PerezGTT #concept #manycore #safety
A Safety Concept for an IEC-61508 Compliant Fail-Safe Wind Power Mixed-Criticality System Based on Multicore and Partitioning (JP, DG, ST, TT), pp. 3–17.
REFSQREFSQ-2015-DuanDCM #online #requirements
User-Constrained Clustering in Online Requirements Forums (CD, HD, JCH, BM), pp. 284–299.
SACSAC-2015-BarddalGE #algorithm #data type #named #social
SNCStream: a social network-based data stream clustering algorithm (JPB, HMG, FE), pp. 935–940.
SACSAC-2015-DiasGKT #3d #adaptation #architecture #collaboration
A dynamic-adaptive architecture for 3d collaborative virtual environments based on graphic clusters (DRCD, MdPG, TWK, LCT), pp. 480–487.
SACSAC-2015-GuedesBOX #graph #multi
Exploring multiple clusterings in attributed graphs (GPG, EB, ESO, GX), pp. 915–918.
SACSAC-2015-HanHQY
Locality-preserving L1-graph and its application in clustering (SH, HH, HQ, DY), pp. 813–818.
SACSAC-2015-HendersonGE #empirical #named #parametricity #performance #probability
EP-MEANS: an efficient nonparametric clustering of empirical probability distributions (KH, BG, TER), pp. 893–900.
SACSAC-2015-KimHC #documentation #representation #semantics
Semantically enriching text representation model for document clustering (HjK, KjH, JyC), pp. 922–925.
SACSAC-2015-LiuI #framework #optimisation #parallel #using
An ETL optimization framework using partitioning and parallelization (XL, NI), pp. 1015–1022.
SACSAC-2015-MonteiroL #power management #scalability #web
Scalable model for dynamic configuration and power management in virtualized heterogeneous web clusters (AFM, OL), pp. 464–467.
SACSAC-2015-RodriguesBM #approach #behaviour #correlation #energy #using
Using fractal clustering to explore behavioral correlation: a new approach to reduce energy consumption in WSN (FR, AB, JEBM), pp. 589–591.
SACSAC-2015-SilvaBAR #multi #prototype #using
Semi-supervised clustering using multi-assistant-prototypes to represent each cluster (WJS, MCNB, SdA, HLR), pp. 831–836.
CASECASE-2015-BoH #fault #process
Qualitative trend clustering of process data for fault diagnosis (ZB, YH), pp. 1584–1588.
CASECASE-2015-FeiAR #bound #resource management #symbolic computation #using
Symbolic computation of boundary unsafe states in complex resource allocation systems using partitioning techniques (ZF, , SAR), pp. 799–806.
CASECASE-2015-PanZQ #how #process #tool support
How to start-up dual-arm cluster tools involving a wafer revisiting process (CP, MZ, YQ), pp. 1194–1199.
CASECASE-2015-SchafaschekQC #composition #scheduling #tool support
Local modular supervisory control applied to the scheduling of cluster tools (GS, MHdQ, JERC), pp. 1381–1388.
CASECASE-2015-ZhuQZ #modelling #multi #petri net #scheduling #tool support
Petri net modeling and one-wafer scheduling of single-arm tree-like multi-cluster tools (QZ, YQ, MZ), pp. 292–297.
DACDAC-2015-JiangWS #power management #sorting
A low power unsupervised spike sorting accelerator insensitive to clustering initialization in sub-optimal feature space (ZJ, QW, MS), p. 6.
DACDAC-2015-MengYOLW #array #data access #memory management #parallel #performance
Efficient memory partitioning for parallel data access in multidimensional arrays (CM, SY, PO, LL, SW), p. 6.
DACDAC-2015-PanthSDL #3d #delivery #mobile #power management #trade-off
Tier-partitioning for power delivery vs cooling tradeoff in 3D VLSI for mobile applications (SP, KS, YD, SKL), p. 6.
DACDAC-2015-RahimiCMGB #embedded #hardware #memory management #scheduling #variability
Task scheduling strategies to mitigate hardware variability in embedded shared memory clusters (AR, DC, AM, RKG, LB), p. 6.
DATEDATE-2015-0001B #energy #manycore #performance
A ultra-low-energy convolution engine for fast brain-inspired vision in multicore clusters (FC, LB), pp. 683–688.
DATEDATE-2015-CakirM #correlation #detection #hardware #using
Hardware Trojan detection for gate-level ICs using signal correlation based clustering (, SM), pp. 471–476.
DATEDATE-2015-CilardoG #memory management #multi
Interplay of loop unrolling and multidimensional memory partitioning in HLS (AC, LG), pp. 163–168.
DATEDATE-2015-HuangHC #algorithm #framework #multi #problem #scalability
Clustering-based multi-touch algorithm framework for the tracking problem with a large number of points (SLH, SYH, CPC), pp. 719–724.
DATEDATE-2015-LiDC #algorithm #power of
A scan partitioning algorithm for reducing capture power of delay-fault LBIST (NL, ED, GC), pp. 842–847.
DATEDATE-2015-LoCH #architecture #fault
Architecture of ring-based redundant TSV for clustered faults (WHL, KC, TH), pp. 848–853.
HPCAHPCA-2015-RosDK #classification #performance
Hierarchical private/shared classification: The key to simple and efficient coherence for clustered cache hierarchies (AR, MD, SK), pp. 186–197.
HPDCHPDC-2015-SabneSE #named #pipes and filters #programming
HeteroDoop: A MapReduce Programming System for Accelerator Clusters (AS, PS, RE), pp. 235–246.
ISMMISMM-2015-CutlerM
Reducing pause times with clustered collection (CC, RM), pp. 131–142.
PDPPDP-2015-ArresKB #multi #optimisation
Optimizing OLAP Cubes Construction by Improving Data Placement on Multi-nodes Clusters (BA, NK, OB), pp. 520–524.
PDPPDP-2015-CheshmiMVTT #architecture
A Clustered GALS NoC Architecture with Communication-Aware Mapping (KC, SM, DV, DT, JT), pp. 425–429.
PDPPDP-2015-RossiXMR #energy #on the
On the Impact of Energy-Efficient Strategies in HPC Clusters (FDR, MGX, YJM, CAFDR), pp. 17–21.
PDPPDP-2015-ZahidGBJS #algorithm #enterprise #performance
A Weighted Fat-Tree Routing Algorithm for Efficient Load-Balancing in Infini Band Enterprise Clusters (FZ, EGG, BB, BDJ, TS), pp. 35–42.
PPoPPPPoPP-2015-XiangS #hardware #transaction
Software partitioning of hardware transactions (LX, MLS), pp. 76–86.
STOCSTOC-2015-ChanL #combinator #integer
Clustered Integer 3SUM via Additive Combinatorics (TMC, ML), pp. 31–40.
STOCSTOC-2015-ChawlaMSY #algorithm #graph
Near Optimal LP Rounding Algorithm for CorrelationClustering on Complete and Complete k-partite Graphs (SC, KM, TS, GY), pp. 219–228.
STOCSTOC-2015-CohenEMMP #approximate #rank #reduction
Dimensionality Reduction for k-Means Clustering and Low Rank Approximation (MBC, SE, CM, CM, MP), pp. 163–172.
STOCSTOC-2015-CzumajPS #graph #testing
Testing Cluster Structure of Graphs (AC, PP, CS), pp. 723–732.
ICSTICST-2015-ErmanTBRA #approach #automation #development #information management #multi #navigation #testing
Navigating Information Overload Caused by Automated Testing — a Clustering Approach in Multi-Branch Development (NE, VT, MB, PR, AA), pp. 1–9.
ICTSSICTSS-2015-SultanBGDZ #algorithm #search-based
Genetic Algorithm Application for Enhancing State-Sensitivity Partitioning (AMS, SB, AAAG, JD, HZ), pp. 249–256.
ICSTSAT-2015-HyvarinenMS #smt
Search-Space Partitioning for Parallelizing SMT Solvers (AEJH, MM, NS), pp. 369–386.
VMCAIVMCAI-2015-BackesR #abstraction #analysis #graph transformation #infinity
Analysis of Infinite-State Graph Transformation Systems by Cluster Abstraction (PB, JR), pp. 135–152.
WICSAWICSA-2014-SapienzaCP #architecture #multi
Architectural Decisions for HW/SW Partitioning Based on Multiple Extra-Functional Properties (GS, IC, PP), pp. 175–184.
DocEngDocEng-2014-NourashrafeddinMA #approach #concept #documentation #using #wiki
An ensemble approach for text document clustering using Wikipedia concepts (SN, EEM, DVA), pp. 107–116.
DRRDRR-2014-DiemKFS #automation #documentation #image #retrieval
Semi-automated document image clustering and retrieval (MD, FK, SF, RS), p. ?–10.
JCDLJCDL-2014-MorenoD #induction #web #word
PageRank-based Word Sense Induction within Web Search Results Clustering (JGM, GD), pp. 465–466.
SIGMODSIGMOD-2014-PolychroniouR #in memory #scalability
A comprehensive study of main-memory partitioning and its application to large-scale comparison- and radix-sort (OP, KAR), pp. 755–766.
SIGMODSIGMOD-2014-ShiMWC #network
Density-based place clustering in geo-social networks (JS, NM, DW, DWC), pp. 99–110.
SIGMODSIGMOD-2014-SunFKX #fine-grained
Fine-grained partitioning for aggressive data skipping (LS, MJF, SK, RSX), pp. 1115–1126.
SIGMODSIGMOD-2014-TranNST #approach #named
JECB: a join-extension, code-based approach to OLTP data partitioning (KQT, JFN, BS, DT), pp. 39–50.
SIGMODSIGMOD-2014-ZhuGCL #analysis #graph #sentiment #social #social media
Tripartite graph clustering for dynamic sentiment analysis on social media (LZ, AG, JC, KL), pp. 1531–1542.
VLDBVLDB-2014-KunjirKB #multi #named #towards
Thoth: Towards Managing a Multi-System Cluster (MK, PK, SB), pp. 1689–1692.
VLDBVLDB-2014-SarmaHC #framework #named #similarity #using
ClusterJoin: A Similarity Joins Framework using Map-Reduce (ADS, YH, SC), pp. 1059–1070.
VLDBVLDB-2014-SunKXF #framework
A Partitioning Framework for Aggressive Data Skipping (LS, SK, RSX, MJF), pp. 1617–1620.
VLDBVLDB-2014-XuCC #graph #named
LogGP: A Log-based Dynamic Graph Partitioning Method (NX, LC, BC), pp. 1917–1928.
VLDBVLDB-2015-TaftMSDEAPS14 #distributed #fine-grained #named #transaction
E-Store: Fine-Grained Elastic Partitioning for Distributed Transaction Processing (RT, EM, MS, JD, AJE, AA, AP, MS), pp. 245–256.
EDMEDM-2014-BergnerSD #assessment #sequence #visualisation
Visualization and Confirmatory Clustering of Sequence Data from a Simulation-Based Assessment Task (YB, ZS, AAvD), pp. 177–184.
EDMEDM-2014-ValeMA #education #evolution #mining
Mining coherent evolution patterns in education through biclustering (AV, SCM, CA), pp. 391–392.
SANERCSMR-WCRE-2014-AlalfiCD #analysis #experience #industrial
Analysis and clustering of model clones: An automotive industrial experience (MHA, JRC, TRD), pp. 375–378.
SANERCSMR-WCRE-2014-SantosVA #analysis #semantics #using
Remodularization analysis using semantic clustering (GS, MTV, NA), pp. 224–233.
ICPCICPC-2014-WenT #evaluation #product line
The MoJo family: a story about clustering evaluation (ZW, VT), p. 2.
ICSMEICSME-2014-Muske #analysis #overview
Improving Review of Clustered-Code Analysis Warnings (TM), pp. 569–572.
ICSMEICSME-2014-YamauchiYHHK #commit #comprehension #implementation
Clustering Commits for Understanding the Intents of Implementation (KY, JY, KH, YH, SK), pp. 406–410.
ICALPICALP-v1-2014-MakarychevM #graph
Nonuniform Graph Partitioning with Unrelated Weights (KM, YM), pp. 812–822.
AIIDEAIIDE-2014-NogueiraARON #fuzzy #modelling
Fuzzy Affective Player Models: A Physiology-Based Hierarchical Clustering Method (PAN, RA, RAR, ECO, LEN).
CoGCIG-2014-BauckhageSDTH #behaviour #game studies #heatmap #using
Beyond heatmaps: Spatio-temporal clustering using behavior-based partitioning of game levels (CB, RS, AD, CT, FH), pp. 1–8.
CoGCIG-2014-JustesenTTR
Script- and cluster-based UCT for StarCraft (NJ, BT, JT, SR), pp. 1–8.
CHICHI-2014-SunBNR #interactive
The role of interactive biclusters in sensemaking (MS, LB, CLN, NR), pp. 1559–1562.
CSCWCSCW-2014-AndreKD #category theory #synthesis
Crowd synthesis: extracting categories and clusters from complex data (PA, AK, SPD), pp. 989–998.
HCIHIMI-AS-2014-XingGLK
Decision Support Based on Time-Series Analytics: A Cluster Methodology (WX, RG, NL, TRK), pp. 217–225.
HCIHIMI-DE-2014-BoscarioliVTR #human-computer #tool support
Analyzing HCI Issues in Data Clustering Tools (CB, JV, MFT, VHR), pp. 22–33.
HCIHIMI-DE-2014-SugayaNT #recognition #using
Enhancement of Accuracy of Hand Shape Recognition Using Color Calibration by Clustering Scheme and Majority Voting Method (TS, HN, HT), pp. 251–260.
HCIHIMI-DE-2014-ValdezSZH #network #platform #research #scalability #social #visualisation
Enhancing Interdisciplinary Cooperation by Social Platforms — Assessing the Usefulness of Bibliometric Social Network Visualization in Large-Scale Research Clusters (ACV, AKS, MZ, AH), pp. 298–309.
ICEISICEIS-v1-2014-AmorimC #evaluation
Paired Indices for Clustering Evaluation — Correction for Agreement by Chance (MJA, MGMSC), pp. 164–170.
ICEISICEIS-v1-2014-HuangZZ #generative #multi
Multi-domain Schema Clustering and Hierarchical Mediated Schema Generation (QH, CZ, JZ), pp. 111–118.
ICEISICEIS-v1-2014-SilvaLS #integration #maintenance #semantics
A Proposal to Maintain the Semantic Balance in Cluster-based Data Integration Systems (ERdS, BFL, ACS), pp. 90–98.
ICEISICEIS-v2-2014-BorattoC #collaboration #recommendation #using
Using Collaborative Filtering to Overcome the Curse of Dimensionality when Clustering Users in a Group Recommender System (LB, SC), pp. 564–572.
CIKMCIKM-2014-ChatzistergiouV #data type #heuristic #performance
Fast Heuristics for Near-Optimal Task Allocation in Data Stream Processing over Clusters (AC, SDV), pp. 1579–1588.
CIKMCIKM-2014-Deolalikar14a #behaviour #modelling #parametricity #retrieval
Parameter Tuning with User Models: Influencing Aggregate User Behavior in Cluster Based Retrieval Systems (VD), pp. 1823–1826.
CIKMCIKM-2014-Deolalikar14b #documentation #what
What is the Shape of a Cluster?: Structural Comparisons of Document Clusters (VD), pp. 1927–1930.
CIKMCIKM-2014-HeiseKN
Estimating the Number and Sizes of Fuzzy-Duplicate Clusters (AH, GK, FN), pp. 959–968.
CIKMCIKM-2014-NguyenL #multi
Dynamic Clustering of Contextual Multi-Armed Bandits (TTN, HWL), pp. 1959–1962.
CIKMCIKM-2014-NtoutsiSRK #difference #quote #recommendation
“Strength Lies in Differences”: Diversifying Friends for Recommendations through Subspace Clustering (EN, KS, KR, HPK), pp. 729–738.
CIKMCIKM-2014-QianZ #feature model #multi #web
Unsupervised Feature Selection for Multi-View Clustering on Text-Image Web News Data (MQ, CZ), pp. 1963–1966.
CIKMCIKM-2014-ShiWLYW #network
Ranking-based Clustering on General Heterogeneous Information Networks by Network Projection (CS, RW, YL, PSY, BW), pp. 699–708.
CIKMCIKM-2014-VlachosFMKV #quality #recommendation
Improving Co-Cluster Quality with Application to Product Recommendations (MV, FF, CM, ATK, VGV), pp. 679–688.
CIKMCIKM-2014-XuLL #collaboration #community #overview
Collaborative Filtering Incorporating Review Text and Co-clusters of Hidden User Communities and Item Groups (YX, WL, TL), pp. 251–260.
CIKMCIKM-2014-YangLLLH #automation #detection #multi #social #using
Automatic Social Circle Detection Using Multi-View Clustering (YY, CL, XL, BL, JH), pp. 1019–1028.
CIKMCIKM-2014-ZhangXTW0 #framework #generative #named #platform #wiki
WiiCluster: a Platform for Wikipedia Infobox Generation (KZ, YX, HT, HW, WW), pp. 2033–2035.
ECIRECIR-2014-CamposDJN #interface #named #query
GTE-Cluster: A Temporal Search Interface for Implicit Temporal Queries (RC, GD, AMJ, CN), pp. 775–779.
ECIRECIR-2014-FrommholzA #on the
On Clustering and Polyrepresentation (IF, MKA), pp. 618–623.
ECIRECIR-2014-Kurland #information retrieval
The Cluster Hypothesis in Information Retrieval (OK), pp. 823–826.
ECIRECIR-2014-LiangRR #documentation #microblog #semantics
The Impact of Semantic Document Expansion on Cluster-Based Fusion for Microblog Search (SL, ZR, MdR), pp. 493–499.
ECIRECIR-2014-Moe
Improvements to Suffix Tree Clustering (REM), pp. 662–667.
ICMLICML-c1-2014-GopalY #modelling
Von Mises-Fisher Clustering Models (SG, YY), pp. 154–162.
ICMLICML-c1-2014-LajugieBA #learning #metric #problem
Large-Margin Metric Learning for Constrained Partitioning Problems (RL, FRB, SA), pp. 297–305.
ICMLICML-c1-2014-NguyenPNVB #multi #parametricity
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts (TVN, DQP, XN, SV, HB), pp. 288–296.
ICMLICML-c1-2014-SamdaniCR #online
A Discriminative Latent Variable Model for Online Clustering (RS, KWC, DR), pp. 1–9.
ICMLICML-c1-2014-SteegGSD
Demystifying Information-Theoretic Clustering (GVS, AG, FS, SD), pp. 19–27.
ICMLICML-c2-2014-AwasthiBV #algorithm #interactive
Local algorithms for interactive clustering (PA, MFB, KV), pp. 550–558.
ICMLICML-c2-2014-Ben-DavidH
Clustering in the Presence of Background Noise (SBD, NH), pp. 280–288.
ICMLICML-c2-2014-CarlssonMRS #network #symmetry
Hierarchical Quasi-Clustering Methods for Asymmetric Networks (GEC, FM, AR, SS), pp. 352–360.
ICMLICML-c2-2014-ChenLX #graph #nondeterminism
Weighted Graph Clustering with Non-Uniform Uncertainties (YC, SHL, HX), pp. 1566–1574.
ICMLICML-c2-2014-GentileLZ #online
Online Clustering of Bandits (CG, SL, GZ), pp. 757–765.
ICMLICML-c2-2014-RomanoBNV #standard
Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance (SR, JB, XVN, KV), pp. 1143–1151.
ICMLICML-c2-2014-Yi0WJJ #algorithm
A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data (JY, LZ, JW, RJ, AKJ), pp. 658–666.
ICPRICPR-2014-BauckhageM #analysis #kernel #web
Kernel Archetypal Analysis for Clustering Web Search Frequency Time Series (CB, KM), pp. 1544–1549.
ICPRICPR-2014-BloomMA #online #recognition
Clustered Spatio-temporal Manifolds for Online Action Recognition (VB, DM, VA), pp. 3963–3968.
ICPRICPR-2014-BruneauPO #algorithm #automation #heuristic
A Heuristic for the Automatic Parametrization of the Spectral Clustering Algorithm (PB, OP, BO), pp. 1313–1318.
ICPRICPR-2014-Cardenas-PenaOCAC #3d #kernel #representation
A Kernel-Based Representation to Support 3D MRI Unsupervised Clustering (DCP, MOA, AECO, AMÁM, GCD), pp. 3203–3208.
ICPRICPR-2014-ChakeriH #approach #framework #game studies #set
Dominant Sets as a Framework for Cluster Ensembles: An Evolutionary Game Theory Approach (AC, LOH), pp. 3457–3462.
ICPRICPR-2014-ChamroukhiBG #parametricity
Bayesian Non-parametric Parsimonious Gaussian Mixture for Clustering (FC, MB, HG), pp. 1460–1465.
ICPRICPR-2014-ChandrasekharTMLLL #graph #incremental #performance #retrieval #streaming #video
Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data (VC, CT, WM, LL, XL, JHL), pp. 2631–2636.
ICPRICPR-2014-ChaudhariM #matrix #semistructured data #symmetry #using
Average Overlap for Clustering Incomplete Data Using Symmetric Non-negative Matrix Factorization (SC, MNM), pp. 1431–1436.
ICPRICPR-2014-DeCannRC #on the
On Clustering Human Gait Patterns (BD, AR, MC), pp. 1794–1799.
ICPRICPR-2014-DiotFJMM #graph
Unsupervised Tracking from Clustered Graph Patterns (FD, ÉF, BJ, EM, OM), pp. 3678–3683.
ICPRICPR-2014-DumonceauxRG #algebra #approach
An Algebraic Approach to Ensemble Clustering (FD, GR, MG), pp. 1301–1306.
ICPRICPR-2014-FahadTR #classification #process #recognition #smarttech #using
Activity Recognition in Smart Homes Using Clustering Based Classification (LGF, SFT, MR), pp. 1348–1353.
ICPRICPR-2014-GuoZLCZ #kernel #learning #multi
Multiple Kernel Learning Based Multi-view Spectral Clustering (DG, JZ, XL, YC, CZ), pp. 3774–3779.
ICPRICPR-2014-HasnatAT #image #using
Unsupervised Clustering of Depth Images Using Watson Mixture Model (MAH, OA, AT), pp. 214–219.
ICPRICPR-2014-HouXCXQ #robust #set
Robust Clustering Based on Dominant Sets (JH, EX, LC, QX, NQ), pp. 1466–1471.
ICPRICPR-2014-HuangHWW #network
Deep Embedding Network for Clustering (PH, YH, WW, LW), pp. 1532–1537.
ICPRICPR-2014-IoannidisCL #modelling #multi #using
Key-Frame Extraction Using Weighted Multi-view Convex Mixture Models and Spectral Clustering (AI, VC, AL), pp. 3463–3468.
ICPRICPR-2014-KrawczykWC #classification #fuzzy
Weighted One-Class Classifier Ensemble Based on Fuzzy Feature Space Partitioning (BK, MW, BC), pp. 2838–2843.
ICPRICPR-2014-LefevreAG
Brain Lobes Revealed by Spectral Clustering (JL, GA, DG), pp. 562–567.
ICPRICPR-2014-MarcaciniDHR #approach #documentation #learning #metric
Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach (RMM, MAD, ERH, SOR), pp. 3636–3641.
ICPRICPR-2014-Mishra0M #database #on the #validation
On Validation of Clustering Techniques for Bibliographic Databases (SM, SS, SM), pp. 3150–3155.
ICPRICPR-2014-RazafindramananaRV #incremental
Incremental Delaunay Triangulation Construction for Clustering (OR, FR, GV), pp. 1354–1359.
ICPRICPR-2014-RosaCJPFT #network #on the #using
On the Training of Artificial Neural Networks with Radial Basis Function Using Optimum-Path Forest Clustering (GHR, KAPC, LAPJ, JPP, AXF, JMRST), pp. 1472–1477.
ICPRICPR-2014-TasdemirMY #approximate
Geodesic Based Similarities for Approximate Spectral Clustering (KT, YM, IY), pp. 1360–1364.
ICPRICPR-2014-XiaPQ
Face Clustering in Photo Album (SYX, HP, AKQ), pp. 2844–2848.
ICPRICPR-2014-YanRLSS #analysis #invariant #linear #multi #recognition
Clustered Multi-task Linear Discriminant Analysis for View Invariant Color-Depth Action Recognition (YY, ER, GL, RS, NS), pp. 3493–3498.
ICPRICPR-2014-ZouYCDJ #correlation #topic #video
A Belief Based Correlated Topic Model for Trajectory Clustering in Crowded Video Scenes (JZ, QY, YC, DSD, JJ), pp. 2543–2548.
KDDKDD-2014-BonchiGL #correlation #theory and practice
Correlation clustering: from theory to practice (FB, DGS, EL), p. 1972.
KDDKDD-2014-ChierichettiDK #correlation #pipes and filters
Correlation clustering in MapReduce (FC, NND, RK), pp. 641–650.
KDDKDD-2014-FuXGYZZ #dependence #ranking
Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering (YF, HX, YG, ZY, YZ, ZHZ), pp. 1047–1056.
KDDKDD-2014-GolshanLT
Profit-maximizing cluster hires (BG, TL, ET), pp. 1196–1205.
KDDKDD-2014-GunnemannFRS #multi #named
SMVC: semi-supervised multi-view clustering in subspace projections (SG, IF, MR, TS), pp. 253–262.
KDDKDD-2014-HeFKMP #category theory
Relevant overlapping subspace clusters on categorical data (XH, JF, BK, STM, CP), pp. 213–222.
KDDKDD-2014-LinRRYRF #enterprise #scalability
Unveiling clusters of events for alert and incident management in large-scale enterprise it (DL, RR, VR, JY, RR, JF), pp. 1630–1639.
KDDKDD-2014-NieWH #adaptation
Clustering and projected clustering with adaptive neighbors (FN, XW, HH), pp. 977–986.
KDDKDD-2014-PerozziASM #detection #graph #scalability
Focused clustering and outlier detection in large attributed graphs (BP, LA, PIS, EM), pp. 1346–1355.
KDDKDD-2014-RenLYKGWH #effectiveness #named #recommendation
ClusCite: effective citation recommendation by information network-based clustering (XR, JL, XY, UK, QG, LW, JH), pp. 821–830.
KDDKDD-2014-RossCCD #process
Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease (JCR, PJC, MHC, JGD), pp. 155–162.
KDDKDD-2014-YinW #approach #modelling #multi
A dirichlet multinomial mixture model-based approach for short text clustering (JY, JW), pp. 233–242.
KDDKDD-2014-ZufleESMZR #nondeterminism
Representative clustering of uncertain data (AZ, TE, KAS, NM, AZ, MR), pp. 243–252.
KDIRKDIR-2014-BigdeliMRM #summary
Arbitrary Shape Cluster Summarization with Gaussian Mixture Model (EB, MM, BR, SM), pp. 43–52.
KDIRKDIR-2014-JohnsonC #identification #network
Mathematical Foundations of Networks Supporting Cluster Identification (JEJ, JWC), pp. 277–285.
KDIRKDIR-2014-OliveiraBSC #automation #classification #twitter
Combining Clustering and Classification Approaches for Reducing the Effort of Automatic Tweets Classification (EO, HGB, MRS, PMC), pp. 465–472.
KMISKMIS-2014-PascalT #experience #framework #information management #memory management #platform
Transactive Memory System in Clusters — The Knowledge Management Platform Experience (AP, CT), pp. 5–14.
MLDMMLDM-2014-BaroutiKKM #data type #distributed #monitoring
Monitoring Distributed Data Streams through Node Clustering (MB, DK, JK, YM), pp. 149–162.
MLDMMLDM-2014-HassaniSS #adaptation #multi
Adaptive Multiple-Resolution Stream Clustering (MH, PS, TS), pp. 134–148.
MLDMMLDM-2014-JayabalR #modelling #performance #student
Clustering Students Based on Student’s Performance — A Partial Least Squares Path Modeling (PLS-PM) Study (YJ, CR), pp. 393–407.
MLDMMLDM-2014-Manzanilla-SalazarEG #classification #fault
Minimizing Cluster Errors in LP-Based Nonlinear Classification (OMS, JEK, UMGP), pp. 163–174.
RecSysRecSys-2014-PetroniQ #distributed #graph #matrix #named #probability
GASGD: stochastic gradient descent for distributed asynchronous matrix completion via graph partitioning (FP, LQ), pp. 241–248.
SEKESEKE-2014-BarnesL #analysis
Text-Based Clustering and Analysis of Intelligent Argumentation Data (ECB, XFL), pp. 422–425.
SEKESEKE-2014-SalmanSD #feature model #information retrieval
Feature Location in a Collection of Product Variants: Combining Information Retrieval and Hierarchical Clustering (HES, AS, CD), pp. 426–430.
SIGIRSIGIR-2014-AmigoGM #effectiveness #metric #retrieval
A general account of effectiveness metrics for information tasks: retrieval, filtering, and clustering (EA, JG, SM), p. 1289.
SIGIRSIGIR-2014-MorenoDC #query #web
Query log driven web search results clustering (JGM, GD, GC), pp. 777–786.
SIGIRSIGIR-2014-RaiberK14a #correlation #effectiveness #retrieval #testing
The correlation between cluster hypothesis tests and the effectiveness of cluster-based retrieval (FR, OK), pp. 1155–1158.
SIGIRSIGIR-2014-RoitmanHS #approach
A fusion approach to cluster labeling (HR, SH, MSS), pp. 883–886.
SIGIRSIGIR-2014-Sebastian #predict #semantics #using
Cluster links prediction for literature based discovery using latent structure and semantic features (YS), p. 1275.
AMTAMT-2014-RentschlerWNHR #automation #legacy #model transformation
Remodularizing Legacy Model Transformations with Automatic Clustering Techniques (AR, DW, QN, LH, RR), pp. 4–13.
SACSAC-2014-AhmedWK #energy #named #performance
EENC — energy efficient nested clustering in UASN (SHA, AW, DK), pp. 706–710.
SACSAC-2014-BaeCPJKC #effectiveness #memory management
An effective data clustering method based on expected update time in flash memory environment (DHB, JWC, SMP, BSJ, SWK, SjC), pp. 1492–1497.
SACSAC-2014-BertoutFO #automation #heuristic #realtime #set
A heuristic to minimize the cardinality of a real-time task set by automated task clustering (AB, JF, RO), pp. 1431–1436.
SACSAC-2014-ChangHL #adaptation #optimisation #using
Optimizing FTL mapping cache for random-write workloads using adaptive block partitioning (LPC, SMH, WPL), pp. 1504–1510.
SACSAC-2014-HuangYKYLYGFQ #analysis #self
Diffusion-based clustering analysis of coherent X-ray scattering patterns of self-assembled nanoparticles (HH, SY, KK, KGY, FL, DY, OG, AF, HQ), pp. 85–90.
SACSAC-2014-LeePKH
Per-cluster allocation of relocation staff on electric vehicle sharing systems (JL, GLP, JK, NH), pp. 1541–1542.
SACSAC-2014-LiW #matrix #multi
Single multiplicatively updated matrix factorization for co-clustering (ZL, XW), pp. 97–104.
SACSAC-2014-SahuR #runtime
Creating heterogeneity at run time by dynamic cache and bandwidth partitioning schemes (AS, SR), pp. 872–879.
SACSAC-2014-SeelandKK #graph
Structural clustering of millions of molecular graphs (MS, AK, SK), pp. 121–128.
SACSAC-2014-TinK #distributed #performance
Method for fast clustering of data distributed on a sphere surface (TT, SRK), pp. 1735–1736.
SACSAC-2014-XavierOPR #database #in the cloud #platform #towards
Towards better manageability of database clusters on cloud computing platforms (MGX, ICDO, RDDP, CAFDR), pp. 366–367.
ASPLOSASPLOS-2014-DelimitrouK #named
Quasar: resource-efficient and QoS-aware cluster management (CD, CK), pp. 127–144.
CASECASE-2014-YangWQZ #multi #scheduling #tool support
Optimal scheduling of single-arm multi-cluster tools with two-space buffering modules (FY, NW, YQ, MZ), pp. 75–80.
CASECASE-2014-YanLBSDG #energy
Energy-efficient building clusters (BY, PBL, MAB, CS, CD, ZG), pp. 966–971.
CASECASE-2014-ZhuWQZ #analysis #constraints #modelling #multi #petri net #scheduling #tool support
Modeling and schedulability analysis of single-arm multi-cluster tools with residency time constraints via Petri nets (QZ, NW, YQ, MZ), pp. 81–86.
DACDAC-2014-CongLXZ #architecture #reuse
An Optimal Microarchitecture for Stencil Computation Acceleration Based on Non-Uniform Partitioning of Data Reuse Buffers (JC, PL, BX, PZ), p. 6.
DACDAC-2014-KozhikkottuPPDR #parallel #source code #thread
Variation Aware Cache Partitioning for Multithreaded Programs (VJK, AP, VSP, SD, AR), p. 6.
DACDAC-2014-LiangC #analysis #named #network #probability #reduction #scalability #smarttech
ClusRed: Clustering and Network Reduction Based Probabilistic Optimal Power Flow Analysis for Large-Scale Smart Grids (YL, DC), p. 6.
DATEDATE-2014-AguileraLFMSK #algorithm #multi #process
Process variation-aware workload partitioning algorithms for GPUs supporting spatial-multitasking (PA, JL, AFF, KM, MJS, NSK), pp. 1–6.
DATEDATE-2014-BurgioDMCB #hardware #programmable #scalability
A tightly-coupled hardware controller to improve scalability and programmability of shared-memory heterogeneous clusters (PB, RD, AM, PC, LB), pp. 1–4.
DATEDATE-2014-BurgioTCMB #embedded #hardware #memory management #parallel
Tightly-coupled hardware support to dynamic parallelism acceleration in embedded shared memory clusters (PB, GT, FC, AM, LB), pp. 1–6.
DATEDATE-2014-PapadimitriouHBML #fault #injection #modelling #multi #towards
A multiple fault injection methodology based on cone partitioning towards RTL modeling of laser attacks (AP, DH, VB, PM, RL), pp. 1–4.
DATEDATE-2014-ZhangWSX
Lifetime holes aware register allocation for clustered VLIW processors (XZ, HW, HS, JX), pp. 1–4.
HPCAHPCA-2014-0001A #energy
Implications of high energy proportional servers on cluster-wide energy proportionality (DW, MA), pp. 142–153.
HPCAHPCA-2014-HeirmanCCHJE #architecture #thread
Undersubscribed threading on clustered cache architectures (WH, TEC, KVC, IH, AJ, LE), pp. 678–689.
HPCAHPCA-2014-KhanAWMJ #performance #using
Improving cache performance using read-write partitioning (SMK, ARA, CW, OM, DAJ), pp. 452–463.
HPCAHPCA-2014-PhamBEL
Increasing TLB reach by exploiting clustering in page translations (BP, AB, YE, GHL), pp. 558–567.
HPCAHPCA-2014-XieTHC #memory management #throughput
Improving system throughput and fairness simultaneously in shared memory CMP systems via Dynamic Bank Partitioning (MX, DT, KH, XC), pp. 344–355.
HPDCHPDC-2014-ChenWDZXJS #scheduling
Communication-driven scheduling for virtual clusters in cloud (HC, SW, SD, BBZ, ZX, HJ, XS), pp. 125–128.
HPDCHPDC-2014-El-HelwHB #manycore #named #pipes and filters
Glasswing: accelerating mapreduce on multi-core and many-core clusters (IEH, RFHH, HEB), pp. 295–298.
LCTESLCTES-2014-ChandramohanO #design #energy #source code
Partitioning data-parallel programs for heterogeneous MPSoCs: time and energy design space exploration (KC, MFPO), pp. 73–82.
LCTESLCTES-2014-MartinsNDMC #compilation #optimisation #sequence #using
Exploration of compiler optimization sequences using clustering-based selection (LGAM, RN, ACBD, EM, JMPC), pp. 63–72.
OSDIOSDI-2014-VenkataramanPAFS #power of #scheduling
The Power of Choice in Data-Aware Cluster Scheduling (SV, AP, GA, MJF, IS), pp. 301–316.
PDPPDP-2014-DangSHH
Parallelized Clustering of Protein Structures on CUDA-Enabled GPUs (HVD, BS, AH, AKH), pp. 1–8.
PDPPDP-2014-GrandjeanU #2d #difference #distributed #finite #memory management #on the #parallel
On Partitioning Two Dimensional Finite Difference Meshes for Distributed Memory Parallel Computers (AG, BU), pp. 9–16.
PDPPDP-2014-SmithWWA #approach #distributed
A Cluster-Based Approach to Consensus Based Distributed Task Allocation (DS, JW, SRW, AAA), pp. 428–431.
PDPPDP-2014-XavierNR #comparison #performance #pipes and filters
A Performance Comparison of Container-Based Virtualization Systems for MapReduce Clusters (MGX, MVN, CAFDR), pp. 299–306.
PDPPDP-2014-ZlydarevaMMOO #network
Event-Oriented Focal Weight-Based Clustering for Environmental Wireless Sensor Networks (OZ, BFM, WGM, JJO, GMPO), pp. 170–173.
PPoPPPPoPP-2014-RodriguesJDH #algorithm #interface #named #programming
Triolet: a programming system that unifies algorithmic skeleton interfaces for high-performance cluster computing (CIR, TBJ, AD, WmWH), pp. 247–258.
STOCSTOC-2014-KrishnaswamyNPS #approximate #design #energy #network #performance
Cluster before you hallucinate: approximating node-capacitated network design and energy efficient routing (RK, VN, KP, CS), pp. 734–743.
ISSTAISSTA-2014-JustEF #analysis #execution #mutation testing #performance
Efficient mutation analysis by propagating and partitioning infected execution states (RJ, MDE, GF), pp. 315–326.
DocEngDocEng-2013-CarelCBO #documentation #image #segmentation
Dominant color segmentation of administrative document images by hierarchical clustering (EC, VC, JCB, JMO), pp. 115–118.
DocEngDocEng-2013-MarcaciniR #incremental
Incremental hierarchical text clustering with privileged information (RMM, SOR), pp. 231–232.
DocEngDocEng-2013-NourashrafeddinMA #documentation #interactive #using
Interactive text document clustering using feature labeling (SN, EEM, DVA), pp. 61–70.
DocEngDocEng-2013-YelogluMZ #concept #documentation #wiki
Beyond term clusters: assigning Wikipedia concepts to scientific documents (OY, EEM, ANZH), pp. 233–234.
DRRDRR-2013-AriesON #algorithm #automation #classification #summary #using
Using clustering and a modified classification algorithm for automatic text summarization (AA, HO, ON).
ICDARICDAR-2013-GarzFBI #approach
A Binarization-Free Clustering Approach to Segment Curved Text Lines in Historical Manuscripts (AG, AF, HB, RI), pp. 1290–1294.
ICDARICDAR-2013-TatawRK #using
Clustering of Symbols Using Minimal Description Length (OMT, TR, EJK), pp. 180–184.
ICDARICDAR-2013-WalhaDLGA #image #multi
Multiple Learned Dictionaries Based Clustered Sparse Coding for the Super-Resolution of Single Text Image (RW, FD, FL, CG, AMA), pp. 484–488.
JCDLJCDL-2013-GongKZB #behaviour #case study #effectiveness #interactive #retrieval
Interactive search result clustering: a study of user behavior and retrieval effectiveness (XG, WK, YZ, RB), pp. 167–170.
JCDLJCDL-2013-Ke #documentation
Information-theoretic term weighting schemes for document clustering (WK), pp. 143–152.
JCDLJCDL-2013-Organisciak #corpus
Addressing diverse corpora with cluster-based term weighting (PO), pp. 163–166.
SIGMODSIGMOD-2013-NobariTHKBA #in memory #named
TOUCH: in-memory spatial join by hierarchical data-oriented partitioning (SN, FT, TH, PK, SB, AA), pp. 701–712.
SIGMODSIGMOD-2013-SchaffnerJKKPFJ #database #in memory #named #robust
RTP: robust tenant placement for elastic in-memory database clusters (JS, TJ, MK, TK, HP, MJF, DJ), pp. 773–784.
VLDBVLDB-2013-AbbasogluGF
Aggregate Profile Clustering for Telco Analytics (MAA, BG, HF), pp. 1234–1237.
VLDBVLDB-2013-EftekharK #data flow #ranking
Partitioning and Ranking Tagged Data Sources (ME, NK), pp. 229–240.
VLDBVLDB-2013-HuaiMLO0 #comprehension
Understanding Insights into the Basic Structure and Essential Issues of Table Placement Methods in Clusters (YH, SM, RL, OO, XZ), pp. 1750–1761.
VLDBVLDB-2013-LeeL #graph #query #rdf #scalability #semantics
Scaling Queries over Big RDF Graphs with Semantic Hash Partitioning (KL, LL), pp. 1894–1905.
VLDBVLDB-2013-LiKHYYS #memory management #performance #string
Memory Efficient Minimum Substring Partitioning (YL, PK, FH, SY, XY, SS), pp. 169–180.
VLDBVLDB-2013-RekatsinasDM #multi
A SPARSI: Partitioning Sensitive Data amongst Multiple Adversaries (TR, AD, AM), pp. 1594–1605.
VLDBVLDB-2014-CaoR13 #performance #query
High Performance Stream Query Processing With Correlation-Aware Partitioning (LC, EAR), pp. 265–276.
ITiCSEITiCSE-2013-Malan
From cluster to cloud to appliance (DJM), pp. 88–92.
CSMRCSMR-2013-CsabaSBJHG #metric #quality
Relating Clusterization Measures and Software Quality (BC, LS, ÁB, JJ, PH, TG), pp. 345–348.
ICPCICPC-2013-MahmoudN #algorithm #comprehension
Evaluating software clustering algorithms in the context of program comprehension (AM, NN), pp. 162–171.
SCAMSCAM-2013-AnnervazKMSTM
Code clustering workbench (KMA, VSK, JM, SS, GT, AM), pp. 31–36.
SCAMSCAM-2013-BeszedesSCGJG #dependence #empirical
Empirical investigation of SEA-based dependence cluster properties (ÁB, LS, BC, TG, JJ, TG), pp. 1–10.
SCAMSCAM-2013-MuskeBS #overview #reduction #static analysis
Review efforts reduction by partitioning of static analysis warnings (TBM, AB, TS), pp. 106–115.
WCREWCRE-2013-FryW #fault #maintenance #static analysis
Clustering static analysis defect reports to reduce maintenance costs (ZPF, WW), pp. 282–291.
CIAACIAA-J-2012-Berlinkov13 #automaton
Synchronizing quasi-Eulerian and quasi-One-Cluster Automata (MVB), pp. 729–746.
ICALPICALP-v1-2013-AumullerD
Optimal Partitioning for Dual Pivot Quicksort — (MA, MD), pp. 33–44.
ICALPICALP-v1-2013-DinurG
Clustering in the Boolean Hypercube in a List Decoding Regime (ID, EG), pp. 413–424.
FDGFDG-2013-DrachenTSB #behaviour #comparison
A comparison of methods for player clustering via behavioral telemetry (AD, CT, RS, CB), pp. 245–252.
HCIDHM-HB-2013-WangH13a #re-engineering
Model Reconstruction of Human Buttocks and the Shape Clustering (LW, XH), pp. 245–251.
HCIHCI-III-2013-YangWC #fuzzy #image #kernel #segmentation #similarity
Kernel Fuzzy Similarity Measure-Based Spectral Clustering for Image Segmentation (YY, YW, YmC), pp. 246–253.
ICEISICEIS-v1-2013-IsmailHQDE #evaluation #query #simulation #using
Clustering using Hypergraph for P2P Query Routing — Simulation and Evaluation (AI, MH, MQ, ND, MES), pp. 247–254.
CIKMCIKM-2013-Caruana #approximate #named #question
Clustering: probably approximately useless? (RC), pp. 1259–1260.
CIKMCIKM-2013-GilpinQD #dataset #performance #scalability
Efficient hierarchical clustering of large high dimensional datasets (SG, BQ, ID), pp. 1371–1380.
CIKMCIKM-2013-HachenbergG #classification #documentation #locality #scalability #web
Locality sensitive hashing for scalable structural classification and clustering of web documents (CH, TG), pp. 359–368.
CIKMCIKM-2013-LiHZW #mining
Mining entity attribute synonyms via compact clustering (YL, BJPH, CZ, KW), pp. 867–872.
CIKMCIKM-2013-MackoMS #graph
Local clustering in provenance graphs (PM, DWM, MIS), pp. 835–840.
CIKMCIKM-2013-QiuYJ #interactive #modelling
Modeling interaction features for debate side clustering (MQ, LY, JJ), pp. 873–878.
CIKMCIKM-2013-SchneiderV #performance #random
Fast parameterless density-based clustering via random projections (JS, MV), pp. 861–866.
CIKMCIKM-2013-YuanWJL #graph #performance #streaming
Efficient processing of streaming graphs for evolution-aware clustering (MY, KLW, GJS, YL), pp. 319–328.
ECIRECIR-2013-MirkinS
Least Square Consensus Clustering: Criteria, Methods, Experiments (BGM, AS), pp. 764–767.
ECIRECIR-2013-MorenoD #image #interface #mobile #using #web
Using Text-Based Web Image Search Results Clustering to Minimize Mobile Devices Wasted Space-Interface (JGM, GD), pp. 532–544.
ICMLICML-c1-2013-BuhlerRSH #community #detection #set #source code
Constrained fractional set programs and their application in local clustering and community detection (TB, SSR, SS, MH), pp. 624–632.
ICMLICML-c1-2013-WangX
Noisy Sparse Subspace Clustering (YXW, HX), pp. 89–97.
ICMLICML-c2-2013-HanczarN
Precision-recall space to correct external indices for biclustering (BH, MN), pp. 136–144.
ICMLICML-c2-2013-Rebagliati #fault #normalisation #strict
Strict Monotonicity of Sum of Squares Error and Normalized Cut in the Lattice of Clusterings (NR), pp. 163–171.
ICMLICML-c2-2013-WestonMY #ranking #sublinear
Label Partitioning For Sublinear Ranking (JW, AM, HY), pp. 181–189.
ICMLICML-c2-2013-WulffUB
Monochromatic Bi-Clustering (SW, RU, SBD), pp. 145–153.
ICMLICML-c3-2013-AilonCX #graph
Breaking the Small Cluster Barrier of Graph Clustering (NA, YC, HX), pp. 995–1003.
ICMLICML-c3-2013-WangNH13a #learning #multi
Multi-View Clustering and Feature Learning via Structured Sparsity (HW, FN, HH), pp. 352–360.
ICMLICML-c3-2013-YiZJQJ #matrix #similarity
Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion (JY, LZ, RJ, QQ, AKJ), pp. 1400–1408.
ICMLICML-c3-2013-ZhuLM #algorithm
A Local Algorithm for Finding Well-Connected Clusters (ZAZ, SL, VSM), pp. 396–404.
KDDKDD-2013-ChengZGWSW #flexibility #graph #multi #robust
Flexible and robust co-regularized multi-domain graph clustering (WC, XZ, ZG, YW, PFS, WW), pp. 320–328.
KDDKDD-2013-ChenLYSY #optimisation #query
Query clustering based on bid landscape for sponsored search auction optimization (YC, WL, JY, AS, TWY), pp. 1150–1158.
KDDKDD-2013-KuangP #documentation #matrix #performance
Fast rank-2 nonnegative matrix factorization for hierarchical document clustering (DK, HP), pp. 739–747.
KDDKDD-2013-NishimuraU #algorithm #graph
Restreaming graph partitioning: simple versatile algorithms for advanced balancing (JN, JU), pp. 1106–1114.
KDDKDD-2013-RaederPDSP #reduction #scalability #using
Scalable supervised dimensionality reduction using clustering (TR, CP, BD, OS, FJP), pp. 1213–1221.
KDDKDD-2013-UganderKBK #graph #multi #network
Graph cluster randomization: network exposure to multiple universes (JU, BK, LB, JMK), pp. 329–337.
KDDKDD-2013-WangDYWCSI #data mining #framework #identification #mining #towards
Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification (DW, WD, KY, XW, PC, DLS, SI), pp. 1285–1293.
KDDKDD-2013-ZhouL #network #social
Social influence based clustering of heterogeneous information networks (YZ, LL), pp. 338–346.
KDIRKDIR-KMIS-2013-CunhaFM #documentation #integration
Clustering and Classifying Text Documents — A Revisit to Tagging Integration Methods (EC, ÁF, ÓM), pp. 160–168.
KDIRKDIR-KMIS-2013-DuarteFD #constraints #using #validation
Data Clustering Validation using Constraints (JMMD, ALNF, FJFD), pp. 17–27.
KDIRKDIR-KMIS-2013-KolerovaOB #case study #industrial
Information and Knowledge Sharing in Industrial Clusters — Theoretical Background and a Case Study (KK, TO, VB), pp. 457–463.
KDIRKDIR-KMIS-2013-NcirE #on the #question
On the Extension of k-Means for Overlapping Clustering — Average or Sum of Clusters’ Representatives? (CEBN, NE), pp. 208–213.
KDIRKDIR-KMIS-2013-VensVB
Semi-supervised Clustering with Example Clusters (CV, BV, HB), pp. 45–51.
MLDMMLDM-2013-ParraL #dataset #using
Unsupervised Tagging of Spanish Lyrics Dataset Using Clustering (FLP, EL), pp. 130–143.
MLDMMLDM-2013-SappP #classification #predict
Accuracy-Based Classification EM: Combining Clustering with Prediction (SS, AP), pp. 458–465.
RecSysRecSys-2013-MirbakhshL #collaboration
Clustering-based factorized collaborative filtering (NM, CXL), pp. 315–318.
SIGIRSIGIR-2013-CenDSO #adaptation #ambiguity
Author disambiguation by hierarchical agglomerative clustering with adaptive stopping criterion (LC, ECD, LS, MO), pp. 741–744.
SIGIRSIGIR-2013-Kurland #information retrieval
The cluster hypothesis in information retrieval (OK), p. 1126.
SIGIRSIGIR-2013-RaiberK #documentation #markov #random #ranking #using
Ranking document clusters using markov random fields (FR, OK), pp. 333–342.
SIGIRSIGIR-2013-RavivKC
The cluster hypothesis for entity oriented search (HR, OK, DC), pp. 841–844.
OOPSLAOOPSLA-2013-TreichlerBA
Language support for dynamic, hierarchical data partitioning (ST, MB, AA), pp. 495–514.
REFSQREFSQ-2013-FerrariGT #documentation #natural language #requirements #using
Using Clustering to Improve the Structure of Natural Language Requirements Documents (AF, SG, GT), pp. 34–49.
ASEASE-2013-RosnerSAKF #alloy #analysis #modelling #named #parallel
Ranger: Parallel analysis of alloy models by range partitioning (NR, JHS, NA, SK, MFF), pp. 147–157.
ASEASE-2013-ScannielloGMM #fault #predict #using
Class level fault prediction using software clustering (GS, CG, AM, TM), pp. 640–645.
ESEC-FSEESEC-FSE-2013-SilicDS #predict #reliability #web #web service
Prediction of atomic web services reliability based on k-means clustering (MS, GD, SS), pp. 70–80.
SACSAC-2013-BellatrecheBCM #algorithm #incremental #query
Horizontal partitioning of very-large data warehouses under dynamically-changing query workloads via incremental algorithms (LB, RB, AC, SM), pp. 208–210.
SACSAC-2013-DietrichRP #detection #visual notation
Exploiting visual appearance to cluster and detect rogue software (CJD, CR, NP), pp. 1776–1783.
SACSAC-2013-KangCLLKN
Onion and pizza: new disk partitioning schemes for virtualization systems (DK, JC, NL, DL, SK, SHN), pp. 1616–1621.
SACSAC-2013-KhaniHAB #algorithm #semistructured data #set
An algorithm for discovering clusters of different densities or shapes in noisy data sets (FK, MJH, AAA, HB), pp. 144–149.
SACSAC-2013-MottaLNRJO #algorithm #relational
Comparing relational and non-relational algorithms for clustering propositional data (RM, AdAL, BMN, SOR, AMJ, MCFdO), pp. 150–155.
SACSAC-2013-Serafino #composition #graph
Speeding up graph clustering via modular decomposition based compression (PS), pp. 156–163.
SACSAC-2013-SouzaRB #data access #metric #performance
Faster construction of ball-partitioning-based metric access methods (JAdS, HLR, MCNB), pp. 8–12.
SACSAC-2013-SrivastavaSM #graph #using
Text clustering using one-mode projection of document-word bipartite graphs (AS, AJS, EEM), pp. 927–932.
CASECASE-2013-DanishvarMSA #modelling #realtime
Event-clustering for real-time data modeling (MD, AM, PAMdS, RA), pp. 362–367.
CASECASE-2013-JinM #algorithm #constraints #scheduling #tool support
Transient scheduling of single armed cluster tools: Algorithms for wafer residency constraints (HYJ, JRM), pp. 856–861.
CASECASE-2013-KimLK #scheduling #tool support
Optimal scheduling of transient cycles for single-armed cluster tools (DKK, TEL, HJK), pp. 874–879.
CASECASE-2013-QiaoWZ #scheduling #tool support
Scheduling of time constrained dual-arm cluster tools with wafer revisiting (YQ, NW, MZ), pp. 868–873.
CASECASE-2013-ZhuWQZ #modelling #multi #petri net #scheduling #tool support
Petri net modeling and one-wafer scheduling of single-arm multi-cluster tools (QZ, NW, YQ, MZ), pp. 862–867.
DACDAC-2013-AgrawalRHSPC #architecture #framework #multi #platform
Early exploration for platform architecture instantiation with multi-mode application partitioning (PA, PR, MH, NS, LVdP, FC), p. 8.
DACDAC-2013-OnizawaG #network #power management #scalability
Low-power area-efficient large-scale IP lookup engine based on binary-weighted clustered networks (NO, WJG), p. 6.
DACDAC-2013-WangLZZC #array #memory management #multi #synthesis
Memory partitioning for multidimensional arrays in high-level synthesis (YW, PL, PZ, CZ, JC), p. 8.
DACDAC-2013-ZhangLSSR #automation
Automatic clustering of wafer spatial signatures (WZ, XL, SS, AJS, RAR), p. 6.
DATEDATE-2013-BurgioTMB #fine-grained #memory management
Enabling fine-grained OpenMP tasking on tightly-coupled shared memory clusters (PB, GT, AM, LB), pp. 1504–1509.
DATEDATE-2013-GiraoSW #policy
Exploring resource mapping policies for dynamic clustering on NoC-based MPSoCs (GG, TS, FRW), pp. 681–684.
DATEDATE-2013-LiuLHCLL #effectiveness #linear #network #programming #prototype #statistics
Effective power network prototyping via statistical-based clustering and sequential linear programming (SYSL, CJL, CCH, HMC, CTL, CHL), pp. 1701–1706.
DATEDATE-2013-RahimiMBGB
Variation-tolerant OpenMP tasking on tightly-coupled processor clusters (AR, AM, PB, RKG, LB), pp. 541–546.
DATEDATE-2013-TodorovMRS #approach #synthesis
A spectral clustering approach to application-specific network-on-chip synthesis (VT, DMG, HR, US), pp. 1783–1788.
HPDCHPDC-2013-BuRX #pipes and filters #scheduling
Interference and locality-aware task scheduling for MapReduce applications in virtual clusters (XB, JR, CZX), pp. 227–238.
HPDCHPDC-2013-ClaySM #interactive #scalability
Building and scaling virtual clusters with residual resources from interactive clouds (RBC, ZS, XM), pp. 119–120.
HPDCHPDC-2013-CostaDOR #3d #named #network #stack
CamCubeOS: a key-based network stack for 3D torus cluster topologies (PC, AD, GO, AITR), pp. 73–84.
HPDCHPDC-2013-SajjapongseWB #multi #runtime
A preemption-based runtime to efficiently schedule multi-process applications on heterogeneous clusters with GPUs (KS, XW, MB), pp. 179–190.
HPDCHPDC-2013-ZhangODJ #framework #implementation #manycore #named
Orthrus: a framework for implementing high-performance collective I/O in the multicore clusters (XZ, JO, KD, SJ), pp. 113–114.
LCTESLCTES-2013-MehiaouiWPMNZBLG #distributed #optimisation
A two-step optimization technique for functions placement, partitioning, and priority assignment in distributed systems (AM, EW, STP, CM, MDN, HZ, JPB, LL, SG), pp. 121–132.
LCTESLCTES-2013-PorpodasC #adaptation #named #scheduling
LUCAS: latency-adaptive unified cluster assignment and instruction scheduling (VP, MC), pp. 45–54.
PDPPDP-2013-BachCMK #data analysis #grid #multi #power management
Power Grid Time Series Data Analysis with Pig on a Hadoop Cluster Compared to Multi Core Systems (FB, HKÇ, HM, UGK), pp. 208–212.
PDPPDP-2013-BahrebarFHDMS #communication #manycore
Making Communication a First-Class Citizen in Multicore Partitioning (PB, RMF, WH, LD, AM, DS), pp. 287–293.
PDPPDP-2013-TemboNB #adaptation #distributed #problem #protocol #self #simulation
Distributed Iterative Solution of Numerical Simulation Problems on Infiniband and Ethernet Clusters via the P2PSAP Self-Adaptive Protocol (SRT, TTN, DEB), pp. 121–125.
PPoPPPPoPP-2013-GrassoKCF #automation #parallel #problem
Automatic problem size sensitive task partitioning on heterogeneous parallel systems (IG, KK, BC, TF), pp. 281–282.
STOCSTOC-2013-BuchbinderNS #exponential #multi #problem
Simplex partitioning via exponential clocks and the multiway cut problem (NB, JN, RS), pp. 535–544.
STOCSTOC-2013-KwokLLGT #algorithm #analysis #difference #higher-order
Improved Cheeger’s inequality: analysis of spectral partitioning algorithms through higher order spectral gap (TCK, LCL, YTL, SOG, LT), pp. 11–20.
ICSTICST-2013-ArafeenD #testing #using
Test Case Prioritization Using Requirements-Based Clustering (MJA, HD), pp. 312–321.
ICSTSAT-2013-MartinsML #satisfiability
Community-Based Partitioning for MaxSAT Solving (RM, VMM, IL), pp. 182–191.
DocEngDocEng-2012-HuMBL #documentation #personalisation
Personalized document clustering with dual supervision (YH, EEM, JB, SL), pp. 161–170.
DRRDRR-2012-ChandaFP #documentation #using
Clustering document fragments using background color and texture information (SC, KF, UP).
HTHT-2012-CravinoDF #community #network #using
Using the overlapping community structure of a network of tags to improve text clustering (NC, JLD, ÁF), pp. 239–244.
PODSPODS-2012-XuT #on the
On the optimality of clustering properties of space filling curves (PX, ST), pp. 215–224.
SIGMODSIGMOD-2012-IoriSPWH #monitoring #named
CloudAlloc: a monitoring and reservation system for compute clusters (EI, AS, TP, KW, SH), pp. 721–724.
SIGMODSIGMOD-2012-KimPSLDC #distributed #named #performance #ram #scalability
CloudRAMSort: fast and efficient large-scale distributed RAM sort on shared-nothing cluster (CK, JP, NS, HL, PD, JC), pp. 841–850.
SIGMODSIGMOD-2012-PavloCZ #automation #database #parallel
Skew-aware automatic database partitioning in shared-nothing, parallel OLTP systems (AP, CC, SBZ), pp. 61–72.
SIGMODSIGMOD-2012-XuKWCC #approach #graph #modelling
A model-based approach to attributed graph clustering (ZX, YK, YW, HC, JC), pp. 505–516.
SIGMODSIGMOD-2012-ZhouBL #distributed
Advanced partitioning techniques for massively distributed computation (JZ, NB, WL), pp. 13–24.
TPDLTPDL-2012-HallCS #automation #library #using
Evaluating the Use of Clustering for Automatically Organising Digital Library Collections (MMH, PDC, MS), pp. 323–334.
VLDBVLDB-2012-AgarwalRB #graph #identification #realtime
Real Time Discovery of Dense Clusters in Highly Dynamic Graphs: Identifying Real World Events in Highly Dynamic Environments (MKA, KR, MB), pp. 980–991.
VLDBVLDB-2012-CheungAMM #automation #database
Automatic Partitioning of Database Applications (AC, OA, SM, ACM), pp. 1471–1482.
VLDBVLDB-2012-GulloT #nondeterminism
Uncertain Centroid based Partitional Clustering of Uncertain Data (FG, AT), pp. 610–621.
VLDBVLDB-2012-LangHPST #database #design #energy #towards
Towards Energy-Efficient Database Cluster Design (WL, SH, JMP, MAS, DT), pp. 1684–1695.
VLDBVLDB-2012-NguyenHZW
Boosting Moving Object Indexing through Velocity Partitioning (TN, ZH, RZ, PW), pp. 860–871.
VLDBVLDB-2012-Sahin #challenge #self
Challenges in Economic Massive Content Storage and Management (MCSAM) in the Era of Self-Organizing, Self-Expanding and Self-Linking Data Clusters (KES), p. 1698.
VLDBVLDB-2012-SunAH #network
Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes (YS, CCA, JH), pp. 394–405.
VLDBVLDB-2012-XuLGC #analysis #big data #in the cloud #interactive #named #visual notation
CloudVista: Interactive and Economical Visual Cluster Analysis for Big Data in the Cloud (HX, ZL, SG, KC), pp. 1886–1889.
ITiCSEITiCSE-2012-Radenski #data-driven #in the cloud #multi
Integrating data-intensive cloud computing with multicores and clusters in an HPC course (AR), pp. 69–74.
SIGITESIGITE-2012-AhmadzadehM #algorithm #education #programming #research #using
A feasibility study on using clustering algorithms in programming education research (MA, EM), pp. 145–150.
CSMRCSMR-2012-BeszedesSG #development #framework #platform #quality
Development of a Unified Software Quality Platform in the Szeged InfoPólus Cluster (ÁB, LS, TG), pp. 495–498.
ICSMEICSM-2012-KobayashiKKYM #composition #dependence #using
Feature-gathering dependency-based software clustering using Dedication and Modularity (KK, MK, KK, KY, AM), pp. 462–471.
SCAMSCAM-2012-SchrettnerJGBG #dependence #impact analysis #using
Impact Analysis in the Presence of Dependence Clusters Using Static Execute after in WebKit (LS, JJ, TG, ÁB, TG), pp. 24–33.
WCREWCRE-2012-MisraAKST #semantics
Software Clustering: Unifying Syntactic and Semantic Features (JM, KMA, VSK, SS, GT), pp. 113–122.
ICALPICALP-v1-2012-BalcanL
Clustering under Perturbation Resilience (MFB, YL), pp. 63–74.
ICALPICALP-v2-2012-GugelmannPP #graph #random #sequence
Random Hyperbolic Graphs: Degree Sequence and Clustering — (LG, KP, UP), pp. 573–585.
CoGCIG-2012-DrachenSBT #behaviour #game studies
Guns, swords and data: Clustering of player behavior in computer games in the wild (AD, RS, CB, CT), pp. 163–170.
CoGVS-Games-2012-AsteriadisKSY #behaviour #detection #towards #using #visual notation
Towards Detecting Clusters of Players using Visual and Gameplay Behavioral Cues (SA, KK, NS, GNY), pp. 140–147.
GRAPHITEGRAPHITE-2012-EdelkampKT #named
Lex-Partitioning: A New Option for BDD Search (SE, PK, ÁT), pp. 66–82.
CAiSECAiSE-2012-BinderDDDFGGHHRRW #case study #experience #on the #process
On Analyzing Process Compliance in Skin Cancer Treatment: An Experience Report from the Evidence-Based Medical Compliance Cluster (EBMC2) (MB, WD, GD, RD, KAF, WG, WG, KH, MH, SRM, CR, SW), pp. 398–413.
ICEISICEIS-v1-2012-CarvalhoBSR
Labeling Methods for Association Rule Clustering (VOdC, DSB, FFdS, SOR), pp. 105–111.
CIKMCIKM-2012-BodenGS #evolution #graph
Tracing clusters in evolving graphs with node attributes (BB, SG, TS), pp. 2331–2334.
CIKMCIKM-2012-ChengZPW
Hierarchical co-clustering based on entropy splitting (WC, XZ, FP, WW), pp. 1472–1476.
CIKMCIKM-2012-ChiangWD #network #normalisation #scalability #using
Scalable clustering of signed networks using balance normalized cut (KYC, JJW, ISD), pp. 615–624.
CIKMCIKM-2012-FanZCCO
Maximum margin clustering on evolutionary data (XF, LZ, LC, XC, YSO), pp. 625–634.
CIKMCIKM-2012-GaoZLH #recommendation #twitter
Twitter hyperlink recommendation with user-tweet-hyperlink three-way clustering (DG, RZ, WL, YH), pp. 2535–2538.
CIKMCIKM-2012-KurlandRS #predict #ranking
Query-performance prediction and cluster ranking: two sides of the same coin (OK, FR, AS), pp. 2459–2462.
CIKMCIKM-2012-LiBCH #learning #relational
Relational co-clustering via manifold ensemble learning (PL, JB, CC, ZH), pp. 1687–1691.
CIKMCIKM-2012-NguyenNMF #wiki
Clustering Wikipedia infoboxes to discover their types (THN, HDN, VM, JF), pp. 2134–2138.
CIKMCIKM-2012-RaiberK #retrieval #web
Exploring the cluster hypothesis, and cluster-based retrieval, over the web (FR, OK), pp. 2507–2510.
CIKMCIKM-2012-SteinGH
Search result presentation based on faceted clustering (BS, TG, DH), pp. 1940–1944.
CIKMCIKM-2012-SuhGCK #multi
A new tool for multi-level partitioning in teradata (YKS, AG, AC, PK), pp. 2214–2218.
CIKMCIKM-2012-VlachosWS
Right-protected data publishing with hierarchical clustering preservation (MV, AW, JS), pp. 654–663.
CIKMCIKM-2012-WangQD #automation #documentation #using
Improving document clustering using automated machine translation (XW, BQ, ID), pp. 645–653.
CIKMCIKM-2012-YamamotoSIYWT #mining #query
The wisdom of advertisers: mining subgoals via query clustering (TY, TS, MI, CY, JRW, KT), pp. 505–514.
CIKMCIKM-2012-YanGLCW #matrix #using
Clustering short text using Ncut-weighted non-negative matrix factorization (XY, JG, SL, XC, YW), pp. 2259–2262.
ECIRECIR-2012-GalleR
Full and Mini-batch Clustering of News Articles with Star-EM (MG, JMR), pp. 494–498.
ECIRECIR-2012-ParaparB #constraints #modelling
Language Modelling of Constraints for Text Clustering (JP, AB), pp. 352–363.
ECIRECIR-2012-TholpadiDBS #corpus #multi #using
Cluster Labeling for Multilingual Scatter/Gather Using Comparable Corpora (GT, MKD, CB, SKS), pp. 388–400.
ICMLICML-2012-DavisCBPPC #predict #relational
Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events (JD, VSC, EB, DP, PLP, MC), p. 172.
ICMLICML-2012-HaiderS #graph #using
Finding Botnets Using Minimal Graph Clusterings (PH, TS), p. 37.
ICMLICML-2012-JalaliS12a #optimisation #using
Clustering using Max-norm Constrained Optimization (AJ, NS), p. 205.
ICMLICML-2012-KrishnamurthyBXS #algorithm #performance
Efficient Active Algorithms for Hierarchical Clustering (AK, SB, MX, AS), p. 39.
ICMLICML-2012-LiLJX #re-engineering
Groupwise Constrained Reconstruction for Subspace Clustering (RL, BL, CJ, XX), p. 25.
ICMLICML-2012-ReyR
Copula Mixture Model for Dependency-seeking Clustering (MR, VR), p. 40.
ICMLICML-2012-ShiS #adaptation #learning
Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation (YS, FS), p. 166.
ICMLICML-2012-TelgarskyD
Agglomerative Bregman Clustering (MT, SD), p. 132.
ICMLICML-2012-VaroquauxGT #correlation #design
Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering (GV, AG, BT), p. 178.
ICMLICML-2012-WangC12a
Clustering to Maximize the Ratio of Split to Diameter (JW, JC), p. 74.
ICMLICML-2012-WulsinJL #modelling #multi #process
A Hierarchical Dirichlet Process Model with Multiple Levels of Clustering for Human EEG Seizure Modeling (DW, SJ, BL), p. 67.
ICMLICML-2012-XiangMCCTZ #framework
A Split-Merge Framework for Comparing Clusterings (QX, QM, KMAC, HLC, IWT, ZZ), p. 164.
ICMLICML-2012-YangO #composition #matrix #probability #rank
Clustering by Low-Rank Doubly Stochastic Matrix Decomposition (ZY, EO), p. 94.
ICMLICML-2012-ZhongK #flexibility #learning #multi
Convex Multitask Learning with Flexible Task Clusters (WZ, JTYK), p. 66.
ICPRICPR-2012-AmornbunchornvejLAIT #algorithm
Iterative Neighbor-Joining tree clustering algorithm for genotypic data (CA, TL, AA, AI, ST), pp. 1827–1830.
ICPRICPR-2012-AyechZ #feature model #image #modelling #segmentation #statistics
Terahertz image segmentation based on K-harmonic-means clustering and statistical feature extraction modeling (MWA, DZ), pp. 222–225.
ICPRICPR-2012-BaiHHR #complexity #graph #using
Graph clustering using graph entropy complexity traces (LB, ERH, LH, PR), pp. 2881–2884.
ICPRICPR-2012-BakrYI #documentation #incremental #performance
Efficient incremental phrase-based document clustering (AMB, NAY, MAI), pp. 517–520.
ICPRICPR-2012-BenJY #analysis #automation #fuzzy
Automatic fuzzy clustering based on mistake analysis (SB, ZJ, JY), pp. 2914–2917.
ICPRICPR-2012-BoomHHF #dataset #image #using
Supporting ground-truth annotation of image datasets using clustering (BJB, PXH, JH, RBF), pp. 1542–1545.
ICPRICPR-2012-CaoCZL #query
Locating high-density clusters with noisy queries (CC, SC, CZ, JL), pp. 3537–3540.
ICPRICPR-2012-ChenWY #dataset #graph
Centroid-based clustering for graph datasets (LC, SW, XY), pp. 2144–2147.
ICPRICPR-2012-FausserS #dataset #kernel #scalability
Clustering large datasets with kernel methods (SF, FS), pp. 501–504.
ICPRICPR-2012-Gao12a #estimation #multi #using
Facial age estimation using Clustered Multi-task Support Vector Regression Machine (PXG), pp. 541–544.
ICPRICPR-2012-GiotCD
Local water diffusion phenomenon clustering from high angular resolution diffusion imaging (HARDI) (RG, CC, MD), pp. 3745–3749.
ICPRICPR-2012-HuangLC #feature model #kernel #multi #self
Cluster-dependent feature selection by multiple kernel self-organizing map (KCH, YYL, JZC), pp. 589–592.
ICPRICPR-2012-HuangLW #detection #incremental
Incremental support vector clustering with outlier detection (DH, JHL, CDW), pp. 2339–2342.
ICPRICPR-2012-HuynhL #crowdsourcing
Connecting the dots: Triadic clustering of crowdsourced data to map dirt roads (AH, AL), pp. 3766–3769.
ICPRICPR-2012-HuZFZ #multi #strict
Multi-way constrained spectral clustering by nonnegative restriction (HH, JZ, JF, JZ), pp. 1550–1553.
ICPRICPR-2012-JiangLLL #collaboration #multi
Collaborative PLSA for multi-view clustering (YJ, JL, ZL, HL), pp. 2997–3000.
ICPRICPR-2012-JiS #robust #segmentation
Robust motion segmentation via refined sparse subspace clustering (HJ, FS), pp. 1546–1549.
ICPRICPR-2012-KafaiBA #classification #estimation #network
Cluster-Classification Bayesian Networks for head pose estimation (MK, BB, LA), pp. 2869–2872.
ICPRICPR-2012-KiwanukaW
Cluster-based vector-attribute filtering for CT and MRI enhancement (FNK, MHFW), pp. 3112–3115.
ICPRICPR-2012-KongW #learning #multi
A multi-task learning strategy for unsupervised clustering via explicitly separating the commonality (SK, DW), pp. 771–774.
ICPRICPR-2012-KongW12a
Transfer heterogeneous unlabeled data for unsupervised clustering (SK, DW), pp. 1193–1196.
ICPRICPR-2012-LiVBB #learning #using
Feature learning using Generalized Extreme Value distribution based K-means clustering (ZL, OV, HB, RB), pp. 1538–1541.
ICPRICPR-2012-MarcaciniCR #approach #learning
An active learning approach to frequent itemset-based text clustering (RMM, GNC, SOR), pp. 3529–3532.
ICPRICPR-2012-MitraKGSMLOVM #multimodal #performance
Spectral clustering to model deformations for fast multimodal prostate registration (JM, ZK, SG, DS, RM, XL, AO, JCV, FM), pp. 2622–2625.
ICPRICPR-2012-SchleifZGH #approximate #kernel #performance #relational
Fast approximated relational and kernel clustering (FMS, XZ, AG, BH), pp. 1229–1232.
ICPRICPR-2012-UlmB #online #robust
Robust online trajectory clustering without computing trajectory distances (MU, NB), pp. 2270–2273.
ICPRICPR-2012-ValevY #classification #graph #using
Classification using graph partitioning (VV, NY), pp. 1261–1264.
ICPRICPR-2012-VieuxD #classification #documentation #image
Hierarchical clustering model for pixel-based classification of document images (RV, JPD), pp. 290–293.
ICPRICPR-2012-XieLH #matrix #multi
Multi-task co-clustering via nonnegative matrix factorization (SX, HL, YH), pp. 2954–2958.
ICPRICPR-2012-YangGAZW #classification #query
Iterative clustering and support vectors-based high-confidence query selection for motor imagery EEG signals classification (HY, CG, KKA, HZ, CW), pp. 2169–2172.
ICPRICPR-2012-ZhangLM12a #adaptation #automation #detection #fault
An adaptive unsupervised clustering of pronunciation errors for automatic pronunciation error detection (LZ, HL, LM), pp. 1521–1525.
ICPRICPR-2012-ZhangYCLZ #segmentation #video
Video object segmentation by clustering region trajectories (GZ, ZY, DC, YL, NZ), pp. 2598–2601.
ICPRICPR-2012-ZhaoRCF #automation #categorisation #keyword
Keyword clustering for automatic categorization (QZ, MR, HC, PF), pp. 2845–2848.
KDDKDD-2012-BonchiGGU #correlation
Chromatic correlation clustering (FB, AG, FG, AU), pp. 1321–1329.
KDDKDD-2012-CorreaL #graph #using
Locally-scaled spectral clustering using empty region graphs (CDC, PL), pp. 1330–1338.
KDDKDD-2012-Davidson #comprehension #constraints
Two approaches to understanding when constraints help clustering (ID), pp. 1312–1320.
KDDKDD-2012-GunnemannFS #modelling #multi #using
Multi-view clustering using mixture models in subspace projections (SG, IF, TS), pp. 132–140.
KDDKDD-2012-GunnemannFVS #correlation
Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data (SG, IF, KV, TS), pp. 352–360.
KDDKDD-2012-HaiderCB #segmentation
Discriminative clustering for market segmentation (PH, LC, UB), pp. 417–425.
KDDKDD-2012-HiraiY #detection #normalisation #using
Detecting changes of clustering structures using normalized maximum likelihood coding (SH, KY), pp. 343–351.
KDDKDD-2012-JiZL
A sparsity-inducing formulation for evolutionary co-clustering (SJ, WZ, JL), pp. 334–342.
KDDKDD-2012-LiuA #data flow #web
Stratified k-means clustering over a deep web data source (TL, GA), pp. 1113–1121.
KDDKDD-2012-OlteanuS #correlation #energy #named #network #nondeterminism #predict
DAGger: clustering correlated uncertain data (to predict asset failure in energy networks) (DO, SJvS), pp. 1504–1507.
KDDKDD-2012-Plant #dependence #metric
Dependency clustering across measurement scales (CP), pp. 361–369.
KDDKDD-2012-SeelandKK #graph #kernel #learning
A structural cluster kernel for learning on graphs (MS, AK, SK), pp. 516–524.
KDDKDD-2012-StantonK #distributed #graph #scalability #streaming
Streaming graph partitioning for large distributed graphs (IS, GK), pp. 1222–1230.
KDDKDD-2012-SunNHYYY #network
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks (YS, BN, JH, XY, PSY, XY), pp. 1348–1356.
KDDKDD-2012-WauthierJJ #nondeterminism #reduction
Active spectral clustering via iterative uncertainty reduction (FLW, NJ, MIJ), pp. 1339–1347.
KDIRKDIR-2012-AbdullinN #data type #framework #learning
A Semi-supervised Learning Framework to Cluster Mixed Data Types (AA, ON), pp. 45–54.
KDIRKDIR-2012-ArbelaitzGLMPP #adaptation #mining #navigation #profiling #using
Adaptation of the User Navigation Scheme using Clustering and Frequent Pattern Mining Techiques for Profiling (OA, IG, AL, JM, JMP, IP), pp. 187–192.
KDIRKDIR-2012-DuarteFD #constraints #using
Evidence Accumulation Clustering using Pairwise Constraints (JMMD, ALNF, FJFD), pp. 293–299.
KDIRKDIR-2012-VolkovichA
Model Selection and Stability in Spectral Clustering (ZV, RA), pp. 25–34.
KEODKEOD-2012-LuC #documentation #order #recommendation
Bringing Order to Legal Documents — An Issue-based Recommendation System Via Cluster Association (QL, JGC), pp. 76–88.
KEODKEOD-2012-MykowieckaM
Clustering of Medical Terms based on Morpho-syntactic Features (AM, MM), pp. 214–219.
MLDMMLDM-2012-EbrahimiA #approach
Semi Supervised Clustering: A Pareto Approach (JE, MSA), pp. 237–251.
MLDMMLDM-2012-IsakssonDH #data type #named
SOStream: Self Organizing Density-Based Clustering over Data Stream (CI, MHD, MH), pp. 264–278.
MLDMMLDM-2012-MondalPMMB #approach #concept analysis #mining #using
A New Approach for Association Rule Mining and Bi-clustering Using Formal Concept Analysis (KCM, NP, AM, UM, SB), pp. 86–101.
MLDMMLDM-2012-PaliwalP #documentation #segmentation
Investigating Usage of Text Segmentation and Inter-passage Similarities to Improve Text Document Clustering (SP, VP), pp. 555–565.
MLDMMLDM-2012-SilvaA #case study
Semi-supervised Clustering: A Case Study (AS, CA), pp. 252–263.
MLDMMLDM-2012-TaTB #approach #data type #using
Clustering Data Stream by a Sub-window Approach Using DCA (MTT, LTHA, LBA), pp. 279–292.
MLDMMLDM-2012-VlaseMI #metadata #using
Improvement of K-means Clustering Using Patents Metadata (MV, DM, AI), pp. 293–305.
RecSysRecSys-2012-BelloginP #collaboration #graph #using
Using graph partitioning techniques for neighbour selection in user-based collaborative filtering (AB, JP), pp. 213–216.
SEKESEKE-2012-MiaoCLZZ #correctness #fault #identification #locality #testing
Identifying Coincidental Correctness for Fault Localization by Clustering Test Cases (YM, ZC, SL, ZZ, YZ), pp. 267–272.
SEKESEKE-2012-XiePDMRTR #categorisation #grid #power management
Progressive Clustering with Learned Seeds: An Event Categorization System for Power Grid (BX, RJP, HD, JYM, AR, AT, CR), pp. 100–105.
SIGIRSIGIR-2012-LipkaSA #classification #information retrieval #problem
Cluster-based one-class ensemble for classification problems in information retrieval (NL, BS, MA), pp. 1041–1042.
RERE-2012-NiuM #generative #requirements #revisited
Enhancing candidate link generation for requirements tracing: The cluster hypothesis revisited (NN, AM), pp. 81–90.
RERE-2012-ReddivariCN #named #requirements #visual notation
ReCVisu: A tool for clustering-based visual exploration of requirements (SR, ZC, NN), pp. 327–328.
FSEFSE-2012-ChandramohanTS #behaviour #modelling #scalability
Scalable malware clustering through coarse-grained behavior modeling (MC, HBKT, LKS), p. 27.
FSEFSE-2012-DiGiuseppeJ12a #concept
Concept-based failure clustering (ND, JAJ), p. 29.
ICSEICSE-2012-Bohme
Software regression as change of input partitioning (MB), pp. 1523–1526.
ICSEICSE-2012-DangWZZN #named #similarity #stack
ReBucket: A method for clustering duplicate crash reports based on call stack similarity (YD, RW, HZ, DZ, PN), pp. 1084–1093.
ICSEICSE-2012-NistorLPGM #automation #generative #named #parallel #performance #random #testing #thread
Ballerina: Automatic generation and clustering of efficient random unit tests for multithreaded code (AN, QL, MP, TRG, DM), pp. 727–737.
SACSAC-2012-CentenoA #algorithm #approach #image
Clustering approach algorithm for image interpolation (TMC, MTA), pp. 56–57.
SACSAC-2012-FariaBGC #algorithm #data type
Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters (ERF, RCB, JG, ACPLFC), pp. 829–830.
SACSAC-2012-FerrariGT #approach #requirements #specification
A clustering-based approach for discovering flaws in requirements specifications (AF, SG, GT), pp. 1043–1050.
SACSAC-2012-GuccioneCAMM #network
Trend cluster based interpolation everywhere in a sensor network (PG, AC, AA, DM, AM), pp. 827–828.
SACSAC-2012-HanJ #kernel #linux
Kernel-level ARINC 653 partitioning for Linux (SH, HWJ), pp. 1632–1637.
SACSAC-2012-HuangZGWCW
Reducing last level cache pollution through OS-level software-controlled region-based partitioning (TH, QZ, XG, XW, XC, KW), pp. 1779–1784.
SACSAC-2012-HuMB #documentation
Semi-supervised document clustering with dual supervision through seeding (YH, EEM, JB), pp. 144–151.
SACSAC-2012-HuMB12a #documentation
Enhancing semi-supervised document clustering with feature supervision (YH, EEM, JB), pp. 929–936.
SACSAC-2012-KamieHK #effectiveness #using #video #web
Effective web video clustering using playlist information (MK, TH, HK), pp. 949–956.
SACSAC-2012-MakanjuZML #composition #detection #identification
Spatio-temporal decomposition, clustering and identification for alert detection in system logs (AM, ANZH, EEM, ML), pp. 621–628.
SACSAC-2012-NogueiraJR
Hierarchical confidence-based active clustering (BMN, AMJ, SOR), pp. 216–219.
ASPLOSASPLOS-2012-AhmadCRV #named #optimisation #pipes and filters
Tarazu: optimizing MapReduce on heterogeneous clusters (FA, STC, AR, TNV), pp. 61–74.
CASECASE-2012-MatsumotoN #approach #composition #concurrent #petri net #scheduling #tool support
Petri net decomposition approach to deadlock-free scheduling for dual-armed cluster tools (IM, TN), pp. 194–199.
CASECASE-2012-ParkM #behaviour #bound #hybrid #linear #performance #tool support
Performance bounds for hybrid flow lines: Fundamental behavior, practical features and application to linear cluster tools (KP, JRM), pp. 371–376.
CASECASE-2012-QiaoWZ #analysis #petri net #scheduling #tool support
Petri net-based scheduling analysis of dual-arm cluster tools with wafer revisiting (YQ, NW, MZ), pp. 206–211.
CASECASE-2012-TonkeL #independence #scheduling
Scheduling of a dual-armed cluster tool with two independent robot arms (DT, TEL), pp. 200–205.
CGOCGO-2012-KimJLMA #automation
Automatic speculative DOALL for clusters (HK, NPJ, JWL, SAM, DIA), pp. 94–103.
CGOCGO-2012-ZhangM #3d #gpu
Auto-generation and auto-tuning of 3D stencil codes on GPU clusters (YZ, FM), pp. 155–164.
DACDAC-2012-TovinakereSD #estimation #logic
A semiempirical model for wakeup time estimation in power-gated logic clusters (VDT, OS, SD), pp. 48–55.
DATEDATE-2012-AbellanPABBMB #communication #design #framework
Design of a collective communication infrastructure for barrier synchronization in cluster-based nanoscale MPSoCs (JLA, JFP, MEA, DB, DB, AM, LB), pp. 491–496.
DATEDATE-2012-GaoWHZL #concurrent #debugging #manycore
A clustering-based scheme for concurrent trace in debugging NoC-based multicore systems (JG, JW, YH, LZ, XL), pp. 27–32.
DATEDATE-2012-KakoeeLB #architecture #communication #latency
A resilient architecture for low latency communication in shared-L1 processor clusters (MRK, IL, LB), pp. 887–892.
DATEDATE-2012-MahmoodPLM #energy #memory management #optimisation
Application-specific memory partitioning for joint energy and lifetime optimization (HM, MP, ML, EM), pp. 364–369.
DATEDATE-2012-MarongiuBB #embedded #lightweight #parallel #performance
Fast and lightweight support for nested parallelism on cluster-based embedded many-cores (AM, PB, LB), pp. 105–110.
HPCAHPCA-2012-SundararajanPJTF #energy
Cooperative partitioning: Energy-efficient cache partitioning for high-performance CMPs (KTS, VP, TMJ, NPT, BF), pp. 311–322.
HPDCHPDC-2012-BecchiSGPRC #memory management #multitenancy #runtime
A virtual memory based runtime to support multi-tenancy in clusters with GPUs (MB, KS, IG, AMP, VTR, STC), pp. 97–108.
HPDCHPDC-2012-HefeedaGA #approximate #dataset #distributed #scalability
Distributed approximate spectral clustering for large-scale datasets (MH, FG, WAA), pp. 223–234.
HPDCHPDC-2012-PhullLRCC #resource management
Interference-driven resource management for GPU-based heterogeneous clusters (RP, CHL, KR, SC, STC), pp. 109–120.
LCTESLCTES-2012-HuangZX #architecture #embedded #realtime
WCET-aware re-scheduling register allocation for real-time embedded systems with clustered VLIW architecture (YH, MZ, CJX), pp. 31–40.
PDPPDP-2012-AchourN #approach #multi #performance #predict
A Performance Prediction Approach for MPI Routines on Multi-clusters (SA, WN), pp. 125–129.
PDPPDP-2012-AlessiMB #manycore
Accelerating the Production of Synthetic Seismograms by a Multicore Processor Cluster with Multiple GPUs (FA, AM, RB), pp. 434–441.
PDPPDP-2012-DumitrescuA #network
Clustering Superpeers in P2P Networks by Growing Neural Gas (MD, RA), pp. 311–318.
PDPPDP-2012-OliveiraPR #virtual machine
Running User-Provided Virtual Machines in Batch-Oriented Computing Clusters (VO, AMP, AR), pp. 583–587.
PDPPDP-2012-RungsawangM #gpu #performance #rank
Fast PageRank Computation on a GPU Cluster (AR, BM), pp. 450–456.
PPoPPPPoPP-2012-KimSLNJL #cpu #gpu #programming
OpenCL as a unified programming model for heterogeneous CPU/GPU clusters (JK, SS, JL, JN, GJ, JL), pp. 299–300.
PPoPPPPoPP-2012-KwonJEM #approach #hybrid
A hybrid approach of OpenMP for clusters (OK, FJ, RE, SPM), pp. 75–84.
STOCSTOC-2012-LeeGT #higher-order #multi
Multi-way spectral partitioning and higher-order cheeger inequalities (JRL, SOG, LT), pp. 1117–1130.
STOCSTOC-2012-MakarychevMV #algorithm #approximate #problem
Approximation algorithms for semi-random partitioning problems (KM, YM, AV), pp. 367–384.
ICSTICST-2012-DiGiuseppeJ #behaviour #empirical #fault
Software Behavior and Failure Clustering: An Empirical Study of Fault Causality (ND, JAJ), pp. 191–200.
ICSTICST-2012-GuoSC #analysis #testing
Analysis of Test Clusters for Regression Testing (BG, MS, PC), p. 736.
ICSTICST-2012-JuzgadoVSAR #abstraction #branch #effectiveness #equivalence #testing
Comparing the Effectiveness of Equivalence Partitioning, Branch Testing and Code Reading by Stepwise Abstraction Applied by Subjects (NJJ, SV, MS, SA, IR), pp. 330–339.
VMCAIVMCAI-2012-LeeLY #static analysis #statistics
Sound Non-statistical Clustering of Static Analysis Alarms (WL, WL, KY), pp. 299–314.
QoSAQoSA-ISARCS-2011-DettenB #component #detection #re-engineering
Combining clustering and pattern detection for the reengineering of component-based software systems (MvD, SB), pp. 23–32.
ICDARICDAR-2011-HamamuraINOS #concurrent #optimisation #recognition #using #word
Concurrent Optimization of Context Clustering and GMM for Offline Handwritten Word Recognition Using HMM (TH, BI, TN, NO, SS), pp. 523–527.
ICDARICDAR-2011-LiuZLL #image #locality
A Chinese Character Localization Method Based on Intergrating Structure and CC-Clustering for Advertising Images (JL, SZ, HL, WL), pp. 1044–1048.
ICDARICDAR-2011-LuLLZG #multi #web
Web Multimedia Object Clustering via Information Fusion (WL, LL, TL, HZ, JG), pp. 319–323.
ICDARICDAR-2011-ManoharVCPN #graph #segmentation
Graph Clustering-Based Ensemble Method for Handwritten Text Line Segmentation (VM, SNPV, HC, RP, PN), pp. 574–578.
ICDARICDAR-2011-SpasojevicP #scalability #similarity
Large Scale Page-Based Book Similarity Clustering (NS, GP), pp. 119–125.
ICDARICDAR-2011-WakaharaK #image #string #using
Binarization of Color Character Strings in Scene Images Using K-Means Clustering and Support Vector Machines (TW, KK), pp. 274–278.
ICDARICDAR-2011-XiaWL #keyword #knowledge-based #using
Chinese Keyword Spotting Using Knowledge-Based Clustering (YX, KW, ML), pp. 789–793.
SIGMODSIGMOD-2011-GulloDT
Advancing data clustering via projective clustering ensembles (FG, CD, AT), pp. 733–744.
SIGMODSIGMOD-2011-NehmeB #automation #database #design #parallel
Automated partitioning design in parallel database systems (RVN, NB), pp. 1137–1148.
SIGMODSIGMOD-2011-SatuluriPR #graph #scalability
Local graph sparsification for scalable clustering (VS, SP, YR), pp. 721–732.
SIGMODSIGMOD-2011-SchallH #energy #named
WattDB: an energy-proportional cluster of wimpy nodes (DS, VH), pp. 1229–1232.
VLDBVLDB-2011-KantereBS #named
GrouPeer: A System for Clustering PDMSs (VK, DB, TKS), pp. 1371–1374.
VLDBVLDB-2011-LiuNC #query
Query Expansion Based on Clustered Results (ZL, SN, YC), pp. 350–361.
VLDBVLDB-2012-YangRW11 #streaming #summary
Summarization and Matching of Density-Based Clusters in Streaming Environments (DY, EAR, MOW), pp. 121–132.
CSMRCSMR-2011-CorazzaMMS #using
Investigating the Use of Lexical Information for Software System Clustering (AC, SDM, VM, GS), pp. 35–44.
CSMRCSMR-2011-NaseemMM #metric #similarity
Improved Similarity Measures for Software Clustering (RN, OM, SM), pp. 45–54.
CSMRCSMR-2011-SiddiqueM
Analyzing Term Weighting Schemes for Labeling Software Clusters (FS, OM), pp. 85–88.
ICPCICPC-2011-ScannielloM #concept #source code
Clustering Support for Static Concept Location in Source Code (GS, AM), pp. 1–10.
ICSMEICSM-2011-CarlsonDD #approach #case study #industrial #testing
A clustering approach to improving test case prioritization: An industrial case study (RC, HD, AD), pp. 382–391.
ICSMEICSM-2011-LeeK #recommendation
Clustering and recommending collections of code relevant to tasks (SL, SK), pp. 536–539.
ICSMEICSM-2011-RomanoSRG #design pattern #source code
Clustering and lexical information support for the recovery of design pattern in source code (SR, GS, MR, CG), pp. 500–503.
ICSMEICSM-2011-ShternT #multi #using
Evaluating software clustering using multiple simulated authoritative decompositions (MS, VT), pp. 353–361.
WCREWCRE-2011-AliGA #object-oriented #requirements #source code #traceability
Requirements Traceability for Object Oriented Systems by Partitioning Source Code (NA, YGG, GA), pp. 45–54.
WCREWCRE-2011-FuhrHR #dynamic analysis #implementation #legacy #reuse #using
Using Dynamic Analysis and Clustering for Implementing Services by Reusing Legacy Code (AF, TH, VR), pp. 275–279.
WCREWCRE-2011-TanPPZ #fault #predict #quality
Assessing Software Quality by Program Clustering and Defect Prediction (XT, XP, SP, WZ), pp. 244–248.
DLTDLT-J-2009-BealBP11 #automaton #bound #polynomial #word
A Quadratic Upper Bound on the Size of a Synchronizing Word in One-Cluster Automata (MPB, MVB, DP), pp. 277–288.
ICALPICALP-v1-2011-DingX #problem
Solving the Chromatic Cone Clustering Problem via Minimum Spanning Sphere (HD, JX), pp. 773–784.
ICALPICALP-v1-2011-LokshtanovM #strict
Clustering with Local Restrictions (DL, DM), pp. 785–797.
ICALPICALP-v1-2011-Nonner #clique #graph
Clique Clustering Yields a PTAS for max-Coloring Interval Graphs (TN), pp. 183–194.
HCIDUXU-v2-2011-Nakata #analysis #monitoring #usability
Clustering Analysis to Evaluate Usability of Work-Flow Systems and to Monitor Proficiency of Workers (TN), pp. 487–496.
HCIHCD-2011-LeeKLSL #design #effectiveness #monitoring
Designing of an Effective Monitor Partitioning System with Adjustable Virtual Bezel (SSL, HK, YKL, MS, KPL), pp. 537–546.
HCIHCI-DDA-2011-LuoY #algorithm #framework #network #novel #parallel #using
A Novel Parallel Clustering Algorithm Based on Artificial Immune Network Using nVidia CUDA Framework (RL, QY), pp. 598–607.
HCIHCI-MIIE-2011-KimPCJ #effectiveness #traversal
The Effective IVIS Menu and Control Type of an Instrumental Gauge Cluster and Steering Wheel Remote Control with a Menu Traversal (SMK, JP, JC, ESJ), pp. 401–410.
ICEISICEIS-J-2011-ChaoC11a #data type #resource management #ubiquitous
Ubiquitous Resource-Aware Clustering of Data Streams (CMC, GLC), pp. 81–97.
ICEISICEIS-J-2011-MasadaTSO #documentation #string
Clustering Documents with Maximal Substrings (TM, AT, YS, KO), pp. 19–34.
ICEISICEIS-v1-2011-CarvalhoSR #metric
Post-processing Association Association Rules with Clustering and Objective Measures (VOdC, FFdS, SOR), pp. 54–63.
ICEISICEIS-v1-2011-ChaoC #data type #quality #resource management #ubiquitous
Resource-aware High Quality Clustering in Ubiquitous Data Streams (CMC, GLC), pp. 64–73.
ICEISICEIS-v1-2011-MasadaSO #documentation #feature model #string
Documents as a Bag of Maximal Substrings — An Unsupervised Feature Extraction for Document Clustering (TM, YS, KO), pp. 5–13.
ICEISICEIS-v1-2011-RafeaSA #network #social
Label Oriented Clustering for Social Network Discussion Groups (AR, AEKS, SGA), pp. 205–210.
CIKMCIKM-2011-AielloDOM #behaviour #query #topic
Behavior-driven clustering of queries into topics (LMA, DD, UO, FM), pp. 1373–1382.
CIKMCIKM-2011-AnastasiuGB #collaboration #framework #personalisation
A framework for personalized and collaborative clustering of search results (DCA, BJG, DB), pp. 573–582.
CIKMCIKM-2011-CostantiniN #image
Image clustering fusion technique based on BFS (LC, RN), pp. 2093–2096.
CIKMCIKM-2011-DangXC #aspect-oriented #query #using
Inferring query aspects from reformulations using clustering (VD, XX, WBC), pp. 2117–2120.
CIKMCIKM-2011-GunnemannFMAS #evaluation #metric
External evaluation measures for subspace clustering (SG, IF, EM, IA, TS), pp. 1363–1372.
CIKMCIKM-2011-JinLZYY #topic
Transferring topical knowledge from auxiliary long texts for short text clustering (OJ, NNL, KZ, YY, QY), pp. 775–784.
CIKMCIKM-2011-LiBY #ad hoc #architecture #mobile #network
A cluster based mobile peer to peer architecture in wireless ad hoc networks (HL, KB, JY), pp. 2393–2396.
CIKMCIKM-2011-LiCBZH #semantics
Facilitating pattern discovery for relation extraction with semantic-signature-based clustering (YL, VC, SB, HZ, HH), pp. 1415–1424.
CIKMCIKM-2011-LiuWZ #feature model #using
Feature selection using hierarchical feature clustering (HL, XW, SZ), pp. 979–984.
CIKMCIKM-2011-LuCAK #documentation #segmentation #topic
Legal document clustering with built-in topic segmentation (QL, JGC, KAK, WK), pp. 383–392.
CIKMCIKM-2011-MontanerSFD #database #named
MEMSCALE: in-cluster-memory databases (HM, FS, HF, JD), pp. 2569–2572.
CIKMCIKM-2011-MullerAGS #scalability
Scalable density-based subspace clustering (EM, IA, SG, TS), pp. 1077–1086.
CIKMCIKM-2011-PimentelCS #data-driven #database #kernel #metric
A partitioning method for symbolic interval data based on kernelized metric (BAP, AFBFdC, RMCRdS), pp. 2189–2192.
CIKMCIKM-2011-SteinGH #precise #web
Beyond precision@10: clustering the long tail of web search results (BS, TG, DH), pp. 2141–2144.
CIKMCIKM-2011-WangBFG #information management
Filtering and clustering relations for unsupervised information extraction in open domain (WW, RB, OF, BG), pp. 1405–1414.
CIKMCIKM-2011-WangHD #matrix #multi #relational #symmetry
Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization (HW, HH, CHQD), pp. 279–284.
CIKMCIKM-2011-WangNSTC #dependence #documentation #graph #representation
Representing document as dependency graph for document clustering (YW, XN, JTS, YT, ZC), pp. 2177–2180.
CIKMCIKM-2011-WattanakitrungrojL #data type #streaming
Memory-less unsupervised clustering for data streaming by versatile ellipsoidal function (NW, CL), pp. 967–972.
CIKMCIKM-2011-YangGRW #framework #interactive #named
CLUES: a unified framework supporting interactive exploration of density-based clusters in streams (DY, ZG, EAR, MOW), pp. 815–824.
ECIRECIR-2011-LiWJC #documentation #web
User-Related Tag Expansion for Web Document Clustering (PL, BW, WJ, YC), pp. 19–31.
ICMLICML-2011-AroraGKF #matrix
Clustering by Left-Stochastic Matrix Factorization (RA, MRG, AK, MF), pp. 761–768.
ICMLICML-2011-HockingVBJ #algorithm #named #using
Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties (TH, JPV, FRB, AJ), pp. 745–752.
ICMLICML-2011-JalaliCSX #graph #optimisation
Clustering Partially Observed Graphs via Convex Optimization (AJ, YC, SS, HX), pp. 1001–1008.
ICMLICML-2011-KpotufeL #nearest neighbour
Pruning nearest neighbor cluster trees (SK, UvL), pp. 225–232.
ICMLICML-2011-KumarD #approach #multi
A Co-training Approach for Multi-view Spectral Clustering (AK, HDI), pp. 393–400.
ICMLICML-2011-LiP #exclamation
Time Series Clustering: Complex is Simpler! (LL, BAP), pp. 185–192.
ICMLICML-2011-SugiyamaYKH #on the #parametricity
On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution (MS, MY, MK, HH), pp. 65–72.
KDDKDD-2011-AlqadahB #framework #game studies #network
A game theoretic framework for heterogenous information network clustering (FA, RB), pp. 795–804.
KDDKDD-2011-ApplegateDKU #distance #multi #using
Unsupervised clustering of multidimensional distributions using earth mover distance (DA, TD, SK, SU), pp. 636–644.
KDDKDD-2011-ChittaJHJ #approximate #kernel #scalability
Approximate kernel k-means: solution to large scale kernel clustering (RC, RJ, TCH, AKJ), pp. 895–903.
KDDKDD-2011-CordeiroTTLKF #dataset #multi #pipes and filters #scalability
Clustering very large multi-dimensional datasets with MapReduce (RLFC, CTJ, AJMT, JL, UK, CF), pp. 690–698.
KDDKDD-2011-EneIM #performance #pipes and filters #using
Fast clustering using MapReduce (AE, SI, BM), pp. 681–689.
KDDKDD-2011-GilpinD #algorithm #approach #flexibility #performance #satisfiability
Incorporating SAT solvers into hierarchical clustering algorithms: an efficient and flexible approach (SG, IND), pp. 1136–1144.
KDDKDD-2011-KremerKJSBHP #data type #effectiveness #evaluation #evolution
An effective evaluation measure for clustering on evolving data streams (HK, PK, TJ, TS, AB, GH, BP), pp. 868–876.
KDDKDD-2011-LiuZW #constraints
Clustering with relative constraints (EYL, ZZ, WW), pp. 947–955.
KDDKDD-2011-PlantB #category theory #named
INCONCO: interpretable clustering of numerical and categorical objects (CP, CB), pp. 1127–1135.
KDIRKDIR-2011-AzamV #comparative #evaluation #metric #proximity
A Comparative Evaluation of Proximity Measures for Spectral Clustering (NFA, HLV), pp. 30–41.
KDIRKDIR-2011-BarbieriCMR #approach #probability
Characterizing Relationships through Co-clustering — A Probabilistic Approach (NB, GC, GM, ER), pp. 64–73.
KDIRKDIR-2011-Ibrahim #algorithm #network
Enhancing Clustering Network Planning Algorithm in the Presence of Obstacles (LFI), pp. 480–486.
KDIRKDIR-2011-MoralesCT
Clustering of Heterogeneously Typed Data with Soft Computing (AFKM, LECB, DTB), pp. 499–502.
KDIRKDIR-2011-OlegA #analysis #approach
Methods for Discovering and Analysis of Regularities Systems — Approach based on Optimal Partitioning of Explanatory Variables Space (OVS, AVK), pp. 423–426.
KDIRKDIR-2011-Osuna-OntiverosLS #approach #documentation #semantics
A Semantic Clustering Approach for Indexing Documents (DOO, ILA, VSS), pp. 288–293.
KDIRKDIR-2011-PaliwalP #documentation #proximity
Utilizing Term Proximity based Features to Improve Text Document Clustering (SP, VP), pp. 537–544.
KDIRKDIR-2011-ZalikZ #algorithm #network
Network Clustering by Advanced Label Propagation Algorithm (KRZ, BZ), pp. 444–447.
KEODKEOD-2011-FukumotoS #classification #graph #semantics #word
Semantic Classification of Unknown Words based on Graph-based Semi-supervised Clustering (FF, YS), pp. 37–46.
MLDMMLDM-2011-AidosF #higher-order
Hierarchical Clustering with High Order Dissimilarities (HA, ALNF), pp. 280–293.
MLDMMLDM-2011-Bouguessa #approach #transaction
A Practical Approach for Clustering Transaction Data (MB), pp. 265–279.
MLDMMLDM-2011-LozanoA #algorithm
Comparing Clustering and Metaclustering Algorithms (EL, EA), pp. 306–319.
MLDMMLDM-2011-MadaniBZ #named #xml
Clust-XPaths: Clustering of XML Paths (AM, OB, DEZ), pp. 294–305.
RecSysRecSys-2011-Alam #recommendation #web
Intelligent web usage clustering based recommender system (SA), pp. 367–370.
SEKESEKE-2011-CassellAG #approach #refactoring
A Dual Clustering Approach to the Extract Class Refactoring (KC, PA, LG), pp. 77–82.
SIGIRSIGIR-2011-AnastasiuGB #collaboration #named #personalisation
ClusteringWiki: personalized and collaborative clustering of search results (DCA, BJG, DB), pp. 1263–1264.
SIGIRSIGIR-2011-KozorovitzkyK
Cluster-based fusion of retrieved lists (AKK, OK), pp. 893–902.
SIGIRSIGIR-2011-LeungLL #collaboration #framework #named #recommendation
CLR: a collaborative location recommendation framework based on co-clustering (KWTL, DLL, WCL), pp. 305–314.
SIGIRSIGIR-2011-YangGU #identification #self
Identifying points of interest by self-tuning clustering (YY, ZG, LHU), pp. 883–892.
SIGIRSIGIR-2011-ZhangWS11a #documentation
Document clustering with universum (DZ, JW, LS), pp. 873–882.
AdaEuropeAdaEurope-2011-EsquinasZPMRC #ada #framework #platform
ORK+/XtratuM: An Open Partitioning Platform for Ada (ÁE, JZ, JAdlP, MM, IR, AC), pp. 160–173.
RERE-2011-MahmoudN #named #traceability
TraCter: A tool for candidate traceability link clustering (AM, NN), pp. 335–336.
RERE-2011-VeerappaL #comprehension #multi #problem
Understanding clusters of optimal solutions in multi-objective decision problems (VV, EL), pp. 89–98.
REFSQREFSQ-2011-VeerappaL #requirements
Clustering Stakeholders for Requirements Decision Making (VV, EL), pp. 202–208.
ASEASE-2011-SagdeoAKV #invariant #named #using
PRECIS: Inferring invariants using program path guided clustering (PS, VA, SK, SV), pp. 532–535.
SACSAC-2011-BelcaidBHP #performance #using
Efficient clustering of populations using a minimal SNP panel (MB, KB, DH, GP), pp. 83–88.
SACSAC-2011-ChenHT #power management #quality #requirements
Power management schemes for heterogeneous clusters under quality of service requirements (JJC, KH, LT), pp. 546–553.
SACSAC-2011-CuzzocreaS #database #framework #mining #named
ClustCube: an OLAP-based framework for clustering and mining complex database objects (AC, PS), pp. 976–982.
SACSAC-2011-FuPT #distributed #framework #named
CluB: a cluster based framework for mitigating distributed denial of service attacks (ZF, MP, PT), pp. 520–527.
SACSAC-2011-HsuCK
Hierarchical comments-based clustering (CFH, JC, EK), pp. 1130–1137.
SACSAC-2011-HuMB #documentation #feature model #interactive
Interactive feature selection for document clustering (YH, EEM, JB), pp. 1143–1150.
SACSAC-2011-KontogiannisWM #comprehension #reduction #runtime
Event clustering for log reduction and run time system understanding (KK, AW, SM), pp. 191–192.
SACSAC-2011-KuoLC #algorithm #testing
Testing a binary space partitioning algorithm with metamorphic testing (FCK, SL, TYC), pp. 1482–1489.
SACSAC-2011-RodriguesGAL #named
L2GClust: local-to-global clustering of stream sources (PPR, JG, JA, LMBL), pp. 1006–1011.
SACSAC-2011-VandicDHF #approach #semantics
A semantic clustering-based approach for searching and browsing tag spaces (DV, JWvD, FH, FF), pp. 1693–1699.
ASPLOSASPLOS-2011-LiuPMZ #named
Flikker: saving DRAM refresh-power through critical data partitioning (SL, KP, TM, BGZ), pp. 213–224.
ASPLOSASPLOS-2011-SharmaBIS #named
Blink: managing server clusters on intermittent power (NS, SKB, DEI, PJS), pp. 185–198.
CASECASE-2011-BoemPFP #distance #multi #using
Multi-feature trajectory clustering using Earth Mover’s Distance (FB, FAP, GF, TP), pp. 310–315.
CASECASE-2011-KimL #constraints #scheduling #tool support
Scheduling of cluster tools with ready time constraints for small lot production (HJK, TEL), pp. 96–101.
CASECASE-2011-LeeL #concurrent #multi
Concurrent processing of multiple wafer types in a single-armed cluster tool (JHL, TEL), pp. 102–107.
CASECASE-2011-QiaoWZ #analysis #modelling #tool support
Modeling and analysis of dual-arm cluster tools for wafer fabrication with revisiting (YQ, NW, MZ), pp. 90–95.
CCCC-2011-GreweO #approach #using
A Static Task Partitioning Approach for Heterogeneous Systems Using OpenCL (DG, MFPO), pp. 286–305.
DACDAC-2011-KandemirYK #concurrent #parallel #thread
A helper thread based dynamic cache partitioning scheme for multithreaded applications (MTK, TY, EK), pp. 954–959.
DACDAC-2011-LiuZXL #hybrid #in memory #memory management #power management
Power-aware variable partitioning for DSPs with hybrid PRAM and DRAM main memory (TL, YZ, CJX, ML), pp. 405–410.
DACDAC-2011-MoffittSV #functional #robust #verification
Robust partitioning for hardware-accelerated functional verification (MDM, MAS, PGV), pp. 854–859.
DACDAC-2011-Pomeranz #fault
Diagnosis of transition fault clusters (IP), pp. 429–434.
DACDAC-2011-RajavelA #named
MO-pack: many-objective clustering for FPGA CAD (STR, AA), pp. 818–823.
DACDAC-2011-WangMR #configuration management #energy #manycore #optimisation #realtime
Dynamic cache reconfiguration and partitioning for energy optimization in real-time multi-core systems (WW, PM, SR), pp. 948–953.
DATEDATE-2011-FalkZHT #algorithm #data flow #embedded #performance #rule-based #synthesis
A rule-based static dataflow clustering algorithm for efficient embedded software synthesis (JF, CZ, CH, JT), pp. 521–526.
DATEDATE-2011-KolpeZS #manycore #power management
Enabling improved power management in multicore processors through clustered DVFS (TK, AZ, SSS), pp. 293–298.
DATEDATE-2011-KongYD #energy #multi #realtime #scheduling
Energy-efficient scheduling of real-time tasks on cluster-based multicores (FK, WY, QD), pp. 1135–1140.
DATEDATE-2011-KumarRPB #3d #testing
Hyper-graph based partitioning to reduce DFT cost for pre-bond 3D-IC testing (AK, SMR, IP, BB), pp. 1424–1429.
DATEDATE-2011-RahimiLKB #network
A fully-synthesizable single-cycle interconnection network for Shared-L1 processor clusters (AR, IL, MRK, LB), pp. 491–496.
DATEDATE-2011-Struzyna #constraints
Flow-based partitioning and position constraints in VLSI placement (MS), pp. 607–612.
HPCAHPCA-2011-RanjanLMG #concurrent #multi #named #thread
Fg-STP: Fine-Grain Single Thread Partitioning on Multicores (RR, FL, PM, AG), pp. 15–24.
HPDCHPDC-2011-JuveD #named
Wrangler: virtual cluster provisioning for the cloud (GJ, ED), pp. 277–278.
HPDCHPDC-2011-TejedorFGBAL #named #programming
ClusterSs: a task-based programming model for clusters (ET, MF, DG, RMB, GA, JL), pp. 267–268.
LCTESLCTES-2011-JangKLKYKKR #architecture #configuration management
An instruction-scheduling-aware data partitioning technique for coarse-grained reconfigurable architectures (CJ, JK, JL, HSK, DY, SK, HK, SR), pp. 151–160.
PDPPDP-2011-AchourAKN #automation #named #performance #predict #source code #towards
MPI-PERF-SIM: Towards an Automatic Performance Prediction Tool of MPI Programs on Hierarchical Clusters (SA, MA, BK, WN), pp. 207–211.
PDPPDP-2011-FresnoGF #automation #multi
Automatic Data Partitioning Applied to Multigrid PDE Solvers (JF, AGE, DRLF), pp. 239–246.
PDPPDP-2011-KarantasisP #abstraction #gpu #memory management #programming
Programming GPU Clusters with Shared Memory Abstraction in Software (KIK, EDP), pp. 223–230.
SOSPSOSP-2011-ErlingssonPPB #distributed #kernel #named
Fay: extensible distributed tracing from kernels to clusters (ÚE, MP, SP, MB), pp. 311–326.
STOCSTOC-2011-FeldmanL #approximate #framework
A unified framework for approximating and clustering data (DF, ML), pp. 569–578.
STOCSTOC-2011-IndykP #distance #modelling
K-median clustering, model-based compressive sensing, and sparse recovery for earth mover distance (PI, EP), pp. 627–636.
ICSTICST-2011-ChenCZXF #testing #using
Using semi-supervised clustering to improve regression test selection techniques (SC, ZC, ZZ, BX, YF), pp. 1–10.
DocEngDocEng-2010-DubucB #social #social media #topic
Structure-aware topic clustering in social media (JD, SB), pp. 247–250.
DRRDRR-2010-BianneKL #modelling #recognition #using #word
Context-dependent HMM modeling using tree-based clustering for the recognition of handwritten words (ALB, CK, LLS), pp. 1–10.
TPDLECDL-2010-GippTB #analysis #proximity
Link Proximity Analysis — Clustering Websites by Examining Link Proximity (BG, AT, JB), pp. 449–452.
HTHT-2010-LeivaV #approach #documentation #interactive #web
Assessing users’ interactions for clustering web documents: a pragmatic approach (LAL, EV), pp. 277–278.
SIGMODSIGMOD-2010-MahmoudA #integration #multi #retrieval
Schema clustering and retrieval for multi-domain pay-as-you-go data integration systems (HAM, AA), pp. 411–422.
VLDBVLDB-2010-BuHBE #named #performance #scalability
HaLoop: Efficient Iterative Data Processing on Large Clusters (YB, BH, MB, MDE), pp. 285–296.
VLDBVLDB-2010-CurinoZJM #approach #database #named #replication
Schism: a Workload-Driven Approach to Database Replication and Partitioning (CC, YZ, EPCJ, SM), pp. 48–57.
VLDBVLDB-2010-GunnemannFKS #concept #interactive #named
CoDA: Interactive Cluster Based Concept Discovery (SG, IF, HK, TS), pp. 1633–1636.
VLDBVLDB-2010-LangP #energy #pipes and filters
Energy Management for MapReduce Clusters (WL, JMP), pp. 129–139.
VLDBVLDB-2010-LiDHK #mining #named
Swarm: Mining Relaxed Temporal Moving Object Clusters (ZL, BD, JH, RK), pp. 723–734.
VLDBVLDB-2010-MacropolS #graph #scalability
Scalable Discovery of Best Clusters on Large Graphs (KM, AKS), pp. 693–702.
VLDBVLDB-2010-TzoumasDJ #correlation #query
Sharing-Aware Horizontal Partitioning for Exploiting Correlations During Query Processing (KT, AD, CSJ), pp. 542–553.
VLDBVLDB-2011-LeeH10 #named #performance #using
QSkycube: Efficient Skycube Computation using Point-Based Space Partitioning (JL, SwH), pp. 185–196.
EDMEDM-2010-Bian #learning #process #student
Clustering Student Learning Activity Data (HB), pp. 277–278.
EDMEDM-2010-NugentDA #algorithm #automation #set #specification
Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers (RN, ND, EA), pp. 151–160.
CSMRCSMR-2010-CorazzaMS #approach #probability #towards
A Probabilistic Based Approach towards Software System Clustering (AC, SDM, GS), pp. 88–96.
ICPCICPC-2010-ScannielloDDD #algorithm #using
Using the Kleinberg Algorithm and Vector Space Model for Software System Clustering (GS, AD, CD, TD), pp. 180–189.
ICPCICPC-2010-ShternT #algorithm #on the
On the Comparability of Software Clustering Algorithms (MS, VT), pp. 64–67.
PASTEPASTE-2010-IslamKBH #dependence
Coherent dependence clusters (SSI, JK, DB, MH), pp. 53–60.
WCREWCRE-2010-BeckD #evolution
Evaluating the Impact of Software Evolution on Software Clustering (FB, SD), pp. 99–108.
ICALPICALP-v1-2010-LiYZ
Clustering with Diversity (JL, KY, QZ), pp. 188–200.
SOFTVISSOFTVIS-2010-IslamKB #dependence #visualisation
Dependence cluster visualization (SSI, JK, DB), pp. 93–102.
ICEISICEIS-AIDSS-2010-AdamLDB #parallel #performance #using
Performance Gain for Clustering with Growing Neural Gas using Parallelization Methods (AA, SL, SD, WB), pp. 264–269.
ICEISICEIS-AIDSS-2010-SahaPMB #classification #difference #image #using
Improvement of Differential Crisp Clustering using ANN Classifier for Unsupervised Pixel Classification of Satellite Image (IS, DP, UM, SB), pp. 21–29.
ICEISICEIS-DISI-2010-BohmHL #multi #optimisation #queue
Multi-process Optimization Via Horizontal Message Queue Partitioning (MB, DH, WL), pp. 5–14.
ICEISICEIS-DISI-2010-BottcherHK #named #xml
CluX — Clustering XML Sub-trees (SB, RH, CK), pp. 142–150.
ICEISICEIS-J-2010-BohmHL10a #multi #optimisation #queue
Multi-flow Optimization via Horizontal Message Queue Partitioning (MB, DH, WL), pp. 31–47.
CIKMCIKM-2010-ChatterjeeBR
Feature subspace transformations for enhancing k-means clustering (AC, SB, PR), pp. 1801–1804.
CIKMCIKM-2010-DasguptaBL #performance #taxonomy #web #web service
Taxonomic clustering of web service for efficient discovery (SD, SB, YL), pp. 1617–1620.
CIKMCIKM-2010-EatondJ #constraints #learning #multi
Multi-view clustering with constraint propagation for learning with an incomplete mapping between views (EE, Md, SJ), pp. 389–398.
CIKMCIKM-2010-FangSS #learning #multi
Multilevel manifold learning with application to spectral clustering (HrF, SS, YS), pp. 419–428.
CIKMCIKM-2010-FanWW #normalisation #performance #visual notation
Maximum normalized spacing for efficient visual clustering (ZGF, YW, BW), pp. 409–418.
CIKMCIKM-2010-HuangSHDSL #algorithm #community #detection #named #network
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks (JH, HS, JH, HD, YS, YL), pp. 219–228.
CIKMCIKM-2010-LuETP #video #visualisation
Visualization and clustering of crowd video content in MPCA subspace (HL, HLE, MT, KNP), pp. 1777–1780.
CIKMCIKM-2010-WangL #documentation #incremental #summary #using
Document update summarization using incremental hierarchical clustering (DW, TL), pp. 279–288.
ECIRECIR-2010-PapapetrouSF #network #peer-to-peer #probability
Text Clustering for Peer-to-Peer Networks with Probabilistic Guarantees (OP, WS, NF), pp. 293–305.
ICMLICML-2010-BshoutyL #linear #using
Finding Planted Partitions in Nearly Linear Time using Arrested Spectral Clustering (NHB, PML), pp. 135–142.
ICMLICML-2010-CoenAF
Comparing Clusterings in Space (MHC, MHA, NF), pp. 231–238.
ICMLICML-2010-DasguptaN #mining
Mining Clustering Dimensions (SD, VN), pp. 263–270.
ICMLICML-2010-FaivishevskyG #algorithm #parametricity
Nonparametric Information Theoretic Clustering Algorithm (LF, JG), pp. 351–358.
ICMLICML-2010-LinC
Power Iteration Clustering (FL, WWC), pp. 655–662.
ICMLICML-2010-NiuDJ #multi
Multiple Non-Redundant Spectral Clustering Views (DN, JGD, MIJ), pp. 831–838.
ICMLICML-2010-PoonZCW #modelling
Variable Selection in Model-Based Clustering: To Do or To Facilitate (LKMP, NLZ, TC, YW), pp. 887–894.
ICMLICML-2010-Ryabko #process
Clustering processes (DR), pp. 919–926.
ICMLICML-2010-VogtPFR #distance #invariant #process
The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data (JEV, SP, TJF, VR), pp. 1111–1118.
ICPRICPR-2010-AbdalaWJ #random
Ensemble Clustering via Random Walker Consensus Strategy (DDA, PW, XJ), pp. 1433–1436.
ICPRICPR-2010-AbergW #3d #algorithm
A Memetic Algorithm for Selection of 3D Clustered Features with Applications in Neuroscience (MBÅ, JW), pp. 1076–1079.
ICPRICPR-2010-AyechKA #adaptation #image #segmentation
Image Segmentation Based on Adaptive Fuzzy-C-Means Clustering (MWA, KK, BeA), pp. 2306–2309.
ICPRICPR-2010-BassiouK #distance #using #word
Word Clustering Using PLSA Enhanced with Long Distance Bigrams (NB, CK), pp. 4226–4229.
ICPRICPR-2010-BauckhageT #adaptation #image
Adapting Information Theoretic Clustering to Binary Images (CB, CT), pp. 910–913.
ICPRICPR-2010-BicegoLFD #array #modelling #topic
Biclustering of Expression Microarray Data with Topic Models (MB, PL, AF, MD), pp. 2728–2731.
ICPRICPR-2010-BuloP #difference #probability #using
Probabilistic Clustering Using the Baum-Eagon Inequality (SRB, MP), pp. 1429–1432.
ICPRICPR-2010-CapitaineF10a #image #on the #segmentation
On Selecting an Optimal Number of Clusters for Color Image Segmentation (HLC, CF), pp. 3388–3391.
ICPRICPR-2010-ChenWL #on the
On Dynamic Weighting of Data in Clustering with K-Alpha Means (SC, HW, BL), pp. 774–777.
ICPRICPR-2010-CheongL #case study #detection #topic #twitter
A Study on Detecting Patterns in Twitter Intra-topic User and Message Clustering (MC, VCSL), pp. 3125–3128.
ICPRICPR-2010-ChiuHW
AP-Based Consensus Clustering for Gene Expression Time Series (TYC, TCH, JSW), pp. 2512–2515.
ICPRICPR-2010-DinhPLL
Tensor Voting Based Color Clustering (TND, JP, CL, GL), pp. 597–600.
ICPRICPR-2010-IsmailF #finite #modelling #robust
Possibilistic Clustering Based on Robust Modeling of Finite Generalized Dirichlet Mixture (MMBI, HF), pp. 573–576.
ICPRICPR-2010-JiLZ #modelling
CDP Mixture Models for Data Clustering (YJ, TL, HZ), pp. 637–640.
ICPRICPR-2010-JouiliTL #algorithm #graph
Median Graph Shift: A New Clustering Algorithm for Graph Domain (SJ, ST, VL), pp. 950–953.
ICPRICPR-2010-KitaW #image #using
Binarization of Color Characters in Scene Images Using k-means Clustering and Support Vector Machines (KK, TW), pp. 3183–3186.
ICPRICPR-2010-KlareMJD
Clustering Face Carvings: Exploring the Devatas of Angkor Wat (BK, PKM, AKJ, KD), pp. 1517–1520.
ICPRICPR-2010-KobayashiO
Von Mises-Fisher Mean Shift for Clustering on a Hypersphere (TK, NO), pp. 2130–2133.
ICPRICPR-2010-LourencoFJ #on the #scalability
On the Scalability of Evidence Accumulation Clustering (AL, ALNF, AKJ), pp. 782–785.
ICPRICPR-2010-MakiharaY #analysis
Cluster-Pairwise Discriminant Analysis (YM, YY), pp. 577–580.
ICPRICPR-2010-MarinaiMS #identification #recognition
Bag of Characters and SOM Clustering for Script Recognition and Writer Identification (SM, BM, GS), pp. 2182–2185.
ICPRICPR-2010-Mirzaei #algorithm #multi #novel
A Novel Multi-view Agglomerative Clustering Algorithm Based on Ensemble of Partitions on Different Views (HM), pp. 1007–1010.
ICPRICPR-2010-NgPS #automation #fuzzy
Automated Feature Weighting in Fuzzy Declustering-based Vector Quantization (TFN, TDP, CS), pp. 686–689.
ICPRICPR-2010-NielsenBS
Bhattacharyya Clustering with Applications to Mixture Simplifications (FN, SB, OS), pp. 1437–1440.
ICPRICPR-2010-PinedaKW #correlation #set #visual notation #word
Object Discovery by Clustering Correlated Visual Word Sets (GFP, HK, TW), pp. 750–753.
ICPRICPR-2010-SaboorianJR #adaptation #database #image #scalability
User Adaptive Clustering for Large Image Databases (MMS, MJ, HRR), pp. 4271–4274.
ICPRICPR-2010-SakarKSG #feature model #predict
Prediction of Protein Sub-nuclear Location by Clustering mRMR Ensemble Feature Selection (COS, OK, HS, FG), pp. 2572–2575.
ICPRICPR-2010-SenkoK #pattern matching #pattern recognition #recognition #using
Pattern Recognition Method Using Ensembles of Regularities Found by Optimal Partitioning (OVS, AVK), pp. 2957–2960.
ICPRICPR-2010-SfikasHN #analysis #multi #using
Multiple Atlas Inference and Population Analysis Using Spectral Clustering (GS, CH, CN), pp. 2500–2503.
ICPRICPR-2010-TakalaCP #network #sequence
Boosting Clusters of Samples for Sequence Matching in Camera Networks (VT, YC, MP), pp. 400–403.
ICPRICPR-2010-TaxHVP #concept #detection #learning #multi #using
The Detection of Concept Frames Using Clustering Multi-instance Learning (DMJT, EH, MFV, MP), pp. 2917–2920.
ICPRICPR-2010-VuLB #algorithm #constraints #performance
An Efficient Active Constraint Selection Algorithm for Clustering (VVV, NL, BBM), pp. 2969–2972.
ICPRICPR-2010-WangB #automation #evaluation #fault #performance
Performance Evaluation of Automatic Feature Discovery Focused within Error Clusters (SYW, HSB), pp. 718–721.
ICPRICPR-2010-WangLR #graph
Combining Real and Virtual Graphs to Enhance Data Clustering (LW, CL, KR), pp. 790–793.
ICPRICPR-2010-WojcikiewiczBK #classification #image
Enhancing Image Classification with Class-wise Clustered Vocabularies (WW, AB, MK), pp. 1060–1063.
ICPRICPR-2010-ZhangH
A Hierarchical Clustering Method for Color Quantization (JZ, JH), pp. 786–789.
ICPRICPR-2010-ZhangW #named
ARImp: A Generalized Adjusted Rand Index for Cluster Ensembles (SZ, HSW), pp. 778–781.
ICPRICPR-2010-ZhanY
Cluster Preserving Embedding (YZ, JY), pp. 621–624.
KDDKDD-2010-BohmPSY
Clustering by synchronization (CB, CP, JS, QY), pp. 583–592.
KDDKDD-2010-CaiZH #feature model #multi
Unsupervised feature selection for multi-cluster data (DC, CZ, XH), pp. 333–342.
KDDKDD-2010-DangB #linear
A hierarchical information theoretic technique for the discovery of non linear alternative clusterings (XHD, JB), pp. 573–582.
KDDKDD-2010-HossainTWDHR
Unifying dependent clustering and disparate clustering for non-homogeneous data (MSH, ST, LTW, ID, RFH, NR), pp. 593–602.
KDDKDD-2010-LiuLNFL #towards
Towards mobility-based clustering (SL, YL, LMN, JF, ML), pp. 919–928.
KDDKDD-2010-PrestonBKSF #constraints #using
Redefining class definitions using constraint-based clustering: an application to remote sensing of the earth’s surface (DP, CEB, RK, DSM, MAF), pp. 823–832.
KDDKDD-2010-WangD #flexibility
Flexible constrained spectral clustering (XW, ID), pp. 563–572.
KDDKDD-2010-YeLCJ #automation #categorisation #using
Automatic malware categorization using cluster ensemble (YY, TL, YC, QJ), pp. 95–104.
KDDKDD-2010-YuHW #documentation #feature model #process
Document clustering via dirichlet process mixture model with feature selection (GY, RzH, ZW), pp. 763–772.
KDIRKDIR-2010-GabrielSN #folksonomy #named #process
Crosssense — Sensemaking in a Folksonomy with Cross-modal Clustering over Content and User Activities (HHG, MS, AN), pp. 100–111.
KDIRKDIR-2010-KumarVSV #documentation #n-gram #wiki
Exploiting N-gram Importance and Wikipedia based Additional Knowledge for Improvements in GAAC based Document Clustering (NK, VVBV, KS, VV), pp. 182–187.
KDIRKDIR-2010-LourencoF #learning #multi
Selectively Learning Clusters in Multi-EAC (AL, ALNF), pp. 491–499.
KDIRKDIR-2010-NcirEB #kernel
Kernel Overlapping K-Means for Clustering in Feature Space (CEBN, NE, PB), pp. 250–255.
KDIRKDIR-2010-OlsonL #performance
Simple and Efficient Projective Clustering (CFO, HJL), pp. 45–55.
KDIRKDIR-2010-SaidW #concurrent #online #thread
Clustering of Thread Posts in Online Discussion Forums (DAS, NMW), pp. 314–319.
KDIRKDIR-2010-ThanhYU #documentation #scalability #set #similarity
Clustering Documents with Large Overlap of Terms into Different Clusters based on Similarity Rough Set Model (NCT, KY, MU), pp. 396–399.
KDIRKDIR-2010-TsaiHYC #algorithm #performance
An Efficient PSO-based Clustering Algorithm (CWT, KWH, CSY, MCC), pp. 150–155.
KEODKEOD-2010-JohnF #personalisation #semantics #web
The Effect of Semantic Clustering on Web Search Personalization (JDG, FO), pp. 60–69.
KMISKMIS-2010-Caballero-GilCM #analysis #information management #simulation #using
Knowledge Management using Clusters in VANETs — Description, Simulation and Analysis (CCG, PCG, JMG), pp. 170–175.
RecSysRecSys-2010-KhoshneshinS10a #collaboration #incremental
Incremental collaborative filtering via evolutionary co-clustering (MK, WNS), pp. 325–328.
RecSysRecSys-2010-MoldvayBFS #graph #named #recommendation #semantics #social
Tagmantic: a social recommender service based on semantic tag graphs and tag clusters (JM, IB, AF, MS), pp. 345–346.
SEKESEKE-2010-DuanCZQY #slicing #testing
Improving Cluster Selection Techniques of Regression Testing by Slice Filtering (YD, ZC, ZZ, JQ, ZY), pp. 253–258.
SEKESEKE-2010-MarcaciniR #incremental #topic #using
Incremental Construction of Topic Hierarchies using Hierarchical Term Clustering (RMM, SOR), p. 553.
SIGIRSIGIR-2010-CarpinetoR
Optimal meta search results clustering (CC, GR), pp. 170–177.
SIGIRSIGIR-2010-DasguptaN #towards
Towards subjectifying text clustering (SD, VN), pp. 483–490.
SIGIRSIGIR-2010-FernandezPLB #approach
Where to start filtering redundancy?: a cluster-based approach (RTF, JP, DEL, AB), pp. 735–736.
SIGIRSIGIR-2010-KimAGG #documentation #multi
Multi-view clustering of multilingual documents (YMK, MRA, CG, PG), pp. 821–822.
SIGIRSIGIR-2010-LiL #algorithm #named
HCC: a hierarchical co-clustering algorithm (JL, TL), pp. 861–862.
SIGIRSIGIR-2010-MingWC #categorisation #navigation #prototype #web
Prototype hierarchy based clustering for the categorization and navigation of web collections (ZM, KW, TSC), pp. 2–9.
SIGIRSIGIR-2010-MuhrKG #analysis
Analysis of structural relationships for hierarchical cluster labeling (MM, RK, MG), pp. 178–185.
SIGIRSIGIR-2010-WangWVL #documentation #learning #metric
Text document clustering with metric learning (JW, SW, HQV, GL), pp. 783–784.
SACSAC-2010-BautistaSHPD #power management #requirements #set
Dynamic task set partitioning based on balancing resource requirements and utilization to reduce power consumption (DB, JS, HH, SP, JD), pp. 521–526.
SACSAC-2010-ColantonioPOV #adaptation #approach #matrix #named
ABBA: adaptive bicluster-based approach to impute missing values in binary matrices (AC, RDP, AO, NVV), pp. 1026–1033.
SACSAC-2010-ConceicaoPC #novel
A novel stable and low-maintenance clustering scheme (LC, DP, MC), pp. 699–705.
SACSAC-2010-FacchinettiF #architecture #manycore #realtime
Resource partitioning for real-time processing on a multicore architecture (TF, MF), pp. 359–360.
SACSAC-2010-GabrielSN #matrix #similarity #using
Eigenvector-based clustering using aggregated similarity matrices (HHG, MS, AN), pp. 1083–1087.
SACSAC-2010-GuoH #algorithm
A two stage yard crane workload partitioning and job sequencing algorithm for container terminals (XG, SYH), pp. 2383–2388.
SACSAC-2010-LamprierASL
Traveling among clusters: a way to reconsider the benefits of the cluster hypothesis (SL, TA, FS, BL), pp. 1774–1780.
SACSAC-2010-LamprierASL10a #approach #multi #query
Query-oriented clustering: a multi-objective approach (SL, TA, FS, BL), pp. 1789–1795.
SACSAC-2010-MatteoPTV #algorithm #ambiguity #folksonomy
Of mice and terms: clustering algorithms on ambiguous terms in folksonomies (NRDM, SP, FT, FV), pp. 844–848.
SACSAC-2010-NaceraHAM #ad hoc #network
A new two level hierarchy structuring for node partitioning in ad hoc networks (BN, HG, HA, MM), pp. 719–726.
SACSAC-2010-NepomucenoLA #correlation #linear #metaheuristic
Evolutionary metaheuristic for biclustering based on linear correlations among genes (JAN, ATL, JSAR), pp. 1143–1147.
SACSAC-2010-PetrucciLM #optimisation #performance
Dynamic optimization of power and performance for virtualized server clusters (VP, OL, DM), pp. 263–264.
SACSAC-2010-PortugalR #algorithm #graph #multi #using
MSP algorithm: multi-robot patrolling based on territory allocation using balanced graph partitioning (DP, RPR), pp. 1271–1276.
SACSAC-2010-RosswogG #detection #mobile
Efficiently detecting clusters of mobile objects in the presence of dense noise (JR, KG), pp. 1095–1102.
SACSAC-2010-RyuLYS #file system
Flash-aware cluster allocation method based on filename extension for FAT file system (SR, CL, SY, SS), pp. 502–509.
SACSAC-2010-SantanaLM #realtime #web
Load forecasting applied to soft real-time web clusters (CS, JCBL, DM), pp. 346–350.
SACSAC-2010-ShestakovS #web
Host-IP clustering technique for deep web characterization (DS, TS), pp. 874–875.
CASECASE-2010-AhnM #analysis #behaviour #modelling #tool support
Analysis of circular cluster tools: Transient behavior and semiconductor equipment models (YA, JRM), pp. 39–44.
CASECASE-2010-ChanR #estimation #multi #on the #scheduling #tool support
On gradient estimation of scheduling for multi-cluster tools with general robot moving times (WK(C, TMR), pp. 112–117.
CASECASE-2010-LeeL #architecture #scheduling #tool support
An open scheduling architecture for cluster tools (JHL, TEL), pp. 420–425.
CASECASE-2010-RoutrayRS #detection #fault #reduction
Data reduction and clustering techniques for fault detection and diagnosis in automotives (AR, AR, SS), pp. 326–331.
CASECASE-2010-SinghR #energy #optimisation #policy
Energy optimization policies for server clusters (NS, SR), pp. 293–300.
CASECASE-2010-WuZ #bound #petri net #process #scheduling #tool support
Petri net-based scheduling of time-constrained dual-arm cluster tools with bounded activity time variation (NW, MZ), pp. 465–470.
DACDAC-2010-YuP #manycore #memory management #platform
Off-chip memory bandwidth minimization through cache partitioning for multi-core platforms (CY, PP), pp. 132–137.
DATEDATE-2010-NeishaburiZ #debugging #performance
Enabling efficient post-silicon debug by clustering of hardware-assertions (MHN, ZZ), pp. 985–988.
DATEDATE-2010-SrinivasJ #graph #performance
Clock gating approaches by IOEX graphs and cluster efficiency plots (JS, SJ), pp. 638–641.
DATEDATE-2010-TakaseTT #memory management #multi
Partitioning and allocation of scratch-pad memory for priority-based preemptive multi-task systems (HT, HT, HT), pp. 1124–1129.
HPCAHPCA-2010-LeeLSKKS #manycore
COMIC++: A software SVM system for heterogeneous multicore accelerator clusters (JL, JL, SS, JK, SK, ZS), pp. 1–12.
HPCAHPCA-2010-LiuJS #comprehension #how #memory management #multi #performance
Understanding how off-chip memory bandwidth partitioning in Chip Multiprocessors affects system performance (FL, XJ, YS), pp. 1–12.
HPDCHPDC-2010-FuRLFG #data-driven #named #scalability
DiscFinder: a data-intensive scalable cluster finder for astrophysics (BF, KR, JL, EF, GAG), pp. 348–351.
HPDCHPDC-2010-HermenierLM
Cluster-wide context switch of virtualized jobs (FH, AL, JMM), pp. 658–666.
HPDCHPDC-2010-HuLZHX #manycore #scheduling #virtual machine
I/O scheduling model of virtual machine based on multi-core dynamic partitioning (YH, XL, JZ, JH, LX), pp. 142–154.
HPDCHPDC-2010-JonesDD #performance
Impact of sub-optimal checkpoint intervals on application efficiency in computational clusters (WMJ, JTD, ND), pp. 276–279.
HPDCHPDC-2010-RajannaSJLG #coordination #in the cloud #named #network #platform
XCo: explicit coordination to prevent network fabric congestion in cloud computing cluster platforms (VSR, SS, AJ, CL, KG), pp. 252–263.
HPDCHPDC-2010-SonmezYAIE #analysis #multi #performance #scheduling #workflow
Performance analysis of dynamic workflow scheduling in multicluster grids (OOS, NY, SA, AI, DHJE), pp. 49–60.
HPDCHPDC-2010-StoutFMG #network #scalability #using
Scaling virtual organization clusters over a wide area network using the Kestrel workload management system (LS, MF, MAM, SG), pp. 692–698.
OSDIOSDI-2010-AnanthanarayananKGSLSH #using
Reining in the Outliers in Map-Reduce Clusters using Mantri (GA, SK, AGG, IS, YL, BS, EH), pp. 265–278.
PDPPDP-2010-AlonsoRL #case study #implementation #manycore #matrix #parallel
Experimental Study of Six Different Implementations of Parallel Matrix Multiplication on Heterogeneous Computational Clusters of Multicore Processors (PA, RR, ALL), pp. 263–270.
PDPPDP-2010-KushidaTT
High Speed Eigenvalue Solver on the Cell Cluster System for Controlling Nuclear Fusion Plasma (NK, HT, ST), pp. 482–488.
PDPPDP-2010-LeoAGZ #analysis #data transformation #throughput #using
Using Virtual Clusters to Decouple Computation and Data Management in High Throughput Analysis Applications (SL, PA, MG, GZ), pp. 411–415.
PDPPDP-2010-SantoRSZ #distributed #memory management #parallel #transaction
Software Distributed Shared Memory with Transactional Coherence — A Software Engine to Run Transactional Shared-memory Parallel Applications on Clusters (MDS, NR, CS, EZ), pp. 175–179.
PDPPDP-2010-SunWC #approach #coordination #graph #network
A Graph Clustering Approach to Computing Network Coordinates (YS, BW, KC), pp. 129–136.
PDPPDP-2010-UcarC #matrix #modelling #on the #scalability
On the Scalability of Hypergraph Models for Sparse Matrix Partitioning (BU, ÜVÇ), pp. 593–600.
PPoPPPPoPP-2010-MuralidharaKR #parallel #thread
Intra-application shared cache partitioning for multithreaded applications (SPM, MTK, PR), pp. 329–330.
ICSTICST-2010-YanCZZZ #execution
A Dynamic Test Cluster Sampling Strategy by Leveraging Execution Spectra Information (SY, ZC, ZZ, CZ, YZ), pp. 147–154.
DocEngDocEng-2009-KuttyNL #approach #documentation #hybrid #named #performance #xml
HCX: an efficient hybrid clustering approach for XML documents (SK, RN, YL), pp. 94–97.
DRRDRR-2009-TanVK #identification #online #using
Online writer identification using alphabetic information clustering (GXT, CVG, ACK), pp. 1–10.
TPDLECDL-2009-PapadakosKAT #taxonomy #web
Exploratory Web Searching with Dynamic Taxonomies and Results Clustering (PP, SK, NA, YT), pp. 106–118.
ICDARICDAR-2009-BharathM #framework
A Framework Based on Semi-Supervised Clustering for Discovering Unique Writing Styles (AB, SM), pp. 891–895.
ICDARICDAR-2009-CaoPSN #adaptation #using
Unsupervised HMM Adaptation Using Page Style Clustering (HC, RP, SS, PN), pp. 1091–1095.
ICDARICDAR-2009-GaoTLTC #analysis #documentation
Analysis of Book Documents’ Table of Content Based on Clustering (LG, ZT, XL, XT, YC), pp. 911–915.
ICDARICDAR-2009-MarinaiMS #order #using
Mathematical Symbol Indexing Using Topologically Ordered Clusters of Shape Contexts (SM, BM, GS), pp. 1041–1045.
ICDARICDAR-2009-MoghaddamC #automation #classification #documentation #image #multi #word
Application of Multi-Level Classifiers and Clustering for Automatic Word Spotting in Historical Document Images (RFM, MC), pp. 511–515.
ICDARICDAR-2009-PletschacherHA #documentation #framework #recognition
A New Framework for Recognition of Heavily Degraded Characters in Historical Typewritten Documents Based on Semi-Supervised Clustering (SP, JH, AA), pp. 506–510.
ICDARICDAR-2009-RasagnaKJM #documentation #recognition #robust #word
Robust Recognition of Documents by Fusing Results of Word Clusters (VR, AK, CVJ, RM), pp. 566–570.
PODSPODS-2009-GuhaM #nondeterminism
Exceeding expectations and clustering uncertain data (SG, KM), pp. 269–278.
SIGMODSIGMOD-2009-AndreiCCJS #optimisation
Ordering, distinctness, aggregation, partitioning and DQP optimization in sybase ASE 15 (MA, XC, SC, CJ, ES), pp. 917–924.
SIGMODSIGMOD-2009-XuBEHS #enterprise #nondeterminism
E = MC3: managing uncertain enterprise data in a cluster-computing environment (FX, KSB, VE, PJH, EJS), pp. 441–454.
SIGMODSIGMOD-2009-ZhangMC #scalability #using
Scalable skyline computation using object-based space partitioning (SZ, NM, DWC), pp. 483–494.
VLDBVLDB-2009-HassanzadehCML #algorithm #detection #framework
Framework for Evaluating Clustering Algorithms in Duplicate Detection (OH, FC, RJM, HCL), pp. 1282–1293.
VLDBVLDB-2009-KimH #network
A Particle-and-Density Based Evolutionary Clustering Method for Dynamic Networks (MSK, JH), pp. 622–633.
VLDBVLDB-2009-KoloniariP #game studies #peer-to-peer
A Recall-Based Cluster Formation Game in Peer-to-Peer Systems (GK, EP), pp. 455–466.
VLDBVLDB-2009-MullerGAS
Evaluating Clustering in Subspace Projections of High Dimensional Data (EM, SG, IA, TS), pp. 1270–1281.
VLDBVLDB-2009-ZhouCY #graph
Graph Clustering Based on Structural/Attribute Similarities (YZ, HC, JXY), pp. 718–729.
EDMEDM-2009-NugentAD #identification #student
Subspace Clustering of Skill Mastery: Identifying Skills that Separate Students (RN, EA, ND), pp. 101–110.
CSMRCSMR-2009-BittencourtG #algorithm #architecture #comparison #graph
Comparison of Graph Clustering Algorithms for Recovering Software Architecture Module Views (RAB, DDSG), pp. 251–254.
CSMRCSMR-2009-PatelHR #dependence #dynamic analysis #using
Software Clustering Using Dynamic Analysis and Static Dependencies (CP, AHL, JR), pp. 27–36.
ICPCICPC-2009-HanWYCZL #comprehension #design pattern #open source #source code
Design pattern directed clustering for understanding open source code (ZH, LW, LY, XC, JZ, XL), pp. 295–296.
ICPCICPC-2009-ShternT #algorithm
Methods for selecting and improving software clustering algorithms (MS, VT), pp. 248–252.
ICSMEICSM-2009-FokaefsTCS #object-oriented #using
Decomposing object-oriented class modules using an agglomerative clustering technique (MF, NT, AC, JS), pp. 93–101.
ICSMEICSM-2009-ShternT #evaluation #using
Refining clustering evaluation using structure indicators (MS, VT), pp. 297–305.
SCAMSCAM-2009-BinkleyH #dependence #identification #scalability
Identifying “Linchpin Vertices” That Cause Large Dependence Clusters (DB, MH), pp. 89–98.
WCREWCRE-1999-AnquetilL99b #years after
Ten Years Later, Experiments with Clustering as a Software Remodularization Method (NA, TCL), p. 7.
WCREWCRE-1999-VanyaKRV99a
Characterizing Evolutionary Clusters (AV, SK, NvR, HvV), pp. 227–236.
DLTDLT-2009-BealP #automaton #bound #polynomial #word
A Quadratic Upper Bound on the Size of a Synchronizing Word in One-Cluster Automata (MPB, DP), pp. 81–90.
ICALPICALP-v1-2009-AilonL #correlation #cost analysis #fault #problem
Correlation Clustering Revisited: The “True” Cost of Error Minimization Problems (NA, EL), pp. 24–36.
CHICHI-2009-BergstromK #human-computer #topic
Conversation clusters: grouping conversation topics through human-computer dialog (TB, KK), pp. 2349–2352.
CHICHI-2009-SchrammelLT #empirical #evaluation #semantics
Semantically structured tag clouds: an empirical evaluation of clustered presentation approaches (JS, ML, MT), pp. 2037–2040.
HCIDHM-2009-NiuLX #3d
Comparisons of 3D Shape Clustering with Different Face Area Definitions (JN, ZL, SX), pp. 55–63.
HCIDHM-2009-NiuLX09a #3d
Block Division for 3D Head Shape Clustering (JN, ZL, SX), pp. 64–71.
HCIHIMI-DIE-2009-DumanHG #adaptation #visual notation
Adaptive Visual Clustering for Mixed-Initiative Information Structuring (HD, AH, RAGH), pp. 384–393.
HCIHIMI-II-2009-AllamrajuC #documentation #heuristic #preprocessor
Enhancing Document Clustering through Heuristics and Summary-Based Pre-processing (SHA, RC), pp. 105–113.
HCIHIMI-II-2009-KimMC #network #protocol #using
A Hierarchical Data Dissemination Protocol Using Probability-Based Clustering for Wireless Sensor Networks (MK, MWM, HC), pp. 149–158.
ICEISICEIS-AIDSS-2009-KuoWHH #network #optimisation #order #using
An Order Clustering System using ART2 Neural Network and Particle Swarm Optimization Methodn (RJK, MJW, TWH, TLH), pp. 54–59.
ICEISICEIS-J-2009-GadK #performance #semantics #similarity #using
Enhancing Text Clustering Performance Using Semantic Similarity (WKG, MSK), pp. 325–335.
ICEISICEIS-J-2009-MohebiS #ambiguity #analysis #detection #hybrid #network #using
An Optimized Hybrid Kohonen Neural Network for Ambiguity Detection in Cluster Analysis Using Simulated Annealing (EM, MNMS), pp. 389–401.
CIKMCIKM-2009-AlonsoGB #timeline #using
Clustering and exploring search results using timeline constructions (OA, MG, RABY), pp. 97–106.
CIKMCIKM-2009-BalachandranPK #configuration management #dataset #documentation
Interpretable and reconfigurable clustering of document datasets by deriving word-based rules (VB, DP, DK), pp. 1773–1776.
CIKMCIKM-2009-BashirR #documentation #feedback #pseudo
Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection (SB, AR), pp. 1863–1866.
CIKMCIKM-2009-BohmNPW #using
Density-based clustering using graphics processors (CB, RN, CP, BW), pp. 661–670.
CIKMCIKM-2009-GurajadaK #maintenance #online #using
On-line index maintenance using horizontal partitioning (SG, PSK), pp. 435–444.
CIKMCIKM-2009-GuZ
Subspace maximum margin clustering (QG, JZ), pp. 1337–1346.
CIKMCIKM-2009-HeZSC #data type #multi #query #rank
Cluster based rank query over multidimensional data streams (DH, YZ, LS, GC), pp. 1493–1496.
CIKMCIKM-2009-HungP #network #predict
Clustering object moving patterns for prediction-based object tracking sensor networks (CCH, WCP), pp. 1633–1636.
CIKMCIKM-2009-HuSZC #semantics #using
Exploiting internal and external semantics for the clustering of short texts using world knowledge (XH, NS, CZ, TSC), pp. 919–928.
CIKMCIKM-2009-KurasawaFTA #metric #similarity
Maximal metric margin partitioning for similarity search indexes (HK, DF, AT, JA), pp. 1887–1890.
CIKMCIKM-2009-KuttyNL #approach #documentation #named #using #xml
XCFS: an XML documents clustering approach using both the structure and the content (SK, RN, YL), pp. 1729–1732.
CIKMCIKM-2009-LiuZSNW #documentation #query #ranking
Clustering queries for better document ranking (YL, LZ, RS, JYN, JRW), pp. 1569–1572.
CIKMCIKM-2009-LuCP #network #social #web
Exploit the tripartite network of social tagging for web clustering (CL, XC, EKP), pp. 1545–1548.
CIKMCIKM-2009-MomtaziK #approach #modelling #retrieval #word
A word clustering approach for language model-based sentence retrieval in question answering systems (SM, DK), pp. 1911–1914.
CIKMCIKM-2009-PuH #feedback #pseudo #semantics #using
Pseudo relevance feedback using semantic clustering in relevance language model (QP, DH), pp. 1931–1934.
CIKMCIKM-2009-StoyanovichA #dataset
Rank-aware clustering of structured datasets (JS, SAY), pp. 1429–1432.
CIKMCIKM-2009-WangCH #algorithm #performance #scalability #topic #web
An efficient clustering algorithm for large-scale topical web pages (LW, PC, LH), pp. 1851–1854.
CIKMCIKM-2009-WhissellCA #query #web
Clustering web queries (JSW, CLAC, AA), pp. 899–908.
CIKMCIKM-2009-WuZH
Fragment-based clustering ensembles (OW, MZ, WH), pp. 1795–1798.
ECIRECIR-2009-ParaparB #algorithm #documentation #evaluation
Evaluation of Text Clustering Algorithms with N-Gram-Based Document Fingerprints (JP, AB), pp. 645–653.
ICMLICML-2009-BuhlerH #graph
Spectral clustering based on the graph p-Laplacian (TB, MH), pp. 81–88.
ICMLICML-2009-ChaudhuriKLS #analysis #canonical #correlation #multi
Multi-view clustering via canonical correlation analysis (KC, SMK, KL, KS), pp. 129–136.
ICMLICML-2009-DeodharGGCD #framework #scalability #semistructured data
A scalable framework for discovering coherent co-clusters in noisy data (MD, GG, JG, HC, ISD), pp. 241–248.
ICMLICML-2009-GiesekePK #performance
Fast evolutionary maximum margin clustering (FG, TP, OK), pp. 361–368.
ICMLICML-2009-HaiderS #detection #email
Bayesian clustering for email campaign detection (PH, TS), pp. 385–392.
ICMLICML-2009-NguyenEB #comparison #metric #question
Information theoretic measures for clusterings comparison: is a correction for chance necessary? (XVN, JE, JB), pp. 1073–1080.
ICMLICML-2009-NowozinJ #graph #learning #linear #programming
Solution stability in linear programming relaxations: graph partitioning and unsupervised learning (SN, SJ), pp. 769–776.
ICMLICML-2009-StreichFBB #multi
Multi-assignment clustering for Boolean data (APS, MF, DAB, JMB), pp. 969–976.
KDDKDD-2009-AndoS #detection
Detection of unique temporal segments by information theoretic meta-clustering (SA, ES), pp. 59–68.
KDDKDD-2009-BekkermanSV #combinator
Improving clustering stability with combinatorial MRFs (RB, MS, KV), pp. 99–108.
KDDKDD-2009-DaruruMWG #data flow #data mining #mining #parallel #pervasive #scalability
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data (SD, NMM, MW, JG), pp. 1115–1124.
KDDKDD-2009-GuZ
Co-clustering on manifolds (QG, JZ), pp. 359–368.
KDDKDD-2009-HuZLPZ #documentation #wiki
Exploiting Wikipedia as external knowledge for document clustering (XH, XZ, CL, EKP, XZ), pp. 389–396.
KDDKDD-2009-LeeHNW #query
Query result clustering for object-level search (JL, SwH, ZN, JRW), pp. 1205–1214.
KDDKDD-2009-MakanjuZM #using
Clustering event logs using iterative partitioning (AM, ANZH, EEM), pp. 1255–1264.
KDDKDD-2009-PandeyASMK #analysis #approach
An association analysis approach to biclustering (GP, GA, MS, CLM, VK), pp. 677–686.
KDDKDD-2009-QiD #flexibility #framework
A principled and flexible framework for finding alternative clusterings (ZQ, ID), pp. 717–726.
KDDKDD-2009-SatuluriP #community #graph #probability #scalability #using
Scalable graph clustering using stochastic flows: applications to community discovery (VS, SP), pp. 737–746.
KDDKDD-2009-SunYH #network
Ranking-based clustering of heterogeneous information networks with star network schema (YS, YY, JH), pp. 797–806.
KDDKDD-2009-WuXC #adaptation #metric
Adapting the right measures for K-means clustering (JW, HX, JC), pp. 877–886.
KDDKDD-2009-YanHJ #approximate #performance
Fast approximate spectral clustering (DY, LH, MIJ), pp. 907–916.
KDIRKDIR-2009-CamposDJ #topic #web
Disambiguating Web Search Results by Topic and Temporal Clustering — A Proposal (RC, GD, AMJ), pp. 292–296.
KDIRKDIR-2009-DuarteDRF #consistency #using
Cluster Ensemble Selection — Using Average Cluster Consistency (FJFD, JMMD, FR, ALNF), pp. 85–95.
KDIRKDIR-2009-SilvestreCF #category theory #modelling
Selecting Categorical Features in Model-based Clustering (CMVS, MMGSC, MATF), pp. 303–306.
KDIRKDIR-2009-SzekelyBM
Unsupervised Discriminant Embedding in Cluster Spaces (ES, EB, SMM), pp. 70–76.
KEODKEOD-2009-YiR #algorithm #ontology #using
Using a Clustering Algorithm for Domain Related Ontology Construction (HY, VJRS), pp. 336–341.
KMISKMIS-2009-GindiyehGHA
Linguistically Enhanced Clustering of Technical Publications (MG, GG, JH, AA), pp. 324–327.
MLDMMLDM-2009-AbdalaJ #approach
An Evidence Accumulation Approach to Constrained Clustering Combination (DDA, XJ), pp. 361–371.
MLDMMLDM-2009-BenabdeslemS #approach #probability
A Probabilistic Approach for Constrained Clustering with Topological Map (KB, JS), pp. 413–426.
MLDMMLDM-2009-CzarnowskiJ #distributed
Agent-Based Non-distributed and Distributed Clustering (IC, PJ), pp. 347–360.
MLDMMLDM-2009-GadK #semantics #similarity #using
New Semantic Similarity Based Model for Text Clustering Using Extended Gloss Overlaps (WKG, MSK), pp. 663–677.
MLDMMLDM-2009-SakaiI #performance #random
Fast Spectral Clustering with Random Projection and Sampling (TS, AI), pp. 372–384.
MLDMMLDM-2009-SarmentoKOU #performance #set
Efficient Clustering of Web-Derived Data Sets (LS, AK, ECO, LHU), pp. 398–412.
MLDMMLDM-2009-SmaouiMM #algorithm #assessment #named #quality
CSBIterKmeans: A New Clustering Algorithm Based on Quantitative Assessment of the Clustering Quality (TS, SM, CMS), pp. 337–346.
RecSysRecSys-2009-GansnerHKV #recommendation #visualisation
Putting recommendations on the map: visualizing clusters and relations (ERG, YH, SGK, CV), pp. 345–348.
RecSysRecSys-2009-Nnadi #correlation #multi #recommendation #set
Applying relevant set correlation clustering to multi-criteria recommender systems (NN), pp. 401–404.
SEKESEKE-2009-ChaoS #data type #privacy
Privacy-preserving Clustering of Data Streams (CMC, CCS), pp. 530–535.
SEKESEKE-2009-DoranG #web
Classifying Web Robots by K-means Clustering (DD, SSG), pp. 97–102.
SEKESEKE-2009-JiCXZ #analysis #novel
A Novel Method of Mutation Clustering Based on Domain Analysis (CJ, ZC, BX, ZZ), pp. 422–425.
SEKESEKE-2009-RuhelaR #documentation #web
Improving Text Document Clustering by Exploiting Open Web Directory (GR, PKR), pp. 87–92.
SEKESEKE-2009-RusNSC #algorithm #fault #graph #using
Clustering of Defect Reports Using Graph Partitioning Algorithms (VR, XN, SGS, YC), pp. 442–445.
SIGIRSIGIR-2009-AmbaiY #image #multi #ranking #set #visual notation
Multiclass VisualRank: image ranking method in clustered subsets based on visual features (MA, YY), pp. 732–733.
SIGIRSIGIR-2009-BrunoM #approach #modelling #multi #using
Multiview clustering: a late fusion approach using latent models (EB, SMM), pp. 736–737.
SIGIRSIGIR-2009-CarmelRZ #using #wiki
Enhancing cluster labeling using wikipedia (DC, HR, NZ), pp. 139–146.
SIGIRSIGIR-2009-GongO #ambiguity #web
Selecting hierarchical clustering cut points for web person-name disambiguation (JG, DWO), pp. 778–779.
SIGIRSIGIR-2009-KalmanovichK #query
Cluster-based query expansion (IGK, OK), pp. 646–647.
SIGIRSIGIR-2009-KeSM #effectiveness #online
Dynamicity vs. effectiveness: studying online clustering for scatter/gather (WK, CRS, JM), pp. 19–26.
SIGIRSIGIR-2009-MeisterKK #documentation #retrieval
Integrating clusters created offline with query-specific clusters for document retrieval (LM, OK, IGK), pp. 706–707.
SIGIRSIGIR-2009-MonzW #ambiguity #comparison
A comparison of retrieval-based hierarchical clustering approaches to person name disambiguation (CM, WW), pp. 650–651.
SIGIRSIGIR-2009-VriesG #documentation #named #scalability
K-tree: large scale document clustering (CMDV, SG), pp. 718–719.
REFSQREFSQ-2009-LiRFM #composition #design #question #requirements
Does Requirements Clustering Lead to Modular Design? (ZL, QAR, RF, NHM), pp. 233–239.
ASEASE-2009-BarnatBS #ltl #model checking
Cluster-Based I/O-Efficient LTL Model Checking (JB, LB, PS), pp. 635–639.
ASEASE-2009-CassellAGN #automation #towards #using
Towards Automating Class-Splitting Using Betweenness Clustering (KC, PA, LG, JN), pp. 595–599.
ASEASE-2009-GuldaliFJSE #automation #requirements #testing #using
Semi-automated Test Planning for e-ID Systems by Using Requirements Clustering (BG, HF, MJ, SS, GE), pp. 29–39.
ESEC-FSEESEC-FSE-2009-VangalaCT #comparison #execution #testing #using
Test case comparison and clustering using program profiles and static execution (VV, JC, PT), pp. 293–294.
SACSAC-2009-ChaovalitG #data type
A method for clustering transient data streams (PC, AG), pp. 1518–1519.
SACSAC-2009-ChiangWLC #multi #policy #web
New content-aware request distribution policies in web clusters providing multiple services (MLC, CHW, YJL, YFC), pp. 79–83.
SACSAC-2009-CorderoVB #framework
A new protein motif extraction framework based on constrained co-clustering (FC, AV, MB), pp. 776–781.
SACSAC-2009-FodehPT #documentation #semantics #statistics
Combining statistics and semantics via ensemble model for document clustering (SJF, WFP, PNT), pp. 1446–1450.
SACSAC-2009-JangYC #algorithm #multi #set
A smart clustering algorithm for photo set obtained from multiple digital cameras (CJJ, TY, HGC), pp. 1784–1791.
SACSAC-2009-KumarZ #graph #visualisation
Visualization of clustered directed acyclic graphs with node interleaving (PK, KZ), pp. 1800–1805.
SACSAC-2009-KuuskeriM #web
Partitioning web applications between the server and the client (JK, TM), pp. 647–652.
SACSAC-2009-PetrucciLM #adaptation #framework #power management
A framework for dynamic adaptation of power-aware server clusters (VP, OL, DM), pp. 1034–1039.
SACSAC-2009-RajgurePBH #network #self #transaction
Geographical data collection in sensor networks with self-organizing transaction cluster-heads (NR, EP, CB, SH), pp. 1214–1218.
SACSAC-2009-WeiSW #algorithm #email #fuzzy #novel #string
Clustering malware-generated spam emails with a novel fuzzy string matching algorithm (CW, AS, GW), pp. 889–890.
SACSAC-2009-ZhangCCW #image #visual notation
Revealing common sources of image spam by unsupervised clustering with visual features (CZ, WbC, XC, GW), pp. 891–892.
ASPLOSASPLOS-2009-CaulfieldGS #data-driven #memory management #named #performance #power management #using
Gordon: using flash memory to build fast, power-efficient clusters for data-intensive applications (AMC, LMG, SS), pp. 217–228.
CASECASE-2009-GargM #agile #algorithm #named #using
RACK: RApid clustering using K-means algorithm (VKG, MNM), pp. 621–626.
CASECASE-2009-Morrison #modelling #process #tool support
Regular flow line models for semiconductor cluster tools: A case of lot dependent process times (JRM), pp. 561–566.
CASECASE-2009-VeilumuthuR #query
Intent based clustering of search engine query log (AV, PR), pp. 647–652.
CASECASE-2009-WuCCZ #approach #novel #scheduling #tool support
A novel approach to scheduling of single-arm cluster tools with wafer revisiting (NW, FC, CC, MZ), pp. 567–572.
DACDAC-2009-SarbisheiAF #heuristic #optimisation #polynomial #using
Polynomial datapath optimization using partitioning and compensation heuristics (OS, BA, MF), pp. 931–936.
DATEDATE-2009-LombardiMB #manycore #realtime #robust #scheduling
Robust non-preemptive hard real-time scheduling for clustered multicore platforms (ML, MM, LB), pp. 803–808.
DATEDATE-2009-LongLFDY #adaptation #energy #network
Energy-efficient spatially-adaptive clustering and routing in wireless sensor networks (HL, YL, XF, RPD, HY), pp. 1267–1272.
DATEDATE-2009-SathanurPBMM #design #variability
Physically clustered forward body biasing for variability compensation in nanometer CMOS design (AVS, AP, LB, GDM, EM), pp. 154–159.
HPDCHPDC-2009-AssuncaoCB #capacity #in the cloud #using
Evaluating the cost-benefit of using cloud computing to extend the capacity of clusters (MDdA, AdC, RB), pp. 141–150.
HPDCHPDC-2009-YiMEJT #abstraction #manycore #parallel
Harnessing parallelism in multicore clusters with the all-pairs and wavefront abstractions (LY, CM, SJE, KJ, DT), pp. 1–10.
PDPPDP-2009-AchourNS #adaptation #algorithm #modelling #on the #performance #using
On the Use of Performance Models for Adaptive Algorithm Selection on Heterogeneous Clusters (SA, WN, LAS), pp. 85–89.
PDPPDP-2009-MurphyFG
Virtual Organization Clusters (MAM, MF, SG), pp. 401–408.
PDPPDP-2009-RabenseifnerHJ #hybrid #manycore #parallel #programming
Hybrid MPI/OpenMP Parallel Programming on Clusters of Multi-Core SMP Nodes (RR, GH, GJ), pp. 427–436.
PDPPDP-2009-TuFZZ #manycore #message passing #modelling
Accurate Analytical Models for Message Passing on Multi-core Clusters (BT, JF, JZ, XZ), pp. 133–139.
SOSPSOSP-2009-ClementKLWADR
Upright cluster services (AC, MK, SL, YW, LA, MD, TR), pp. 277–290.
SOSPSOSP-2009-IsardPCWTG #distributed #named #scheduling
Quincy: fair scheduling for distributed computing clusters (MI, VP, JC, UW, KT, AG), pp. 261–276.
ICSTICST-2009-LuoPC #testing #web
Clustering and Tailoring User Session Data for Testing Web Applications (XL, FP, MHC), pp. 336–345.
ISSTAISSTA-2009-YooHTS #effectiveness #scalability #testing
Clustering test cases to achieve effective and scalable prioritisation incorporating expert knowledge (SY, MH, PT, AS), pp. 201–212.
ICSTSAT-2009-OhmuraU #named #parallel #satisfiability
c-sat: A Parallel SAT Solver for Clusters (KO, KU), pp. 524–537.
DRRDRR-2008-FumeI #analysis #categorisation #documentation #modelling #semantics
Model-based document categorization employing semantic pattern analysis and local structure clustering (KF, YI), p. 68150.
PODSPODS-2008-AnagnostopoulosDK #algorithm #approximate
Approximation algorithms for co-clustering (AA, AD, RK), pp. 201–210.
PODSPODS-2008-CormodeM #algorithm #approximate #nondeterminism
Approximation algorithms for clustering uncertain data (GC, AM), pp. 191–200.
SIGMODSIGMOD-2008-BohmFP #component #independence #using
Outlier-robust clustering using independent components (CB, CF, CP), pp. 185–198.
SIGMODSIGMOD-2008-EadonCSRSD
Supporting table partitioning by reference in oracle (GE, EIC, SS, AR, JS, SD), pp. 1111–1122.
SIGMODSIGMOD-2008-JohnsonMSS #data type #monitoring #network
Query-aware partitioning for monitoring massive network data streams (TJ, SMM, VS, OS), pp. 1135–1146.
SIGMODSIGMOD-2008-MitraWH #documentation #lifecycle
Query-based partitioning of documents and indexes for information lifecycle management (SM, MW, WWH), pp. 623–636.
SIGMODSIGMOD-2008-PanZW #composition #dataset #matrix #named #performance #scalability
CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition (FP, XZ, WW), pp. 173–184.
SIGMODSIGMOD-2008-VlachouDK #parallel #performance
Angle-based space partitioning for efficient parallel skyline computation (AV, CD, YK), pp. 227–238.
VLDBVLDB-2008-ChengHV
Constrained locally weighted clustering (HC, KAH, KV), pp. 90–101.
VLDBVLDB-2008-DeWittPRNRSK #data transformation #named
Clustera: an integrated computation and data management system (DJD, EP, ER, JFN, JR, SS, AK), pp. 28–41.
VLDBVLDB-2008-KriegelKZ #correlation #detection
Detecting clusters in moderate-to-high dimensional data: subspace clustering, pattern-based clustering, and correlation clustering (HPK, PK, AZ), pp. 1528–1529.
VLDBVLDB-2008-LeeHLG #classification #named #using
TraClass: trajectory classification using hierarchical region-based and trajectory-based clustering (JGL, JH, XL, HG), pp. 1081–1094.
VLDBVLDB-2008-SoundararajanCSA
Dynamic partitioning of the cache hierarchy in shared data centers (GS, JC, MAS, CA), pp. 635–646.
EDMEDM-2008-AyersND #set #student
Skill Set Profile Clustering Based on Weighted Student Responses (EA, RN, ND), pp. 210–217.
CSMRCSMR-2008-KanellopoulosTHV #maintenance #source code
Interpretation of Source Code Clusters in Terms of the ISO/IEC-9126 Maintainability Characteristics (YK, CT, IH, JV), pp. 63–72.
ICPCICPC-2008-VanyaHKLV
Assessing Software Archives with Evolutionary Clusters (AV, LH, SK, PvdL, HvV), pp. 192–201.
WCREWCRE-2008-HayesAG #analysis #named
PREREQIR: Recovering Pre-Requirements via Cluster Analysis (JHH, GA, YGG), pp. 165–174.
WCREWCRE-2008-RobillardD
Retrieving Task-Related Clusters from Change History (MPR, BD), pp. 17–26.
ICGTICGT-2008-Hammoudeh #modelling #network
Modelling Clustering of Sensor Networks with Synchronised Hyperedge Replacement (MH), pp. 490–492.
SOFTVISSOFTVIS-2008-DietrichYMJD #analysis #dependence #graph #java
Cluster analysis of Java dependency graphs (JD, VY, CM, GJ, MD), pp. 91–94.
SOFTVISSOFTVIS-2008-ZeckzerKSHK #3d #communication #graph #reliability #using #visualisation
Analyzing the reliability of communication between software entities using a 3D visualization of clustered graphs (DZ, RK, LS, HH, TK), pp. 37–46.
ICEISICEIS-AIDSS-2008-ChengSZ #realtime
Real Time Clustering Model (JC, MRS, MRZ), pp. 235–240.
ICEISICEIS-AIDSS-2008-MarinakisMMZ #algorithm
A Memetic-Grasp Algorithm for Clustering (YM, MM, NFM, CZ), pp. 36–43.
ICEISICEIS-AIDSS-2008-MatiasMMR #automation #visual notation
Semi-Automatic Partitioning by Visual Snapshopts (RM, JPM, PM, FR), pp. 78–86.
ICEISICEIS-AIDSS-2008-PanahiT #hybrid #performance #problem
An Efficient Hybrid Method for Clustering Problems (HP, RTM), pp. 288–294.
CIKMCIKM-2008-AlqadahB #algorithm #effectiveness #mining
An effective algorithm for mining 3-clusters in vertically partitioned data (FA, RB), pp. 1103–1112.
CIKMCIKM-2008-AlqadahB08a #detection #set
Detecting significant distinguishing sets among bi-clusters (FA, RB), pp. 1455–1456.
CIKMCIKM-2008-AnnexsteinS #collaboration #user satisfaction
Collaborative partitioning with maximum user satisfaction (FSA, SS), pp. 1445–1446.
CIKMCIKM-2008-AssentKMS #named #performance
EDSC: efficient density-based subspace clustering (IA, RK, EM, TS), pp. 1093–1102.
CIKMCIKM-2008-BekkermanS #scalability #state of the art #weaving
Data weaving: scaling up the state-of-the-art in data clustering (RB, MS), pp. 1083–1092.
CIKMCIKM-2008-BordognaCPR #documentation #web
A language for manipulating clustered web documents results (GB, AC, GP, SR), pp. 23–32.
CIKMCIKM-2008-BoutsidisSA #metric #set
Clustered subset selection and its applications on it service metrics (CB, JS, NA), pp. 599–608.
CIKMCIKM-2008-ChenWD #approach #documentation
A matrix-based approach for semi-supervised document co-clustering (YC, LW, MD), pp. 1523–1524.
CIKMCIKM-2008-DuanCM #approach #requirements
A consensus based approach to constrained clustering of software requirements (CD, JCH, BM), pp. 1073–1082.
CIKMCIKM-2008-KimPAG #documentation
An extension of PLSA for document clustering (YMK, JFP, MRA, PG), pp. 1345–1346.
CIKMCIKM-2008-LeeL #data type #multi #online
A coarse-grain grid-based subspace clustering method for online multi-dimensional data streams (JWL, WSL), pp. 1521–1522.
CIKMCIKM-2008-ParaparB
Winnowing-based text clustering (JP, AB), pp. 1353–1354.
CIKMCIKM-2008-PengLS #adaptation #multi
Clustering multi-way data via adaptive subspace iteration (WP, TL, BS), pp. 1519–1520.
CIKMCIKM-2008-WangZLCG #comprehension #documentation #multi #summary
Integrating clustering and multi-document summarization to improve document understanding (DW, SZ, TL, YC, YG), pp. 1435–1436.
ECIRECIR-2008-Gottron #documentation #web
Clustering Template Based Web Documents (TG), pp. 40–51.
ECIRECIR-2008-NaKL08a #ranking #retrieval
Structural Re-ranking with Cluster-Based Retrieval (SHN, ISK, JHL), pp. 658–662.
ECIRECIR-2008-RaftopoulouP #information retrieval #named #network #self
iCluster: A Self-organizing Overlay Network for P2P Information Retrieval (PR, EGMP), pp. 65–76.
ECIRECIR-2008-WeiLLH #graph #multi #query #summary
A Cluster-Sensitive Graph Model for Query-Oriented Multi-document Summarization (FW, WL, QL, YH), pp. 446–453.
ICMLICML-2008-ColemanSW #consistency
Spectral clustering with inconsistent advice (TC, JS, AW), pp. 152–159.
ICMLICML-2008-CrammerTP
A rate-distortion one-class model and its applications to clustering (KC, PPT, FCNP), pp. 184–191.
ICMLICML-2008-DaiYXY #self
Self-taught clustering (WD, QY, GRX, YY), pp. 200–207.
ICMLICML-2008-SeldinT #category theory #classification #multi
Multi-classification by categorical features via clustering (YS, NT), pp. 920–927.
ICMLICML-2008-ZhaoWZ #multi #performance
Efficient multiclass maximum margin clustering (BZ, FW, CZ), pp. 1248–1255.
ICPRICPR-2008-AsgharbeygiM
Geodesic K-means clustering (NA, AM), pp. 1–4.
ICPRICPR-2008-Basak #adaptation #framework #online
Online adaptive clustering in a decision tree framework (JB), pp. 1–4.
ICPRICPR-2008-BucakG #incremental #matrix
Incremental clustering via nonnegative matrix factorization (SSB, BG), pp. 1–4.
ICPRICPR-2008-CarulloBGL #documentation #web
Clustering of short commercial documents for the web (MC, EB, IG, NL), pp. 1–4.
ICPRICPR-2008-ChangFLI #detection #kernel #multi
Clustered Microcalcification detection based on a Multiple Kernel Support Vector Machine with Grouped Features (GF-SVM) (TTC, JF, HWL, HHSI), pp. 1–4.
ICPRICPR-2008-ChangLAH #clique #constraints #using
Unsupervised clustering using hyperclique pattern constraints (YC, DJL, JKA, YH), pp. 1–4.
ICPRICPR-2008-ChengWL #categorisation #sequence
Dual clustering for categorization of action sequences (JC, LW, CL), pp. 1–4.
ICPRICPR-2008-Cleuziou
An extended version of the k-means method for overlapping clustering (GC), pp. 1–4.
ICPRICPR-2008-GuptaR #approach #multi
A microeconomic approach to multi-objective spatial clustering (UG, NR), pp. 1–4.
ICPRICPR-2008-HautamakiNF #approximate #prototype
Time-series clustering by approximate prototypes (VH, PN, PF), pp. 1–4.
ICPRICPR-2008-HortaMF #algorithm #comparison #image #using
A comparison of clustering fully polarimetric SAR images using SEM algorithm and G0P mixture modelwith different initializations (MMH, NDAM, ACF), pp. 1–4.
ICPRICPR-2008-HuaSY #algorithm #invariant
Scale-invariant density-based clustering initialization algorithm and its application (CH, RS, YY), pp. 1–4.
ICPRICPR-2008-HuiW #linear
Clustering-based locally linear embedding (KH, CW), pp. 1–4.
ICPRICPR-2008-HuSM #categorisation #using
Categorization using semi-supervised clustering (JH, MS, AM), pp. 1–4.
ICPRICPR-2008-KashimaHRS #distance #using
K-means clustering of proportional data using L1 distance (HK, JH, BKR, MS), pp. 1–4.
ICPRICPR-2008-LeKM #graph
Coring method for clustering a graph (TVL, CAK, IBM), pp. 1–4.
ICPRICPR-2008-LezorayTE #graph
Impulse noise removal by spectral clustering and regularization on graphs (OL, VTT, AE), pp. 1–4.
ICPRICPR-2008-LiZWH #analysis #multi
Multiclass spectral clustering based on discriminant analysis (XL, ZZ, YW, WH), pp. 1–4.
ICPRICPR-2008-MirzaeiR #transitive #using
Combining hierarchical clusterings using min-transitive closure (AM, MR), pp. 1–4.
ICPRICPR-2008-OikeWW #adaptation
Adaptive selection of non-target cluster centers for K-means tracker (HO, HW, TW), pp. 1–4.
ICPRICPR-2008-ParkCDK #analysis #linear
Linear discriminant analysis for data with subcluster structure (HP, JC, BLD, JK), pp. 1–4.
ICPRICPR-2008-RothausJ #distance #graph #novel
Constrained clustering by a novel graph-based distance transformation (KR, XJ), pp. 1–4.
ICPRICPR-2008-SahaB #multi #symmetry #using
A new multiobjective simulated annealing based clustering technique using stability and symmetry (SS, SB), pp. 1–4.
ICPRICPR-2008-ShettyA #algorithm
A uniformity criterion and algorithm for data clustering (SS, NA), pp. 1–4.
ICPRICPR-2008-TanY #image #segmentation #towards
Image segmentation towards natural clusters (ZT, NHCY), pp. 1–4.
ICPRICPR-2008-TorselloBP
Beyond partitions: Allowing overlapping groups in pairwise clustering (AT, SRB, MP), pp. 1–4.
ICPRICPR-2008-WangWCW #algorithm #learning
A clustering algorithm combine the FCM algorithm with supervised learning normal mixture model (WW, CW, XC, AW), pp. 1–4.
ICPRICPR-2008-YousriKI #novel
A novel validity measure for clusters of arbitrary shapes and densities (NAY, MSK, MAI), pp. 1–4.
ICPRICPR-2008-YuW #3d #classification #knowledge base
Knowledge based cluster ensemble for 3D head model classification (ZY, HSW), pp. 1–4.
ICPRICPR-2008-ZhangW #order #ranking
Partial closure-based constrained clustering with order ranking (SZ, HSW), pp. 1–4.
ICPRICPR-2008-ZhangWZ
Clustering by evidence accumulation on affinity propagation (XZ, FW, YZ), pp. 1–4.
ICPRICPR-2008-ZhongYSCG #using
Hierarchical background subtraction using local pixel clustering (BZ, HY, SS, XC, WG), pp. 1–4.
KDDKDD-2008-HuangDLL #equivalence #higher-order
Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering (HH, CHQD, DL, TL), pp. 327–335.
KDDKDD-2008-MoiseS #approach #novel #statistics
Finding non-redundant, statistically significant regions in high dimensional data: a novel approach to projected and subspace clustering (GM, JS), pp. 533–541.
KDDKDD-2008-MullerAKJS #interactive #named
Morpheus: interactive exploration of subspace clustering (EM, IA, RK, TJ, TS), pp. 1089–1092.
KDDKDD-2008-WalkerR #documentation #modelling
Model-based document clustering with a collapsed gibbs sampler (DDW, EKR), pp. 704–712.
KDDKDD-2008-WuXC #incremental #learning #named
SAIL: summation-based incremental learning for information-theoretic clustering (JW, HX, JC), pp. 740–748.
RecSysRecSys-2008-ShepitsenGMB #personalisation #recommendation #social #using
Personalized recommendation in social tagging systems using hierarchical clustering (AS, JG, BM, RDB), pp. 259–266.
SEKESEKE-2008-RusMS #automation #fault
Automatic Clustering of Defect Reports (VR, SM, SGS), pp. 291–296.
SEKESEKE-2008-WuSF #mining #re-engineering
Discovering Meaningful Clusters from Mining the Software Engineering Literature (YW, HPS, LF), pp. 613–618.
SIGIRSIGIR-2008-AvrachenkovDNPS #documentation #hypermedia #rank
Pagerank based clustering of hypertext document collections (KA, VD, DN, SKP, ES), pp. 873–874.
SIGIRSIGIR-2008-ChenJYW #debugging #information retrieval #learning
Information retrieval on bug locations by learning co-located bug report clusters (IXC, HJ, CZY, PJW), pp. 801–802.
SIGIRSIGIR-2008-DingLLP #probability #using
Posterior probabilistic clustering using NMF (CHQD, TL, DL, WP), pp. 831–832.
SIGIRSIGIR-2008-HuFCZLYC #semantics #wiki
Enhancing text clustering by leveraging Wikipedia semantics (JH, LF, YC, HJZ, HL, QY, ZC), pp. 179–186.
SIGIRSIGIR-2008-HuXZSL #clique #documentation #perspective
Hypergraph partitioning for document clustering: a unified clique perspective (TH, HX, WZ, SYS, HL), pp. 871–872.
SIGIRSIGIR-2008-Kurland #approach #documentation #ranking
The opposite of smoothing: a language model approach to ranking query-specific document clusters (OK), pp. 171–178.
SIGIRSIGIR-2008-KurlandD #approach
A rank-aggregation approach to searching for optimal query-specific clusters (OK, CD), pp. 547–554.
SIGIRSIGIR-2008-LeeCA #feedback #pseudo
A cluster-based resampling method for pseudo-relevance feedback (KSL, WBC, JA), pp. 235–242.
SIGIRSIGIR-2008-LiuLLJ #geometry #query #ranking
Spectral geometry for simultaneously clustering and ranking query search results (YL, WL, YL, LJ), pp. 539–546.
SIGIRSIGIR-2008-WanY #analysis #multi #summary #using
Multi-document summarization using cluster-based link analysis (XW, JY), pp. 299–306.
SIGIRSIGIR-2008-YasukawaY #mobile
Clustering search results for mobile terminals (MY, HY), p. 880.
SIGIRSIGIR-2008-ZhangHZ #comparative #documentation #evaluation
A comparative evaluation of different link types on enhancing document clustering (XZ, XH, XZ), pp. 555–562.
SPLCSPLC-2008-NiuE #analysis #functional #on-demand #product line #requirements
On-Demand Cluster Analysis for Product Line Functional Requirements (NN, SME), pp. 87–96.
AdaEuropeAdaEurope-2008-UruenaPLZP #approach #memory management
A New Approach to Memory Partitioning in On-Board Spacecraft Software (SU, JAP, JL, JZ, JAdlP), pp. 1–14.
ASEASE-2008-AdnanGDZ #analysis #component #design #interface #using
Using Cluster Analysis to Improve the Design of Component Interfaces (RA, BG, AvD, JZ), pp. 383–386.
ASEASE-2008-ZhangGC #analysis #automation #recommendation
Automated Aspect Recommendation through Clustering-Based Fan-in Analysis (DZ, YG, XC), pp. 278–287.
SACSAC-2008-AntonellisMT #documentation #named #summary #using #xml
XEdge: clustering homogeneous and heterogeneous XML documents using edge summaries (PA, CM, NT), pp. 1081–1088.
SACSAC-2008-AquinoFNFLF #network #reduction
Sensor stream reduction for clustered wireless sensor networks (ALLdA, CMSF, EFN, ACF, AAFL, AOF), pp. 2052–2056.
SACSAC-2008-ChidlovskiiL08a #coordination #visual notation
Semi-supervised visual clustering for spherical coordinates systems (BC, LL), pp. 891–895.
SACSAC-2008-CostaMO #approach #modelling
A hierarchical model-based approach to co-clustering high-dimensional data (GC, GM, RO), pp. 886–890.
SACSAC-2008-KeeneyJRLO #knowledge-based #semantics
Knowledge-based semantic clustering (JK, DJ, DR, DL, DO), pp. 460–467.
SACSAC-2008-LeoneS #network #process #scalability
Interacting urns processes: for clustering of large-scale networks of tiny artifacts (PL, EMS), pp. 2046–2051.
SACSAC-2008-MattosLFM #documentation #framework #named #platform
BigBatch: a document processing platform for clusters and grids (GdOM, RDL, AdAF, FMJM), pp. 434–441.
SACSAC-2008-MeiraM #problem
A continuous facility location problem and its application to a clustering problem (LAAM, FKM), pp. 1826–1831.
SACSAC-2008-PalmaBKA #approach
A clustering-based approach for discovering interesting places in trajectories (ATP, VB, BK, LOA), pp. 863–868.
SACSAC-2008-SchobelP #case study #cpu #kernel #research #scheduling #using
Kernel-mode scheduling server for CPU partitioning: a case study using the Windows research kernel (MS, AP), pp. 1700–1704.
SACSAC-2008-SpinosaCG #concept #data type #detection #network #novel
Cluster-based novel concept detection in data streams applied to intrusion detection in computer networks (EJS, ACPLFdC, JG), pp. 976–980.
SACSAC-2008-SungCM #concept #learning #lifecycle #ontology #performance #using #web
Efficient concept clustering for ontology learning using an event life cycle on the web (SS, SC, DM), pp. 2310–2314.
ASPLOSASPLOS-2008-KulkarniPRWBC #parallel
Optimistic parallelism benefits from data partitioning (MK, KP, GR, BW, KB, LPC), pp. 233–243.
CASECASE-2008-BellurNB
Cost sharing mechanisms for business clusters with strategic firms (AB, YN, SB), pp. 1001–1006.
CASECASE-2008-ChanYDS #scheduling #tool support
Optimal scheduling of k-unit production of cluster tools with single-blade robots (WKC, JY, SD, DS), pp. 335–340.
CASECASE-2008-JungL #performance #scheduling #tool support
Efficient scheduling method based on an assignment model for robotized cluster tools (CJ, TEL), pp. 79–84.
CASECASE-2008-Kim #constraints
Stable schedule for a single-armed cluster tool with time constraints (JHK), pp. 97–102.
CASECASE-2008-PaekL #scheduling #strict #tool support
Optimal scheduling of dual-armed cluster tools without swap restriction (JHP, TEL), pp. 103–108.
CASECASE-2008-WuZPCC #constraints #modelling #petri net #process #realtime #tool support
Petri net modeling and real-time control of dual-arm cluster tools with residency time constraint and activity time variations (NW, MZ, SP, FC, CC), pp. 109–114.
DACDAC-2008-ElmWIZLM #reduction
Scan chain clustering for test power reduction (ME, HJW, MEI, CGZ, JL, NM), pp. 828–833.
DACDAC-2008-GoraczkoLLMPZ #embedded #energy #multi
Energy-optimal software partitioning in heterogeneous multiprocessor embedded systems (MG, JL, DL, SM, BP, FZ), pp. 191–196.
DACDAC-2008-LinL
Analog placement based on hierarchical module clustering (MPHL, SCL), pp. 50–55.
DACDAC-2008-SuhendraM #multi #predict
Exploring locking & partitioning for predictable shared caches on multi-cores (VS, TM), pp. 300–303.
DATEDATE-2008-LeinweberB #composition #fine-grained #reduction
Fine-Grained Supply Gating Through Hypergraph Partitioning and Shannon Decomposition for Active Power Reduction (LL, SB), pp. 373–378.
DATEDATE-2008-Schat #fault #process
Fault Clustering in deep-submicron CMOS Processes (JS), pp. 511–514.
DATEDATE-2008-XueSSQ #constraints #effectiveness #memory management #scheduling
Effective Loop Partitioning and Scheduling under Memory and Register Dual Constraints (CJX, EHMS, ZS, MQ), pp. 1202–1207.
HPCAHPCA-2008-LinLDZZS #manycore #simulation
Gaining insights into multicore cache partitioning: Bridging the gap between simulation and real systems (JL, QL, XD, ZZ, XZ, PS), pp. 367–378.
HPCAHPCA-2008-WangC #feedback #optimisation #performance
Cluster-level feedback power control for performance optimization (XW, MC), pp. 101–110.
HPDCHPDC-2008-YanR #automation #parallel #towards
Toward automatic parallelization of spatial computation for computing clusters (BY, PJR), pp. 45–54.
PDPPDP-2008-AldinucciTVZ #abstraction
The VirtuaLinux Storage Abstraction Layer for Ef?cient Virtual Clustering (MA, MT, MV, PZ), pp. 619–627.
PDPPDP-2008-AyusoGL #named #performance
FT-FW: Efficient Connection Failover in Cluster-based Stateful Firewalls (PNA, RMG, LL), pp. 573–580.
PDPPDP-2008-HeienFH #communication #parallel
Static Load Distribution for Communication Intensive Parallel Computing in Multiclusters (EMH, NF, KH), pp. 321–328.
PDPPDP-2008-LinC #algorithm #graph #internet #named #parallel #simulation
BC-GA: A Graph Partitioning Algorithm for Parallel Simulation of Internet Applications (SL, XC), pp. 358–365.
PDPPDP-2008-MarinB #crawling #online
Bulk-Synchronous On-Line Crawling on Clusters of Computers (MM, CB), pp. 414–421.
PPoPPPPoPP-2008-BocchinoAC #memory management #scalability #transaction
Software transactional memory for large scale clusters (RLBJ, VSA, BLC), pp. 247–258.
PPoPPPPoPP-2008-KejariwalNBVP
Cache-aware iteration space partitioning (AK, AN, UB, AVV, CDP), pp. 269–270.
STOCSTOC-2008-BalcanBV #framework #similarity
A discriminative framework for clustering via similarity functions (MFB, AB, SV), pp. 671–680.
STOCSTOC-2008-OrecchiaSVV #graph #on the
On partitioning graphs via single commodity flows (LO, LJS, UVV, NKV), pp. 461–470.
DRRDRR-2007-HeD #adaptation #corpus #retrieval
Combining text clustering and retrieval for corpus adaptation (FH, XD).
TPDLECDL-2007-Madsen #scalability
Large-Scale Clustering and Complete Facet and Tag Calculation (BAM), pp. 309–320.
HTHT-2007-GuerreroCPMM #approach #automation #semantics
Clustering as an approach to support the automatic definition of semantic hyperlinks (JACG, AAC, MdGCP, EVM, AAM), pp. 81–84.
ICDARICDAR-2007-GuoMBSR #approach #geometry #web
A General Approach for Partitioning Web Page Content Based on Geometric and Style Information (HFG, JM, YB, AS, IVR), pp. 929–933.
ICDARICDAR-2007-XiCLWSJ07a #segmentation
Character Line Segmentation Based on Feature Clustering (YX, YC, QL, LW, FS, DJ), pp. 402–406.
JCDLJCDL-2007-CheeS #community #documentation #using
Document clustering using small world communities (BWC, BRS), pp. 53–62.
JCDLJCDL-2007-TakedaT #named #performance #summary #using
UpdateNews: a news clustering and summarization system using efficient text processing (TT, AT), pp. 438–439.
PODSPODS-2007-ChierichettiPRSTU
Finding near neighbors through cluster pruning (FC, AP, PR, MS, AT, EU), pp. 103–112.
SIGMODSIGMOD-2007-LeeHW #framework
Trajectory clustering: a partition-and-group framework (JGL, JH, KYW), pp. 593–604.
SIGMODSIGMOD-2007-LiGLSZ #database #named #parallel
InfiniteDB: a pc-cluster based parallel massive database management system (JL, HG, JL, SS, WZ), pp. 899–909.
SIGMODSIGMOD-2007-LiWLWC #ranking
Supporting ranking and clustering as generalized order-by and group-by (CL, MW, LL, HW, KCCC), pp. 127–138.
SIGMODSIGMOD-2007-MiloZV #topic
Boosting topic-based publish-subscribe systems with dynamic clustering (TM, TZ, EV), pp. 749–760.
SIGMODSIGMOD-2007-YangDHP #named #relational #scalability
Map-reduce-merge: simplified relational data processing on large clusters (HcY, AD, RLH, DSPJ), pp. 1029–1040.
VLDBVLDB-2007-AbadiMMH #data transformation #scalability #semantics #using #web
Scalable Semantic Web Data Management Using Vertical Partitioning (DJA, AM, SM, KJH), pp. 411–422.
VLDBVLDB-2007-BansalCKT
Seeking Stable Clusters in the Blogosphere (NB, FC, NK, FWT), pp. 806–817.
VLDBVLDB-2007-BhattacharjeeMLMKBK #multi #performance
Efficient Bulk Deletes for Multi Dimensionally Clustered Tables in DB2 (BB, TM, SL, SM, JAK, RVB, JK), pp. 1197–1206.
WCREWCRE-J-2005-AndreopoulosATW07 #multi #scalability
Clustering large software systems at multiple layers (BA, AA, VT, XW), pp. 244–254.
WCREWCRE-J-2005-ChristlKS07 #automation
Automated clustering to support the reflexion method (AC, RK, MADS), pp. 255–274.
WCREWCRE-J-2005-KuhnDG07 #identification #semantics #source code #topic
Semantic clustering: Identifying topics in source code (AK, SD, TG), pp. 230–243.
MSRMSR-2007-HindleGH #case study
Release Pattern Discovery via Partitioning: Methodology and Case Study (AH, MWG, RCH), p. 19.
WCREWCRE-2007-SchaferAMMO #framework #generative
Clustering for Generating Framework Top-Level Views (TS, IA, MM, MM, KO), pp. 239–248.
CHICHI-2007-CuiWXTT #interactive #named #ranking
EasyAlbum: an interactive photo annotation system based on face clustering and re-ranking (JC, FW, RX, YT, XT), pp. 367–376.
CHICHI-2007-WangJHDZ #image #named #semantics #web
IGroup: presenting web image search results in semantic clusters (SW, FJ, JH, QD, LZ), pp. 587–596.
HCIDHM-2007-GeraciLMPR #algorithm #array #scalability
FPF-SB : A Scalable Algorithm for Microarray Gene Expression Data Clustering (FG, ML, MM, MP, MER), pp. 606–615.
ICEISICEIS-DISI-2007-SantosB #named #optimisation
PIN: A partitioning and indexing optimization method for olap (RJS, JB), pp. 170–177.
CIKMCIKM-2007-FanizzidE #concept #induction #knowledge base #metric #random #semantics
Randomized metric induction and evolutionary conceptual clustering for semantic knowledge bases (NF, Cd, FE), pp. 51–60.
CIKMCIKM-2007-LiA #approach #multi #named #relational
Diva: a variance-based clustering approach for multi-type relational data (TL, SSA), pp. 147–156.
CIKMCIKM-2007-ParkL #data type
Grid-based subspace clustering over data streams (NHP, WSL), pp. 801–810.
CIKMCIKM-2007-RosenfeldF #identification
Clustering for unsupervised relation identification (BR, RF), pp. 411–418.
CIKMCIKM-2007-TanMG #crawling #design #policy #web
Designing clustering-based web crawling policies for search engine crawlers (QT, PM, CLG), pp. 535–544.
ECIRECIR-2007-CachedaCPO #comparison #information retrieval #performance
Performance Comparison of Clustered and Replicated Information Retrieval Systems (FC, VC, VP, IO), pp. 124–135.
ECIRECIR-2007-DalmauF #approach
Experimental Results of the Signal Processing Approach to Distributional Clustering of Terms on Reuters-21578 Collection (MCD, ÓWMF), pp. 678–681.
ECIRECIR-2007-LiuYZQM #optimisation #performance #scalability
Fast Large-Scale Spectral Clustering by Sequential Shrinkage Optimization (TYL, HYY, XZ, TQ, WYM), pp. 319–330.
ECIRECIR-2007-RoullandKCRGPO #query #refinement #using
Query Reformulation and Refinement Using NLP-Based Sentence Clustering (FR, ANK, SC, CR, AG, KP, JO), pp. 210–221.
ECIRECIR-2007-SevillanoCAS #architecture #documentation #robust
A Hierarchical Consensus Architecture for Robust Document Clustering (XS, GC, FA, JCS), pp. 741–744.
ECIRECIR-2007-ZhuTZM #documentation #multi #probability
A Probabilistic Model for Clustering Text Documents with Multiple Fields (SZ, IT, SZ, HM), pp. 331–342.
ICMLICML-2007-AimeurBG #algorithm #quantum
Quantum clustering algorithms (EA, GB, SG), pp. 1–8.
ICMLICML-2007-BusseOB #analysis #rank
Cluster analysis of heterogeneous rank data (LMB, PO, JMB), pp. 113–120.
ICMLICML-2007-DavidsonR #constraints
Intractability and clustering with constraints (ID, SSR), pp. 201–208.
ICMLICML-2007-DingL #adaptation #analysis #reduction #using
Adaptive dimension reduction using discriminant analysis and K-means clustering (CHQD, TL), pp. 521–528.
ICMLICML-2007-GriraH #heuristic
Best of both: a hybridized centroid-medoid clustering heuristic (NG, MEH), pp. 313–320.
ICMLICML-2007-HaiderBS #detection #email #streaming
Supervised clustering of streaming data for email batch detection (PH, UB, TS), pp. 345–352.
ICMLICML-2007-LiCFX
Support cluster machine (BL, MC, JF, XX), pp. 505–512.
ICMLICML-2007-LongZWY #relational #symmetry
Relational clustering by symmetric convex coding (BL, Z(Z, XW, PSY), pp. 569–576.
ICMLICML-2007-NelsonC #constraints #modelling #probability
Revisiting probabilistic models for clustering with pair-wise constraints (BN, IC), pp. 673–680.
ICMLICML-2007-RattiganMJ #graph #network
Graph clustering with network structure indices (MJR, MEM, DJ), pp. 783–790.
ICMLICML-2007-SongSGB #dependence
A dependence maximization view of clustering (LS, AJS, AG, KMB), pp. 815–822.
ICMLICML-2007-ZhangTK
Maximum margin clustering made practical (KZ, IWT, JTK), pp. 1119–1126.
ICMLICML-2007-ZhouB #learning #multi
Spectral clustering and transductive learning with multiple views (DZ, CJCB), pp. 1159–1166.
KDDKDD-2007-AggarwalTWFZ #documentation #framework #named #xml
Xproj: a framework for projected structural clustering of xml documents (CCA, NT, JW, JF, MJZ), pp. 46–55.
KDDKDD-2007-BhagwatEM #corpus #documentation #scalability #similarity
Content-based document routing and index partitioning for scalable similarity-based searches in a large corpus (DB, KE, PM), pp. 105–112.
KDDKDD-2007-ChenT #realtime
Density-based clustering for real-time stream data (YC, LT), pp. 133–142.
KDDKDD-2007-ChenZYL #adaptation #distance #learning #metric
Nonlinear adaptive distance metric learning for clustering (JC, ZZ, JY, HL), pp. 123–132.
KDDKDD-2007-ChiSZHT
Evolutionary spectral clustering by incorporating temporal smoothness (YC, XS, DZ, KH, BLT), pp. 153–162.
KDDKDD-2007-DaiXYY #classification #documentation
Co-clustering based classification for out-of-domain documents (WD, GRX, QY, YY), pp. 210–219.
KDDKDD-2007-DavidsonRE #incremental #performance
Efficient incremental constrained clustering (ID, SSR, ME), pp. 240–249.
KDDKDD-2007-DeodharG #framework #learning
A framework for simultaneous co-clustering and learning from complex data (MD, JG), pp. 250–259.
KDDKDD-2007-GeEJD #constraints
Constraint-driven clustering (RG, ME, WJ, ID), pp. 320–329.
KDDKDD-2007-JanssensGM #analysis #hybrid #mining
Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis (FALJ, WG, BDM), pp. 360–369.
KDDKDD-2007-LiuJJ #constraints #named
BoostCluster: boosting clustering by pairwise constraints (YL, RJ, AKJ), pp. 450–459.
KDDKDD-2007-LongZY #framework #probability #relational
A probabilistic framework for relational clustering (BL, Z(Z, PSY), pp. 470–479.
KDDKDD-2007-MoserGE #analysis #specification
Joint cluster analysis of attribute and relationship data withouta-priori specification of the number of clusters (FM, RG, ME), pp. 510–519.
KDDKDD-2007-Schickel-ZuberF #learning #recommendation #using
Using hierarchical clustering for learning theontologies used in recommendation systems (VSZ, BF), pp. 599–608.
KDDKDD-2007-ShigaTM #approach #composition #network
A spectral clustering approach to optimally combining numericalvectors with a modular network (MS, IT, HM), pp. 647–656.
KDDKDD-2007-TangWXZ #perspective
Enhancing semi-supervised clustering: a feature projection perspective (WT, HX, SZ, JW), pp. 707–716.
KDDKDD-2007-XuYFS #algorithm #named #network
SCAN: a structural clustering algorithm for networks (XX, NY, ZF, TAJS), pp. 824–833.
MLDMMLDM-2007-GrimH #analysis #category theory
Minimum Information Loss Cluster Analysis for Categorical Data (JG, JH), pp. 233–247.
MLDMMLDM-2007-HuWW
Varying Density Spatial Clustering Based on a Hierarchical Tree (XH, DW, XW), pp. 188–202.
MLDMMLDM-2007-Jain
Data Clustering: User’s Dilemma (AKJ), p. 1.
MLDMMLDM-2007-KyrgyzovKMC #kernel
Kernel MDL to Determine the Number of Clusters (IOK, OOK, HM, MC), pp. 203–217.
MLDMMLDM-2007-SaittaRS #bound
A Bounded Index for Cluster Validity (SS, BR, IFCS), pp. 174–187.
MLDMMLDM-2007-SakaiIKH
Critical Scale for Unsupervised Cluster Discovery (TS, AI, TK, SH), pp. 218–232.
MLDMMLDM-2007-SuarezM #algorithm
A Clustering Algorithm Based on Generalized Stars (APS, JEMP), pp. 248–262.
RecSysRecSys-2007-AngladeTV #identification
Complex-network theoretic clustering for identifying groups of similar listeners in p2p systems (AA, MT, FV), pp. 41–48.
RecSysRecSys-2007-HarperSF #recommendation #social
Supporting social recommendations with activity-balanced clustering (FMH, SS, DF), pp. 165–168.
RecSysRecSys-2007-NathansonBG #adaptation #recommendation #using
Eigentaste 5.0: constant-time adaptability in a recommender system using item clustering (TN, EB, KYG), pp. 149–152.
SIGIRSIGIR-2007-AltingovdeOOCU #retrieval #scalability
Large-scale cluster-based retrieval experiments on Turkish texts (ISA, RO, HCO, FC, ÖU), pp. 891–892.
SIGIRSIGIR-2007-BanerjeeRG #using #wiki
Clustering short texts using wikipedia (SB, KR, AG), pp. 787–788.
SIGIRSIGIR-2007-Feng #documentation #optimisation #problem
Document clustering: an optimization problem (AF), pp. 819–820.
SIGIRSIGIR-2007-KyriakopoulouK #classification #using
Using clustering to enhance text classification (AK, TK), pp. 805–806.
SIGIRSIGIR-2007-LiQLY #categorisation #detection
Detecting, categorizing and clustering entity mentions in Chinese text (WL, DQ, QL, CY), pp. 647–654.
SIGIRSIGIR-2007-SevillanoAS #named
BordaConsensus: a new consensus function for soft cluster ensembles (XS, FA, JCS), pp. 743–744.
SIGIRSIGIR-2007-Wan #documentation #evaluation #named #using
OMES: a new evaluation strategy using optimal matching for document clustering (XW), pp. 693–694.
SIGIRSIGIR-2007-WangZL #documentation
Regularized clustering for documents (FW, CZ, TL), pp. 95–102.
SIGIRSIGIR-2007-WanY #collaboration #documentation #multi #named
CollabSum: exploiting multiple document clustering for collaborative single document summarizations (XW, JY), pp. 143–150.
ASEASE-2007-DuanC #automation
Clustering support for automated tracing (CD, JCH), pp. 244–253.
SACSAC-2007-AppelPSTT
Biased box sampling — a density-biased sampling for clustering (APA, AAP, EPMdS, AJMT, CTJ), pp. 445–446.
SACSAC-2007-LamprierALS #named #segmentation
ClassStruggle: a clustering based text segmentation (SL, TA, BL, FS), pp. 600–604.
SACSAC-2007-LiuMB #approach
A clustering entropy-driven approach for exploring and exploiting noisy functions (SHL, MM, BRB), pp. 738–742.
SACSAC-2007-SpinosaCG #approach #concept #data type #detection #named
OLINDDA: a cluster-based approach for detecting novelty and concept drift in data streams (EJS, ACPdLFdC, JG), pp. 448–452.
SACSAC-2007-ZhangXLY #modelling
Improved structural modeling based on conserved domain clusters and structure-anchored alignments (FZ, LX, ZL, BY), pp. 128–132.
CASECASE-2007-ChanYD #multi #on the #scheduling #tool support
On the Optimality of One-Unit Cycle Scheduling of Multi-Cluster Tools with Single-Blade Robots (WKC, JY, SD), pp. 392–397.
CASECASE-2007-ChoDCT #locality #network #robust
Robust Calibration for Localization in Clustered Wireless Sensor Networks (JJC, YD, YC, JT), pp. 919–924.
CASECASE-2007-MorrisonM #on the #throughput #tool support
On the Throughput of Clustered Photolithography Tools: Wafer Advancement and Intrinsic Equipment Loss (JRM, MKM), pp. 88–93.
CASECASE-2007-YiDZ0 #analysis #linear #throughput #tool support
Throughput Analysis of Linear Cluster Tools (JY, SD, MTZ, PvdM), pp. 1063–1068.
CGOCGO-2007-AletaCGK #architecture
Heterogeneous Clustered VLIW Microarchitectures (AA, JMC, AG, DRK), pp. 354–366.
CGOCGO-2007-CodinaSG #graph #scheduling
Virtual Cluster Scheduling Through the Scheduling Graph (JMC, FJS, AG), pp. 89–101.
DACDAC-2007-OgrasMCM
Voltage-Frequency Island Partitioning for GALS-based Networks-on-Chip (ÜYO, RM, PC, DM), pp. 110–115.
DACDAC-2007-Ozdal
Escape Routing For Dense Pin Clusters In Integrated Circuits (MMO), pp. 49–54.
DACDAC-2007-YuYBY #network #recursion
Program Mapping onto Network Processors by Recursive Bipartitioning and Refining (JY, JY, LNB, JY), pp. 805–810.
DATEDATE-2007-NarayananKB #performance
Performance aware secure code partitioning (SHKN, MTK, RRB), pp. 1122–1127.
DATEDATE-2007-SathanurCBMMP #bound #interactive #performance
Interactive presentation: Efficient computation of discharge current upper bounds for clustered sleep transistor sizing (AVS, AC, LB, AM, EM, MP), pp. 1544–1549.
DATEDATE-2007-Scholzel #interactive
Interactive presentation: Time-constrained clustering for DSE of clustered VLIW-ASP (MS), pp. 467–472.
DATEDATE-2007-SirowyWLV
Two-level microprocessor-accelerator partitioning (SS, YW, SL, FV), pp. 313–318.
HPCAHPCA-2007-DybdahlS #adaptation #multi
An Adaptive Shared/Private NUCA Cache Partitioning Scheme for Chip Multiprocessors (HD, PS), pp. 2–12.
HPDCHPDC-2007-ShankarD #data-driven #workflow
Data driven workflow planning in cluster management systems (SS, DJD), pp. 127–136.
LCTESLCTES-2007-ChuM #parallel
Code and data partitioning for fine-grain parallelism (MLC, SAM), pp. 161–164.
LCTESLCTES-2007-YanL #architecture #execution
Stream execution on wide-issue clustered VLIW architectures (SY, BL), pp. 158–160.
PDPPDP-2007-AlmeidaGB #analysis #multi #performance #symmetry
Performance analysis for clusters of symmetric multiprocessors (FA, JAG, JMB), pp. 121–128.
PDPPDP-2007-BrinkmannE #effectiveness
Cost-Effectiveness of Storage Grids and Storage Clusters (AB, SE), pp. 517–525.
PDPPDP-2007-RufinoAEP #distributed #named #prototype
pDomus: a prototype for Cluster-oriented Distributed Hash Tables (JR, AA, JE, AP), pp. 97–104.
PDPPDP-2007-TudrujM #communication #matrix #on the fly #parallel
Dynamic SMP Clusters with Communication on the Fly in SoC Technology Applied for Medium-Grain Parallel Matrix Multiplication (MT, LM), pp. 270–277.
PPoPPPPoPP-2007-Hoeflinger #programming
Programming with cluster openMP (JH), p. 270.
PPoPPPPoPP-2007-MohrorK #case study #linux
A study of tracing overhead on a high-performance linux cluster (KM, KLK), pp. 158–159.
SOSPSOSP-2007-ChongLMQVZZ #automation #web
Secure web application via automatic partitioning (SC, JL, ACM, XQ, KV, LZ, XZ), pp. 31–44.
FASEFASE-2007-ZhouY #approach #design #object-oriented
A Clustering-Based Approach for Tracing Object-Oriented Design to Requirement (XZ, HY), pp. 412–422.
TACASTACAS-2007-SebastianiTV #abstraction #refinement
Property-Driven Partitioning for Abstraction Refinement (RS, ST, MYV), pp. 389–404.
ICSTSAT-2007-SamulowitzB
Dynamically Partitioning for Solving QBF (HS, FB), pp. 215–229.
DRRDRR-2006-RahmanKAA #collaboration #documentation #library
Document clustering: applications in a collaborative digital library (FR, AK, YTA, HA).
DRRDRR-2006-SmithA
Partitioning of the degradation space for OCR training (EHBS, TLA).
TPDLECDL-2006-FuGF #algorithm #collaboration #query
A Hierarchical Query Clustering Algorithm for Collaborative Querying (LF, DHLG, SSBF), pp. 441–444.
JCDLJCDL-2006-YooH #comparison #documentation #library
A comprehensive comparison study of document clustering for a biomedical digital library MEDLINE (IY, XH), pp. 220–229.
PODSPODS-2006-AggarwalFKKPTZ
Achieving anonymity via clustering (GA, TF, KK, SK, RP, DT, AZ), pp. 153–162.
PODSPODS-2006-GollapudiKS #programmable
Programmable clustering (SG, RK, DS), pp. 348–354.
SIGMODSIGMOD-2006-GernerYDGRS #automation #data-driven #web
Automatic client-server partitioning of data-driven web applications (NG, FY, AJD, JG, MR, JS), pp. 760–762.
VLDBVLDB-2006-CandanHCTA #adaptation #named #xml
AFilter: Adaptable XML Filtering with Prefix-Caching and Suffix-Clustering (KSC, WPH, SC, JT, DA), pp. 559–570.
VLDBVLDB-2006-HokeSF #monitoring #named #scalability
InteMon: Intelligent System Monitoring on Large Clusters (EH, JS, CF), pp. 1239–1242.
VLDBVLDB-2006-KanneM #algorithm #approximate #linear
A Linear Time Algorithm for Optimal Tree Sibling Partitioning and Approximation Algorithms in Natix (CCK, GM), pp. 91–102.
VLDBVLDB-2006-YinHY #named #performance #semantics
LinkClus: Efficient Clustering via Heterogeneous Semantic Links (XY, JH, PSY), pp. 427–438.
CSMRCSMR-2006-WierdaDS #architecture #case study #using
Using Version Information in Architectural Clustering — A Case Study (AW, ED, LJS), pp. 214–228.
ICPCICPC-2006-KothariSMH #evolution #using
Studying the Evolution of Software Systems Using Change Clusters (JK, AS, SM, AEH), pp. 46–55.
ICALPICALP-v1-2006-Coja-Oghlan #adaptation #graph #heuristic #random
An Adaptive Spectral Heuristic for Partitioning Random Graphs (ACO), pp. 691–702.
ICEISICEIS-AIDSS-2006-HuynhGB #metric
Discovering the Stable Clusters between Interestingness Measures (HXH, FG, HB), pp. 196–201.
ICEISICEIS-HCI-2006-CoppolaCMFP #distance #empirical
A Fuzzy-Based Distance to Improve Empirical Methods for Menu Clustering (CC, GC, SDM, FF, TP), pp. 59–64.
CIKMCIKM-2006-AngelovaS #approach #documentation
A neighborhood-based approach for clustering of linked document collections (RA, SS), pp. 778–779.
CIKMCIKM-2006-ChuHCC #on the
On subspace clustering with density consciousness (YHC, JWH, KTC, MSC), pp. 804–805.
CIKMCIKM-2006-DangLLHC #similarity
Query-specific clustering of search results based on document-context similarity scores (EKFD, RWPL, DLL, KSH, SCfC), pp. 886–887.
CIKMCIKM-2006-GoldinMN #algorithm #distance #sequence
In search of meaning for time series subsequence clustering: matching algorithms based on a new distance measure (DQG, RM, GN), pp. 347–356.
CIKMCIKM-2006-HuZZ #array #identification #integration #mining
Integration of cluster ensemble and EM based text mining for microarray gene cluster identification and annotation (XH, XZ, XZ), pp. 824–825.
CIKMCIKM-2006-JainZC #adaptation #data type
Adaptive non-linear clustering in data streams (AJ, ZZ, EYC), pp. 122–131.
CIKMCIKM-2006-LiuJK #query
Measuring the meaning in time series clustering of text search queries (BL, RJ, KLK), pp. 836–837.
CIKMCIKM-2006-QamraTC #mining #using
Mining blog stories using community-based and temporal clustering (AQ, BLT, EYC), pp. 58–67.
CIKMCIKM-2006-SahooCKDP #documentation #incremental
Incremental hierarchical clustering of text documents (NS, JC, RK, GTD, RP), pp. 357–366.
CIKMCIKM-2006-VardeRRBMS #design #semantics
Designing semantics-preserving cluster representatives for scientific input conditions (ASV, EAR, CR, DCB, MM, RDSJ), pp. 708–717.
CIKMCIKM-2006-YanCL #transaction
Efficiently clustering transactional data with weighted coverage density (HY, KC, LL), pp. 367–376.
CIKMCIKM-2006-YangJZNX #documentation #ranking #using #validation
Document re-ranking using cluster validation and label propagation (LY, DHJ, GZ, NY, GX), pp. 690–697.
ECIRECIR-2006-CarpinetoPMR #mobile
Mobile Clustering Engine (CC, ADP, SM, GR), pp. 155–166.
ECIRECIR-2006-NaughtonKC
Clustering Sentences for Discovering Events in News Articles (MN, NK, JC), pp. 535–538.
ECIRECIR-2006-Osinski #approximate #matrix #quality
Improving Quality of Search Results Clustering with Approximate Matrix Factorisations (SO), pp. 167–178.
ECIRECIR-2006-SanJuanI #documentation
Phrase Clustering Without Document Context (ES, FIS), pp. 496–500.
ECIRECIR-2006-SmithR #navigation #online
Clustering-Based Searching and Navigation in an Online News Source (SCS, MAR), pp. 143–154.
ICMLICML-2006-AzranG #approach #data-driven
A new approach to data driven clustering (AA, ZG), pp. 57–64.
ICMLICML-2006-Carreira-Perpinan #parametricity #performance
Fast nonparametric clustering with Gaussian blurring mean-shift (MÁCP), pp. 153–160.
ICMLICML-2006-Elkan #approximate #documentation #multi
Clustering documents with an exponential-family approximation of the Dirichlet compound multinomial distribution (CE), pp. 289–296.
ICMLICML-2006-GreeneC #documentation #kernel #problem
Practical solutions to the problem of diagonal dominance in kernel document clustering (DG, PC), pp. 377–384.
ICMLICML-2006-Li #multi
Multiclass boosting with repartitioning (LL), pp. 569–576.
ICMLICML-2006-LongZWY #multi #relational
Spectral clustering for multi-type relational data (BL, Z(Z, XW, PSY), pp. 585–592.
ICMLICML-2006-LuV
Combined central and subspace clustering for computer vision applications (LL, RV), pp. 593–600.
ICMLICML-2006-SrebroSR
An investigation of computational and informational limits in Gaussian mixture clustering (NS, GS, STR), pp. 865–872.
ICMLICML-2006-TorreK #analysis
Discriminative cluster analysis (FDlT, TK), pp. 241–248.
ICMLICML-2006-TsudaK #graph #mining
Clustering graphs by weighted substructure mining (KT, TK), pp. 953–960.
ICPRICPR-v1-2006-AsharafM #scalability #using
Scalable non-linear Support Vector Machine using hierarchical clustering (SA, MNM), pp. 908–911.
ICPRICPR-v1-2006-BerrettiBP #3d #using
Partitioning of 3D Meshes using Reeb Gra (SB, ADB, PP), pp. 19–22.
ICPRICPR-v1-2006-BhattacharyaRD #fuzzy #image #representation #retrieval #semantics #using
Image Representation and Retrieval Using Support Vector Machine and Fuzzy C-means Clustering Based Semantical Spaces (PB, MMR, BCD), pp. 929–935.
ICPRICPR-v1-2006-BouguessaWJ #algorithm
A K-means-based Algorithm for Projective Clustering (MB, SW, QJ), pp. 888–891.
ICPRICPR-v1-2006-CaoH
Nonlinear Manifold Clustering By Dimensionality (WC, RMH), pp. 920–924.
ICPRICPR-v1-2006-FredJ #learning #similarity
Learning Pairwise Similarity for Data Clustering (ALNF, AKJ), pp. 925–928.
ICPRICPR-v1-2006-HansenMT #analysis #re-engineering #sorting
Cluster Analysis and Priority Sorting in Huge Point Clouds for Building Reconstruction (WvH, EM, UT), pp. 23–26.
ICPRICPR-v1-2006-HanXG #segmentation #video
Video Foreground Segmentation Based on Sequential Feature Clustering (MH, WX, YG), pp. 492–496.
ICPRICPR-v1-2006-KimC #ambiguity #permutation
ICA-Based Clustering for Resolving Permutation Ambiguity in Frequency-Domain Convolutive Source Separation (MK, SC), pp. 950–954.
ICPRICPR-v1-2006-LamY #algorithm #calculus
Improved Clustering Algorithm Based on Calculus of Variation (BSYL, HY), pp. 900–903.
ICPRICPR-v1-2006-Li #algorithm #performance
A clustering Based Color Model and Fast Algorithm for Object Tracking (PL), pp. 671–674.
ICPRICPR-v1-2006-LiHH
A Coarse-to-Fine Strategy for Vehicle Motion Trajectory Clustering (XL, WH, WH), pp. 591–594.
ICPRICPR-v1-2006-LiuPHCB #detection
Detecting Virulent Cells of Cryptococcus Neoformans Yeast: Clustering Experiments (JL, PvdP, FH, XC, TB), pp. 1112–1115.
ICPRICPR-v1-2006-MitraBP #array #framework
A MOE framework for Biclustering of Microarray Data (SM, HB, SKP), pp. 1154–1157.
ICPRICPR-v1-2006-MollerR #approach #nearest neighbour
A Cluster Validity Approach based on Nearest-Neighbor Resampling (UM, DR), pp. 892–895.
ICPRICPR-v1-2006-OngB #learning
Learning Wormholes for Sparsely Labelled Clustering (EJO, RB), pp. 916–919.
ICPRICPR-v1-2006-PrehnS #adaptation #algorithm #classification #incremental #robust #using
An Adaptive Classification Algorithm Using Robust Incremental Clustering (HP, GS), pp. 896–899.
ICPRICPR-v1-2006-RiponTKI #algorithm #multi #search-based #using
Multi-Objective Evolutionary Clustering using Variable-Length Real Jumping Genes Genetic Algorithm (KSNR, CHT, SK, MKI), pp. 1200–1203.
ICPRICPR-v1-2006-ViswanathP #hybrid #performance
l-DBSCAN : A Fast Hybrid Density Based Clustering Method (PV, RP), pp. 912–915.
ICPRICPR-v1-2006-WenGL #detection #markov #monte carlo
Markov Chain Monte Carlo Data Association for Merge and Split Detection in Tracking Protein Clusters (QW, JG, KLP), pp. 1030–1033.
ICPRICPR-v2-2006-BhattacharyaRD06a #fuzzy #image #representation #retrieval #semantics #using
Image Representation and Retrieval Using Support Vector Machine and Fuzzy C-means Clustering Based Semantical Spaces (PB, MMR, BCD), pp. 1162–1168.
ICPRICPR-v2-2006-ChoL #identification #image #novel
A novel Virus Infection Clustering for Flower Images Identification (SYC, PTL), pp. 1038–1041.
ICPRICPR-v2-2006-FerchichiW #2d #3d #algorithm
A Clustering-based Algorithm for Extracting the Centerlines of 2D and 3D Objects (SF, SW), pp. 296–299.
ICPRICPR-v2-2006-Gil-GarciaBP #algorithm #framework
A General Framework for Agglomerative Hierarchical Clustering Algorithms (RGG, JMBC, APP), pp. 569–572.
ICPRICPR-v2-2006-Maruyama #configuration management #hardware #image #realtime
Real-time K-Means Clustering for Color Images on Reconfigurable Hardware (TM), pp. 816–819.
ICPRICPR-v2-2006-SadriSB #recognition
A New Clustering Method for Improving Plasticity and Stability in Handwritten Character Recognition Systems (JS, CYS, TDB), pp. 1130–1133.
ICPRICPR-v2-2006-ScarpaH #independence #segmentation
Unsupervised Texture Segmentation by Spectral-Spatial-Independent Clustering (GS, MH), pp. 151–154.
ICPRICPR-v2-2006-Sternby #refinement
Class Dependent Cluster Refinement (JS), pp. 833–836.
ICPRICPR-v2-2006-UsoPSG #multi #using
Clustering-based multispectral band selection using mutual information (AMU, FP, JMS, PGS), pp. 760–763.
ICPRICPR-v2-2006-ViswanathJ #performance
A Fast and Efficient Ensemble Clustering Method (PV, KJ), pp. 720–723.
ICPRICPR-v2-2006-YangLWW #markov #robust
Robust Clustering based on Winner-Population Markov Chain (FWY, HJL, PSPW, HHW), pp. 589–592.
ICPRICPR-v2-2006-YuW #algorithm #named #realtime #scalability #set
GCA: A real-time grid-based clustering algorithm for large data set (ZY, HSW), pp. 740–743.
ICPRICPR-v3-2006-BaldacciGLR #approach
A Template-Matching Approach for Protein Surface Clustering (LB, MG, AL, SR), pp. 340–343.
ICPRICPR-v3-2006-HanD #array #modelling #parametricity
Semi-Parametric Model-Based Clustering for DNA Microarray Data (BH, LSD), pp. 324–327.
ICPRICPR-v3-2006-HuRH #approach #robust
An Interweaved HMM/DTW Approach to Robust Time Series Clustering (JH, BKR, LH), pp. 145–148.
ICPRICPR-v3-2006-HuS06a #classification #functional #image #normalisation
Normalization of Functional Magnetic Resonance Images by Classified Cerebrospinal Fluid Cluster (ZH, PS), pp. 938–941.
ICPRICPR-v3-2006-JainHSVHG #algorithm #hybrid #recursion #sequence
A Hybrid, Recursive Algorithm for Clustering Expressed Sequence Tags in Chlamydomonas reinhardtii (MJ, HJH, JS, OV, CH, AG), pp. 404–407.
ICPRICPR-v3-2006-JainML #feedback
Bayesian Feedback in Data Clustering (AKJ, PKM, MHCL), pp. 374–378.
ICPRICPR-v3-2006-KyanG #self
Local Variance Driven Self-Organization for Unsupervised Clustering (MJK, LG), pp. 421–424.
ICPRICPR-v3-2006-QiuXT #feedback #kernel #performance #using
Efficient Relevance Feedback Using Semi-supervised Kernel-specified K-means Clustering (BQ, CX, QT), pp. 316–319.
ICPRICPR-v3-2006-RipsL
The Twin Towers Cluster in Torah Codes (ER, AL), pp. 408–411.
ICPRICPR-v3-2006-VlietF #analysis #multi
Multi-orientation analysis by decomposing the structure tensor and clustering (LJvV, FGAF), pp. 856–860.
ICPRICPR-v3-2006-ZhangHT #comparison #metric #similarity
Comparison of Similarity Measures for Trajectory Clustering in Outdoor Surveillance Scenes (ZZ, KH, TT), pp. 1135–1138.
ICPRICPR-v3-2006-ZhangSZS #approach #geometry #image
A Global Geometric Approach for Image Clustering (SZ, CS, ZZ, ZS), pp. 1244–1247.
ICPRICPR-v4-2006-FengL #graph #self
Self-Validated and Spatially Coherent Clustering with Net-Structured MRF and Graph Cuts (WF, ZQL), pp. 37–40.
ICPRICPR-v4-2006-KwonYKL #using
Fingerprint Matching Method Using Minutiae Clustering and Warping (DK, IDY, DHK, SUL), pp. 525–528.
ICPRICPR-v4-2006-PhamS #approximate #classification #metric #performance
Metric tree partitioning and Taylor approximation for fast support vector classification (TVP, AWMS), pp. 132–135.
ICPRICPR-v4-2006-ZaimQSIT #image #robust #segmentation #using
A Robust and Accurate Segmentation of Iris Images Using Optimal Partitioning (AZ, MKQ, JS, JI, RT), pp. 578–581.
ICPRICPR-v4-2006-ZhangSZS06a #approach #geometry #image
A Global Geometric Approach for Image Clustering (SZ, CS, ZZ, ZS), p. 960.
ICPRICPR-v4-2006-ZhaoSC #using
Fingerprint Registration Using Minutia Clusters and Centroid Structure 1 (DZ, FS, AC), pp. 413–416.
KDDKDD-2006-AchtertBKKZ #correlation #modelling
Deriving quantitative models for correlation clusters (EA, CB, HPK, PK, AZ), pp. 4–13.
KDDKDD-2006-BohmFPP #robust
Robust information-theoretic clustering (CB, CF, JYP, CP), pp. 65–75.
KDDKDD-2006-ChakrabartiKT
Evolutionary clustering (DC, RK, AT), pp. 554–560.
KDDKDD-2006-DingLPP #matrix #orthogonal
Orthogonal nonnegative matrix t-factorizations for clustering (CHQD, TL, WP, HP), pp. 126–135.
KDDKDD-2006-GaoGEJ
Discovering significant OPSM subspace clusters in massive gene expression data (BJG, OLG, ME, SJMJ), pp. 922–928.
KDDKDD-2006-LiuZWMP #difference #order #set
Clustering pair-wise dissimilarity data into partially ordered sets (JL, QZ, WW, LM, JP), pp. 637–642.
KDDKDD-2006-NathBM #approach #classification #scalability #using
Clustering based large margin classification: a scalable approach using SOCP formulation (JSN, CB, MNM), pp. 674–679.
KDDKDD-2006-SpiliopoulouNTS #modelling #monitoring #named
MONIC: modeling and monitoring cluster transitions (MS, IN, YT, RS), pp. 706–711.
KDDKDD-2006-XiongWC #metric #perspective #validation
K-means clustering versus validation measures: a data distribution perspective (HX, JW, JC), pp. 779–784.
KDDKDD-2006-YooHS #graph #integration #refinement #representation #semantics
Integration of semantic-based bipartite graph representation and mutual refinement strategy for biomedical literature clustering (IY, XH, IYS), pp. 791–796.
KDDKDD-2006-ZhangCWZ #concept #identification
Identifying bridging rules between conceptual clusters (SZ, FC, XW, CZ), pp. 815–820.
SEKESEKE-2006-Mayer #effectiveness #performance #random testing #testing
Efficient and Effective Random Testing based on Partitioning and Neighborhood (JM), pp. 479–484.
SEKESEKE-2006-WuHY #ranking
Salient Phrases-based Clustering and Ranking in Chinese Bulletin Board System (XW, SH, YY), pp. 73–78.
SIGIRSIGIR-2006-AlonsoG #using
Clustering of search results using temporal attributes (OA, MG), pp. 597–598.
SIGIRSIGIR-2006-HuangM #feedback
Text clustering with extended user feedback (YH, TMM), pp. 413–420.
SIGIRSIGIR-2006-JiX #documentation #information management
Document clustering with prior knowledge (XJ, WX), pp. 405–412.
SIGIRSIGIR-2006-KurlandL #exclamation #modelling
Respect my authority!: HITS without hyperlinks, utilizing cluster-based language models (OK, LL), pp. 83–90.
SIGIRSIGIR-2006-LiuC #representation #retrieval
Representing clusters for retrieval (XL, WBC), pp. 671–672.
SIGIRSIGIR-2006-SevillanoCAS #documentation #robust
Feature diversity in cluster ensembles for robust document clustering (XS, GC, FA, JCS), pp. 697–698.
SIGIRSIGIR-2006-TreeratpitukC #automation #case study #statistics #using
An experimental study on automatically labeling hierarchical clusters using statistical features (PT, JPC), pp. 707–708.
SIGIRSIGIR-2006-YangC #detection
Near-duplicate detection by instance-level constrained clustering (HY, JPC), pp. 421–428.
AdaEuropeAdaEurope-2006-ChenHZ #adaptation #random testing #testing
Adaptive Random Testing Through Iterative Partitioning (TYC, DH, ZZ), pp. 155–166.
SACSAC-2006-GaberY #approach #data type #framework #information management #resource management
A framework for resource-aware knowledge discovery in data streams: a holistic approach with its application to clustering (MMG, PSY), pp. 649–656.
SACSAC-2006-GeraciPPS #algorithm #scalability #web
A scalable algorithm for high-quality clustering of web snippets (FG, MP, PP, FS), pp. 1058–1062.
SACSAC-2006-HabichWLP #set
Two-phase clustering strategy for gene expression data sets (DH, TW, WL, CP), pp. 145–150.
SACSAC-2006-HadiET #summary #video
Video summarization by k-medoid clustering (YH, FE, ROHT), pp. 1400–1401.
SACSAC-2006-NemalhabibS #algorithm #category theory #dataset #named
CLUC: a natural clustering algorithm for categorical datasets based on cohesion (AN, NS), pp. 637–638.
SACSAC-2006-OliveiraPCA #database #equivalence
Revisiting 1-copy equivalence in clustered databases (RCO, JP, ACJ, EA), pp. 728–732.
CASECASE-2006-DingYZA #evaluation #multi #nondeterminism #optimisation #performance #process #tool support
Performance Evaluation and Schedule Optimization of Multi-Cluster Tools with Process Times Uncertainty (SD, JY, MTZ, RAT), pp. 112–117.
CASECASE-2006-LeeLS #graph
Token delays and generalized workload balancing for timed event graphs with application to cluster tool operation (TEL, HYL, RSS), pp. 93–99.
CASECASE-2006-WuZ #constraints #petri net #scheduling #tool support
Schedulability and Scheduling of Dual-Arm Cluster Tools with Residency Time Constraints Based on Petri Net (NW, MZ), pp. 87–92.
CGOCGO-2006-ChuM #multi
Compiler-directed Data Partitioning for Multicluster Processors (MLC, SAM), pp. 208–220.
DACDAC-2006-LinCC #optimisation
Optimal simultaneous mapping and clustering for FPGA delay optimization (JYL, DC, JC), pp. 472–477.
DACDAC-2006-RadT #hybrid
A new hybrid FPGA with nanoscale clusters and CMOS routing (RMR, MT), pp. 727–730.
DATEDATE-2006-HePE #scheduling #testing
Power constrained and defect-probability driven SoC test scheduling with test set partitioning (ZH, ZP, PE), pp. 291–296.
DATEDATE-2006-KandemirCLIK #process
Activity clustering for leakage management in SPMs (MTK, GC, FL, MJI, IK), pp. 696–697.
DATEDATE-2006-LahiriBCM #speech
Battery-aware code partitioning for a text to speech system (AL, AB, MC, SM), pp. 672–677.
DATEDATE-2006-NascimentoL #architecture #complexity #configuration management #image
Temporal partitioning for image processing based on time-space complexity in reconfigurable architectures (PSBdN, MEdL), pp. 375–380.
DATEDATE-2006-XueOLKK #architecture #embedded #memory management
Dynamic partitioning of processing and memory resources in embedded MPSoC architectures (LX, ÖÖ, FL, MTK, IK), pp. 690–695.
DATEDATE-DF-2006-ArifinC #adaptation #implementation #logic #novel #segmentation
A novel FPGA-based implementation of time adaptive clustering for logical story unit segmentation (SA, PYKC), pp. 227–232.
DATEDATE-DF-2006-BannowHR #automation #design #evaluation #performance
Automatic systemC design configuration for a faster evaluation of different partitioning alternatives (NB, KH, WR), pp. 217–218.
HPDCHPDC-2006-BernardiCFJK #architecture #geometry #grid
Geometrical Interpretation for Data partitioning on a Grid Architecture (DB, CC, HF, MJ, MK), pp. 355–356.
HPDCHPDC-2006-LopesM #file system #parallel
Cooperative Caching in the pCFS parallel Cluster File System (PAL, PDM), pp. 347–348.
HPDCHPDC-2006-WuB #adaptation #performance
Improving I/O Performance of Clustered Storage Systems by Adaptive Request Distribution (CW, RCB), pp. 207–217.
PDPPDP-2006-Barlas #analysis #taxonomy #video
A Taxonomy and DLT-Based Analysis of Cluster-Based Video Trans/En-Coding (GDB), pp. 388–395.
PDPPDP-2006-GlatardMP #framework #grid #optimisation #probability
Probabilistic and Dynamic Optimization of Job Partitioning on a Grid Infrastructure (TG, JM, XP), pp. 231–238.
PDPPDP-2006-NagelR #configuration management #middleware #multi #named
RCM — A Multi-Layered Reconfigurable Cluster Middleware (RN, TR), pp. 203–210.
PDPPDP-2006-XieC #distributed #flexibility #reliability
A Decentralized Storage Cluster with High Reliability and Flexibility (CX, BC), pp. 116–123.
PPoPPPPoPP-2006-ChristodoulopoulouMBA #performance
Fast and transparent recovery for continuous availability of cluster-based servers (RC, KM, AB, CA), pp. 221–229.
PPoPPPPoPP-2006-ManassievMA #concurrent #distributed #memory management #transaction
Exploiting distributed version concurrency in a transactional memory cluster (KM, MM, CA), pp. 198–208.
PPoPPPPoPP-2006-SpringerLRF #energy #execution #source code
Minimizing execution time in MPI programs on an energy-constrained, power-scalable cluster (RS, DKL, BR, VWF), pp. 230–238.
STOCSTOC-2006-KhandekarRV #graph #using
Graph partitioning using single commodity flows (RK, SR, UVV), pp. 385–390.
WICSAWICSA-2005-VasconcelosW #approach #architecture #independence #set #towards
Towards a Set of Application Independent Clustering Criteria within an Architecture Recovery Approach (APVdV, CW), pp. 235–236.
DocEngDocEng-2005-KerneKSM #generative #hypermedia #semantics
Generative semantic clustering in spatial hypertext (AK, EK, VS, JMM), pp. 84–93.
DRRDRR-2005-LiuD #automation #image
Automatic style clustering of printed characters in form images (CL, XD), pp. 175–182.
ICDARICDAR-2005-BarbuHAT #documentation #image #representation #using
Clustering document images using a bag of symbols representation (EB, PH, SA, ÉT), pp. 1216–1220.
ICDARICDAR-2005-BulacuS #comparison #identification #verification
A Comparison of Clustering Methods for Writer Identification and Verification (MB, LS), pp. 1275–1279.
ICDARICDAR-2005-Mancas-ThillouG #distance #image
Color Text Extraction from Camera-based Images the Impact of the Choice of the Clustering Distance (CMT, BG), pp. 312–316.
ICDARICDAR-2005-SaoiGK #detection #image #multi
Text Detection in Color Scene Images based on Unsupervised Clustering of Multi-channel Wavelet Features (TS, HG, HK), pp. 690–694.
JCDLJCDL-2005-HanZG #ambiguity #using
Name disambiguation in author citations using a K-way spectral clustering method (HH, HZ, CLG), pp. 334–343.
PODSPODS-2005-ChengVKW
A divide-and-merge methodology for clustering (DC, SV, RK, GW), pp. 196–205.
SIGMODSIGMOD-2005-PapadiasMH #concept #monitoring #nearest neighbour #performance
Conceptual Partitioning: An Efficient Method for Continuous Nearest Neighbor Monitoring (KM, MH, DP), pp. 634–645.
SIGMODSIGMOD-2005-TungXO #correlation #named #visualisation
CURLER: Finding and Visualizing Nonlinear Correlated Clusters (AKHT, XX, BCO), pp. 467–478.
SIGMODSIGMOD-2005-ZhaoZ #3d #algorithm #array #effectiveness #mining #named
TriCluster: An Effective Algorithm for Mining Coherent Clusters in 3D Microarray Data (LZ, MJZ), pp. 694–705.
VLDBVLDB-2005-RonstromO
Recovery Principles in MySQL Cluster 5.1 (MR, JO), pp. 1108–1115.
CSMRCSMR-2005-RousidisT #case study #java #maintenance #source code
Clustering Data Retrieved from Java Source Code to Support Software Maintenance: A Case Study (DR, CT), pp. 276–279.
CSMRCSMR-2005-XiaoT #dependence
Software Clustering Based on Dynamic Dependencies (CX, VT), pp. 124–133.
ICSMEICSM-2005-BinkleyH #dependence
Locating Dependence Clusters and Dependence Pollution (DB, MH), pp. 177–186.
ICSMEICSM-2005-LuoZS #composition #identification #object-oriented
A Hierarchical Decomposition Method for Object-Oriented Systems Based on Identifying Omnipresent Clusters (JL, LZ, JS), pp. 647–650.
ICSMEICSM-2005-WuHH #algorithm #comparison #evolution
Comparison of Clustering Algorithms in the Context of Software Evolution (JW, AEH, RCH), pp. 525–535.
ICSMEICSM-2005-ZhaoZMS #requirements
Requirements Guided Dynamic Software Clustering (WZ, LZ, HM, JS), pp. 605–608.
IWPCIWPC-2005-BeyerN
Clustering Software Artifacts Based on Frequent Common Changes (DB, AN), pp. 259–268.
IWPCIWPC-2005-WenT #detection
Software Clustering based on Omnipresent Object Detection (ZW, VT), pp. 269–278.
WCREWCRE-2005-AndreopoulosATW #multi #scalability
Multiple Layer Clustering of Large Software Systems (BA, AA, VT, XW), pp. 79–88.
WCREWCRE-2005-ChristlKS #automation
Equipping the Reflexion Method with Automated Clustering (AC, RK, MADS), pp. 89–98.
WCREWCRE-2005-KuhnDG #reverse engineering #semantics
Enriching Reverse Engineering with Semantic Clustering (AK, SD, TG), pp. 133–142.
ICALPICALP-2005-KumarSS #algorithm #linear #problem
Linear Time Algorithms for Clustering Problems in Any Dimensions (AK, YS, SS), pp. 1374–1385.
FMFM-2005-IyerSEJ #model checking #on the
On Partitioning and Symbolic Model Checking (SKI, DS, EAE, JJ), pp. 497–511.
VISSOFTVISSOFT-2005-LunguKGL #interactive #semantics
Interactive Exploration of Semantic Clusters (ML, AK, TG, ML), pp. 95–100.
ICEISICEIS-v1-2005-FengWM #hybrid
A Hybrid Clustering Criterion for R*-Tree on Business Data (YF, ZW, AM), pp. 346–352.
ICEISICEIS-v2-2005-CarrascoVG #using
Using DMFSQL for Financial Clustering (RAC, MAVM, JG), pp. 135–141.
ICEISICEIS-v2-2005-HuynhGB #metric
Clustering Interestingness Measures with Positive Correaltion (HXH, FG, HB), pp. 248–253.
ICEISICEIS-v2-2005-KumarKDB #mining #using #web
Web Usage Mining Using Rough Agglomerative Clustering (PK, PRK, SKD, RSB), pp. 315–320.
ICEISICEIS-v2-2005-SantosPS #data mining #framework #mining #modelling
A Cluster Framework for Data Mining Models — An Application to Intensive Medicine (MFS, JP, ÁMS), pp. 163–168.
CIKMCIKM-2005-BambaRM #named #query
OSQR: overlapping clustering of query results (BB, PR, MKM), pp. 239–240.
CIKMCIKM-2005-KriegelP #distributed #effectiveness #performance
Efficient and effective server-sided distributed clustering (HPK, MP), pp. 339–340.
CIKMCIKM-2005-LesterMZ #geometry #online #performance
Fast on-line index construction by geometric partitioning (NL, AM, JZ), pp. 776–783.
CIKMCIKM-2005-LiC #documentation #sequence #word
Text document clustering based on frequent word sequences (YL, SMC), pp. 293–294.
CIKMCIKM-2005-MiaoKM #comparative #documentation #evaluation #n-gram #using
Document clustering using character N-grams: a comparative evaluation with term-based and word-based clustering (YM, VK, EEM), pp. 357–358.
CIKMCIKM-2005-OrlandicLY #effectiveness #performance #reduction #using
Clustering high-dimensional data using an efficient and effective data space reduction (RO, YL, WGY), pp. 201–208.
CIKMCIKM-2005-Polyzotis #effectiveness #optimisation #paradigm #query
Selectivity-based partitioning: a divide-and-union paradigm for effective query optimization (NP), pp. 720–727.
CIKMCIKM-2005-XiongLZ #network #parallel
Supporting ranked search in parallel search cluster networks (FX, QL, DJZ), pp. 263–264.
ECIRECIR-2005-AminiUG #algorithm #automation #ranking #summary
Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms (MRA, NU, PG), pp. 142–156.
ECIRECIR-2005-DingCZ #analysis #concept #detection #video
Temporal Shot Clustering Analysis for Video Concept Detection (DD, LC, BZ), pp. 558–560.
ICMLICML-2005-BekkermanEM #interactive #multi
Multi-way distributional clustering via pairwise interactions (RB, REY, AM), pp. 41–48.
ICMLICML-2005-BreitenbachG #ranking
Clustering through ranking on manifolds (MB, GZG), pp. 73–80.
ICMLICML-2005-FinleyJ
Supervised clustering with support vector machines (TF, TJ), pp. 217–224.
ICMLICML-2005-GuptaG #hybrid #robust #using
Robust one-class clustering using hybrid global and local search (GG, JG), pp. 273–280.
ICMLICML-2005-HellerG
Bayesian hierarchical clustering (KAH, ZG), pp. 297–304.
ICMLICML-2005-JoachimsH #bound #correlation #fault
Error bounds for correlation clustering (TJ, JEH), pp. 385–392.
ICMLICML-2005-KulisBDM #approach #graph #kernel
Semi-supervised graph clustering: a kernel approach (BK, SB, ISD, RJM), pp. 457–464.
ICMLICML-2005-Meila #axiom #perspective
Comparing clusterings: an axiomatic view (MM), pp. 577–584.
ICMLICML-2005-SimsekWB #graph #identification #learning
Identifying useful subgoals in reinforcement learning by local graph partitioning (ÖS, APW, AGB), pp. 816–823.
ICMLICML-2005-ZhouLZ #distance #metric
A new Mallows distance based metric for comparing clusterings (DZ, JL, HZ), pp. 1028–1035.
KDDKDD-2005-BanerjeeKGBM #modelling
Model-based overlapping clustering (AB, CK, JG, SB, RJM), pp. 532–537.
KDDKDD-2005-DhillonGK #algorithm #graph #kernel #multi #performance
A fast kernel-based multilevel algorithm for graph clustering (ISD, YG, BK), pp. 629–634.
KDDKDD-2005-GaoLZCM #consistency #graph #higher-order #semistructured data
Consistent bipartite graph co-partitioning for star-structured high-order heterogeneous data co-clustering (BG, TYL, XZ, QC, WYM), pp. 41–50.
KDDKDD-2005-GionisHPT
Dimension induced clustering (AG, AH, SP, PT), pp. 51–60.
KDDKDD-2005-GondekH
Non-redundant clustering with conditional ensembles (DG, TH), pp. 70–77.
KDDKDD-2005-JagannathanW #distributed #privacy
Privacy-preserving distributed k-means clustering over arbitrarily partitioned data (GJ, RNW), pp. 593–599.
KDDKDD-2005-KriegelP #nondeterminism
Density-based clustering of uncertain data (HPK, MP), pp. 672–677.
KDDKDD-2005-Li
A general model for clustering binary data (TL), pp. 188–197.
KDDKDD-2005-LongZY #composition
Co-clustering by block value decomposition (BL, Z(Z, PSY), pp. 635–640.
KDDKDD-2005-NeillMSD #detection
Detection of emerging space-time clusters (DBN, AWM, MS, KD), pp. 218–227.
KDDKDD-2005-SanghaiSDK #architecture #design #multi #performance #simulation
A multinomial clustering model for fast simulation of computer architecture designs (KS, TS, JGD, DRK), pp. 808–813.
KDDKDD-2005-SurdeanuTA #approach #documentation #hybrid
A hybrid unsupervised approach for document clustering (MS, JT, AA), pp. 685–690.
KDDKDD-2005-YinHY
Cross-relational clustering with user’s guidance (XY, JH, PSY), pp. 344–353.
KDDKDD-2005-ZakiPAS #algorithm #category theory #dataset #effectiveness #mining #named
CLICKS: an effective algorithm for mining subspace clusters in categorical datasets (MJZ, MP, IA, TS), pp. 736–742.
MLDMMLDM-2005-BarbuHAT #documentation #graph #image #summary #using
Clustering Document Images Using Graph Summaries (EB, PH, SA, ÉT), pp. 194–202.
MLDMMLDM-2005-CandillierTTB #named #statistics
SSC: Statistical Subspace Clustering (LC, IT, FT, OB), pp. 100–109.
MLDMMLDM-2005-DuKAB #algorithm #encoding #multi #search-based
Alternative Clustering by Utilizing Multi-objective Genetic Algorithm with Linked-List Based Chromosome Encoding (JD, EEK, RA, KB), pp. 346–355.
MLDMMLDM-2005-EickRBV #assessment #distance #similarity #using
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment (CFE, AR, AB, RV), pp. 120–131.
MLDMMLDM-2005-GiacintoPR #detection #network
Alarm Clustering for Intrusion Detection Systems in Computer Networks (GG, RP, FR), pp. 184–193.
MLDMMLDM-2005-HalveyKS #internet #navigation #predict #using
Birds of a Feather Surf Together: Using Clustering Methods to Improve Navigation Prediction from Internet Log Files (MH, MTK, BS), pp. 174–183.
MLDMMLDM-2005-HammoudaMK #documentation #named
CorePhrase: Keyphrase Extraction for Document Clustering (KMH, DNM, MSK), pp. 265–274.
MLDMMLDM-2005-HaralickH #linear
Linear Manifold Clustering (RMH, RH), pp. 132–141.
MLDMMLDM-2005-JanichenP #concept
Acquisition of Concept Descriptions by Conceptual Clustering (SJ, PP), pp. 153–162.
MLDMMLDM-2005-NikulinS #probability
Universal Clustering with Regularization in Probabilistic Space (VN, AJS), pp. 142–152.
MLDMMLDM-2005-SiaL #dataset #scalability #using
Clustering Large Dynamic Datasets Using Exemplar Points (WS, MML), pp. 163–173.
MLDMMLDM-2005-SilvaK #distributed
Inference on Distributed Data Clustering (JCdS, MK), pp. 610–619.
SIGIRSIGIR-2005-KurlandLD #modelling #pseudo #using
Better than the real thing?: iterative pseudo-query processing using cluster-based language models (OK, LL, CD), pp. 19–26.
SIGIRSIGIR-2005-XueLYXZYC #collaboration #scalability #using
Scalable collaborative filtering using cluster-based smoothing (GRX, CL, QY, WX, HJZ, YY, ZC), pp. 114–121.
OOPSLAOOPSLA-2005-CharlesGSDKEPS #approach #named #object-oriented
X10: an object-oriented approach to non-uniform cluster computing (PC, CG, VAS, CD, AK, KE, CvP, VS), pp. 519–538.
PLDIPLDI-2005-DaiHLH #architecture #automation #pipes and filters
Automatically partitioning packet processing applications for pipelined architectures (JD, BH, LL, LH), pp. 237–248.
AdaSIGAda-2005-AlexandrID #ada #analysis #performance #source code
Experimental performance analysis of ada programs in cluster system (KA, SI, KD), pp. 31–36.
RERE-2005-ChenZZM #approach #feature model #modelling #requirements
An Approach to Constructing Feature Models Based on Requirements Clustering (KC, WZ, HZ, HM), pp. 31–40.
SACSAC-2005-Aguilar-RuizD
Evolutionary computation for biclustering of gene expression (JSAR, FD), pp. 959–960.
SACSAC-2005-DongH #classification #parametricity
Text classification based on data partitioning and parameter varying ensembles (YSD, KSH), pp. 1044–1048.
SACSAC-2005-FalcoTCG #algorithm #search-based
A new variable-length genome genetic algorithm for data clustering in semeiotics (IDF, ET, ADC, FG), pp. 923–927.
SACSAC-2005-FalcoTCG05a #approach #grammarware #novel #programming #search-based
A novel grammar-based genetic programming approach to clustering (IDF, ET, ADC, FG), pp. 928–932.
SACSAC-2005-HanMZTGZ #documentation #metadata #rule-based #word
Rule-based word clustering for document metadata extraction (HH, EM, HZ, KT, CLG, XZ), pp. 1049–1053.
SACSAC-2005-HuangSMZGGP #approach #predict
A clustering-based approach for prediction of cardiac resynchronization therapy (HH, LS, FM, SZ, MG, LG, JDP), pp. 260–266.
SACSAC-2005-KankarM #summary #visualisation
Text-based summarization and visualization of gene clusters (PK, SM), pp. 210–211.
SACSAC-2005-LeeWC #performance
Rearranging data objects for efficient and stable clustering (GL, XW, JC), pp. 519–523.
SACSAC-2005-McPhersonMO #graph #parametricity #social
Discovering parametric clusters in social small-world graphs (JM, KLM, MO), pp. 1231–1238.
SACSAC-2005-OcaGA #algorithm #classification #network
An hybridization of an ant-based clustering algorithm with growing neural gas networks for classification tasks (MAMdO, LG, JLA), pp. 9–13.
SACSAC-2005-Ordonez
A model for association rules based on clustering (CO), pp. 545–546.
SACSAC-2005-TangV #approach #documentation
An artificial immune system approach to document clustering (NT, VRV), pp. 918–922.
SACSAC-2005-WangP
Tree-based clustering for gene expression data (BW, WP), pp. 204–205.
SACSAC-2005-XiaoLJ #on the #problem #scheduling
On unit task linear-nonlinear two-cluster scheduling problem (ZX, WNL, JJFJ), pp. 713–717.
SACSAC-2005-ZhengZOMF #network
Node clustering based on link delay in P2P networks (WZ, SZ, YO, FM, JF), pp. 744–749.
CCCC-2005-EnnalsSM #manycore #network
Task Partitioning for Multi-core Network Processors (RE, RS, AM), pp. 76–90.
DACDAC-2005-BanerjeeBD #architecture #configuration management
Physically-aware HW-SW partitioning for reconfigurable architectures with partial dynamic reconfiguration (SB, EB, NDD), pp. 335–340.
DACDAC-2005-LiQTWCH #approach #performance
Partitioning-based approach to fast on-chip decap budgeting and minimization (HL, ZQ, SXDT, LW, YC, XH), pp. 170–175.
DACDAC-2005-TomL #design #logic #scalability
Logic block clustering of large designs for channel-width constrained FPGAs (MT, GGL), pp. 726–731.
DATEDATE-2005-BarrettaFSB #embedded #parallel #thread
Multithreaded Extension to Multicluster VLIW Processors for Embedded Applications (DB, WF, MS, DB), pp. 748–749.
DATEDATE-2005-GangwarBPK #architecture #evaluation
Evaluation of Bus Based Interconnect Mechanisms in Clustered VLIW Architectures (AG, MB, PRP, AK), pp. 730–735.
DATEDATE-2005-LiC #analysis #hybrid #sequence
Hybrid BIST Based on Repeating Sequences and Cluster Analysis (LL, KC), pp. 1142–1147.
DATEDATE-2005-LyseckyV #case study #hardware #using
A Study of the Speedups and Competitiveness of FPGA Soft Processor Cores using Dynamic Hardware/Software Partitioning (RLL, FV), pp. 18–23.
DATEDATE-2005-SrinivasanLV #architecture
Simultaneous Partitioning and Frequency Assignment for On-Chip Bus Architectures (SS, LL, NV), pp. 218–223.
DATEDATE-2005-StittV #approach #decompiler #platform
A Decompilation Approach to Partitioning Software for Microprocessor/FPGA Platforms (GS, FV), pp. 396–397.
DATEDATE-2005-StreichertHT #configuration management #distributed #embedded #network
Distributed HW/SW-Partitioning for Embedded Reconfigurable Networks (TS, CH, JT), pp. 894–895.
DATEDATE-2005-WenzelRKP #context-free grammar #generative #model checking
utomatic Timing Model Generation by CFG Partitioning and Model Checking (IW, BR, RK, PPP), pp. 606–611.
HPCAHPCA-2005-KondoN #performance #power management
A Small, Fast and Low-Power Register File by Bit-Partitioning (MK, HN), pp. 40–49.
HPDCHPDC-2005-AnandS #algorithm #automation #search-based
Genetic algorithm based automatic data partitioning scheme for HPF (SKA, YNS), pp. 289–290.
HPDCHPDC-2005-BatsakisB #fault tolerance
Cluster delegation: high-performance, fault-tolerant data sharing in NFS (AB, RCB), pp. 100–109.
HPDCHPDC-2005-RanjanBH #distributed
A model for cooperative federation of distributed clusters (RR, RB, AH), pp. 295–296.
HPDCHPDC-2005-TierneyG #workflow
Techniques for tuning workflows in cluster environments (BT, DKG), pp. 303–305.
LCTESLCTES-2005-XuZRMM #embedded #energy #policy
Energy-efficient policies for embedded clusters (RX, DZ, CR, RGM, DM), pp. 1–10.
PDPPDP-2005-FaberoBC #equation #parallel #performance #simulation
Efficiency on Clusters of Parallel Simulation of Sine-Gordon Equation over Hexagonal Tessellation (JCF, AB, LC), pp. 68–75.
PDPPDP-2005-KoukisK #memory management #scheduling
Memory Bandwidth Aware Scheduling for SMP Cluster Nodes (EK, NK), pp. 187–196.
PDPPDP-2005-SanjurjoBAD #parallel
Parallel Global Illumination Method Based on a Non-Uniform Partitioning of the Scene (JRS, MB, MA, RD), pp. 251–257.
PPoPPPPoPP-2005-FreehL #energy #multi #source code #using
Using multiple energy gears in MPI programs on a power-scalable cluster (VWF, DKL), pp. 164–173.
PPoPPPPoPP-2005-HeathDCMB #energy
Energy conservation in heterogeneous server clusters (TH, BD, EVC, WMJ, RB), pp. 186–195.
PPoPPPPoPP-2005-KejariwalNBP #approach #novel
A novel approach for partitioning iteration spaces with variable densities (AK, AN, UB, CDP), pp. 120–131.
SOSPSOSP-2005-CohenZGSKF
Capturing, indexing, clustering, and retrieving system history (IC, SZ, MG, JS, TK, AF), pp. 105–118.
ESOPESOP-2005-MauborgneR #abstract interpretation
Trace Partitioning in Abstract Interpretation Based Static Analyzers (LM, XR), pp. 5–20.
FASEFASE-2005-ChangHK #component #identification
A Tool to Automate Component Clustering and Identification (SHC, MJH, SDK), pp. 141–144.
STOCSTOC-2005-AilonCN #consistency #ranking
Aggregating inconsistent information: ranking and clustering (NA, MC, AN), pp. 684–693.
DRRDRR-2004-PengHL #automation #component #image
Automatic content extraction of filled-form images based on clustering component block projection vectors (HP, XH, FL), pp. 204–214.
PODSPODS-2004-AgarwalM
k-Means Projective Clustering (PKA, NHM), pp. 155–165.
PODSPODS-2004-FerhatosmanogluRT
Replicated Declustering of Spatial Data (HF, AR, AST), pp. 125–135.
PODSPODS-2004-ZhouW #matrix
Clustering via Matrix Powering (HZ, DPW), pp. 136–142.
SIGMODSIGMOD-2004-AgrawalNY #automation #database #design #physics
Integrating Vertical and Horizontal Partitioning Into Automated Physical Database Design (SA, VRN, BY), pp. 359–370.
SIGMODSIGMOD-2004-BohmKKZ #correlation
Computing Clusters of Correlation Connected Objects (CB, KK, PK, AZ), pp. 455–466.
SIGMODSIGMOD-2004-NassarSC #effectiveness #incremental #summary
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering (SN, JS, CC), pp. 467–478.
SIGMODSIGMOD-2004-QianZZ #approach #effectiveness #named #performance
FAÇADE: A Fast and Effective Approach to the Discovery of Dense Clusters in Noisy Spatial Data (YQ, GZ, KZ), pp. 921–922.
SIGMODSIGMOD-2004-WuYDM #approach #interactive #interface #query #web
An Interactive Clustering-based Approach to Integrating Source Query interfaces on the Deep Web (WW, CTY, AD, WM), pp. 95–106.
SIGMODSIGMOD-2004-YiuM #network
Clustering Objects on a Spatial Network (MLY, NM), pp. 443–454.
VLDBVLDB-2004-AggarwalHWY #data type #framework
A Framework for Projected Clustering of High Dimensional Data Streams (CCA, JH, JW, PSY), pp. 852–863.
VLDBVLDB-2004-LightstoneB #automation #database #design #multi #relational
Automating the design of multi-dimensional clustering tables in relational databases (SL, BB), pp. 1170–1181.
VLDBVLDB-2004-ManegoldBKN
Cache-Conscious Radix-Decluster Projections (SM, PAB, NN), pp. 684–695.
CSMRCSMR-2004-BauerT #adaptation #architecture #object-oriented
Architecture-Aware Adaptive Clustering of OO Systems (MB, MT), pp. 3–14.
CSMRCSMR-2004-MaqboolB #algorithm
The Weighted Combined Algorithm: A Linkage Algorithm for Software Clustering (OM, HAB), pp. 15–24.
CSMRCSMR-2004-ZaidmanD #execution #process
Managing Trace Data Volume through a Heuristical Clustering Process Based on Event Execution Frequency (AZ, SD), pp. 329–338.
IWPCIWPC-2004-KanellopoulosT #c++ #comprehension #data mining #mining #source code
Data Mining Source Code to Facilitate Program Comprehension: Experiments on Clustering Data Retrieved from C++ Programs (YK, CT), pp. 214–225.
IWPCIWPC-2004-RiccaTGP #empirical #keyword #web
An Empirical Study on Keyword-based Web Site Clustering (FR, PT, CG, EP), pp. 204–213.
IWPCIWPC-2004-WenT #algorithm #effectiveness
An Effectiveness Measure for Software Clustering Algorithms (ZW, VT), pp. 194–203.
SCAMSCAM-2004-XuLZS
Program Restructuring Through Clustering Techniques (XX, CHL, MZ, AS), pp. 75–84.
ICALPICALP-2004-CzumajS #approximate #random
Sublinear-Time Approximation for Clustering Via Random Sampling (AC, CS), pp. 396–407.
IFMIFM-2004-PuHHY #approach #hardware
An Optimal Approach to Hardware/Software Partitioning for Synchronous Model (GP, DVH, JH, WY), pp. 363–381.
SEFMSEFM-2004-GeguangXSZHY #approach #hardware #multi
An Approach to Hardware/Software Partitioning for Multiple Hardware Devices Model (GP, XZ, SW, ZQ, JH, WY), pp. 376–385.
CHICHI-2004-MillerM
Cluster-based find and replace (RCM, AMM), pp. 57–64.
CSCWCSCW-2004-TseHSG #dependence #how #people
Avoiding interference: how people use spatial separation and partitioning in SDG workspaces (ET, JH, SDS, SG), pp. 252–261.
ICEISICEIS-v2-2004-CastilhoPL #information management #process
Informed K-Means: A Clustering Process biased by Prior Knowledge (WFC, HAdP, ML), pp. 469–475.
ICEISICEIS-v2-2004-ChenSMA #modelling #relational
Hierarchical Model-Based Clustering for Relational Data (JC, MS, SIM, KA), pp. 92–97.
ICEISICEIS-v2-2004-SalemSA #documentation #network
Unsupervised Artificial Neural Networks for Clustering of Document Collections (ABMS, MMS, AFA), pp. 383–392.
ICEISICEIS-v2-2004-TagarelliTG #linear #mining #programming
Mining Scientific Results Through the Combined Use of Clustering and Linear Programming Techniques (AT, IT, SG), pp. 84–91.
ICEISICEIS-v2-2004-WallaceK #performance #robust
Robust, Generalized, Quick and Efficient Agglomerative Clustering (MW, SDK), pp. 409–416.
ICEISICEIS-v2-2004-ZaratePSSVD #network #optimisation #representation #set
Optimization of Neural Network’s Training Sets via Clustering: Application in Solar Collector Representation (LEZ, EMDP, DAS, JPDS, RV, ASCD), pp. 147–152.
CIKMCIKM-2004-ChenL #dataset #named #scalability #visualisation
ClusterMap: labeling clusters in large datasets via visualization (KC, LL), pp. 285–293.
CIKMCIKM-2004-ChungJM #dataset #mining #using
Mining gene expression datasets using density-based clustering (SC, JJ, DM), pp. 150–151.
CIKMCIKM-2004-HeTC #approach #query #web
Organizing structured web sources by query schemas: a clustering approach (BH, TT, KCCC), pp. 22–31.
CIKMCIKM-2004-HuangOM #category theory #difference
Compression schemes for differential categorical stream clustering (WH, EO, LM), pp. 232–233.
CIKMCIKM-2004-KoreniusLJJ #documentation
Stemming and lemmatization in the clustering of finnish text documents (TK, JL, KJ, MJ), pp. 625–633.
CIKMCIKM-2004-LiOM #multi #on the
On combining multiple clusterings (TL, MO, SM), pp. 294–303.
CIKMCIKM-2004-MekhaldiLI #documentation #speech #using
Using bi-modal alignment and clustering techniques for documents and speech thematic segmentations (DM, DL, RI), pp. 69–77.
CIKMCIKM-2004-NiuJT #documentation #validation
Document clustering based on cluster validation (ZYN, DHJ, CLT), pp. 501–506.
CIKMCIKM-2004-WangSZCM #summary #web
Web page clustering enhanced by summarization (XW, DS, HJZ, ZC, WYM), pp. 242–243.
CIKMCIKM-2004-ZhaoK #documentation #summary
Soft clustering criterion functions for partitional document clustering: a summary of results (YZ, GK), pp. 246–247.
ECIRECIR-2004-DobryninPR #documentation
Contextual Document Clustering (VD, DWP, NR), pp. 167–180.
ECIRECIR-2004-HungWS #bottom-up #predict #top-down
Predictive Top-Down Knowledge Improves Neural Exploratory Bottom-Up Clustering (CH, SW, PS), pp. 154–166.
ICMLICML-2004-BilenkoBM #constraints #learning #metric
Integrating constraints and metric learning in semi-supervised clustering (MB, SB, RJM).
ICMLICML-2004-ChangY #adaptation #linear #metric
Locally linear metric adaptation for semi-supervised clustering (HC, DYY).
ICMLICML-2004-ClimerZ #approach
Take a walk and cluster genes: a TSP-based approach to optimal rearrangement clustering (SC, WZ).
ICMLICML-2004-DingH
Linearized cluster assignment via spectral ordering (CHQD, XH).
ICMLICML-2004-DingH04a #analysis #component
K-means clustering via principal component analysis (CHQD, XH).
ICMLICML-2004-FernB #graph #problem
Solving cluster ensemble problems by bipartite graph partitioning (XZF, CEB).
ICMLICML-2004-HertzBW #distance
Boosting margin based distance functions for clustering (TH, ABH, DW).
ICMLICML-2004-LiMO #category theory
Entropy-based criterion in categorical clustering (TL, SM, MO).
ICMLICML-2004-MannorMHK #abstraction #learning
Dynamic abstraction in reinforcement learning via clustering (SM, IM, AH, UK).
ICMLICML-2004-NguyenS #learning #using
Active learning using pre-clustering (HTN, AWMS).
ICMLICML-2004-RosalesAF #learning #using
Learning to cluster using local neighborhood structure (RR, KA, BJF).
ICPRICPR-v1-2004-JainTLB #algorithm
Landscape of Clustering Algorithms (AKJ, APT, MHCL, JMB), pp. 260–263.
ICPRICPR-v1-2004-JohnstonFD #execution #grid #image #performance
An Event-Based Execution Model for Efficient Image Processing on Workstation Clusters and the Grid (DJJ, MF, ACD), pp. 732–735.
ICPRICPR-v1-2004-MaedaKI #data-driven #database #probability #process #segmentation
Segmentation of Range Data Based on A Stochastic Clustering Method with Competitive Process (MM, KK, KI), pp. 624–627.
ICPRICPR-v1-2004-MiasnikovRH #algorithm
A Hierarchical Projection Pursuit Clustering Algorithm (ADM, JER, RMH), pp. 268–271.
ICPRICPR-v1-2004-PetrosinoV #algorithm #fuzzy #named #parallel #scalability
P-AFLC: A Parallel Scalable Fuzzy Clustering Algorithm (AP, MV), pp. 809–812.
ICPRICPR-v1-2004-TopchyMJP #adaptation
Adaptive Clustering Ensembles (APT, BMB, AKJ, WFP), pp. 272–275.
ICPRICPR-v1-2004-VirmajokiF #algorithm #divide and conquer #graph
Divide-and-Conquer Algorithm for Creating Neighborhood Graph for Clustering (OV, PF), pp. 264–267.
ICPRICPR-v1-2004-ZhouT #analysis #coordination #documentation #geometry #re-engineering #visual notation
Coordinate Systems Reconstruction for Graphical Documents by Hough-feature Clustering and Geometric Analysis (YPZ, CLT), pp. 376–379.
ICPRICPR-v2-2004-BerrettiB #multi #representation
Multiresolution Spatial Partitioning for Shape Representation (SB, ADB), pp. 775–778.
ICPRICPR-v2-2004-BuzanSK #video
Extraction and Clustering of Motion Trajectories in Video (DB, SS, GK), pp. 521–524.
ICPRICPR-v2-2004-HuR #classification #probability #using
Probability Table Compression Using Distributional Clustering for Scanning N-Tuple Classifiers (JH, ER), pp. 533–536.
ICPRICPR-v2-2004-KoskelaLO #image #metric #retrieval
Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval (MK, JL, EO), pp. 1005–1009.
ICPRICPR-v2-2004-MachadoMC #adaptation #image #using
The Influence of the Noise in the Restoration of Solar Radio Images using Adaptive Regularization Techniques Based on Clustering (WRSM, NDAM, JERC), pp. 371–374.
ICPRICPR-v2-2004-MitraM #feature model
Feature Selection and Gene Clustering from Gene Expression Data (PM, DDM), pp. 343–346.
ICPRICPR-v2-2004-Olson
Pose Clustering Guided by Short Interpretation Trees (CFO), pp. 149–152.
ICPRICPR-v2-2004-VijayaMS #classification #performance #sequence
An Efficient Technique for Protein Sequence Clustering and Classification (PAV, MNM, DKS), pp. 447–450.
ICPRICPR-v3-2004-DEliaMMPST #classification #detection #segmentation
Detection of Microcalcifications Clusters in Mammograms through TS-MRF Segmentation and SVM-based Classification (CD, CM, MM, GP, GS, FT), pp. 742–745.
ICPRICPR-v3-2004-KashinoKK #video
A Quick Video Search Method based on Local and Global Feature Clustering (KK, AK, TK), pp. 894–897.
ICPRICPR-v3-2004-XiangW #image #segmentation
Range Image Segmentation Based on Split-Merge Clustering (RX, RW), pp. 614–617.
ICPRICPR-v4-2004-Cheung #algorithm #automation #towards
A Rival Penalized EM Algorithm towards Maximizing Weighted Likelihood for Density Mixture Clustering with Automatic Model Selection (YmC), pp. 633–636.
ICPRICPR-v4-2004-FuYHT #detection #multi #using
Mixture Clustering Using Multidimensional Histograms for Skin Detection (ZF, JY, WH, TT), pp. 549–552.
ICPRICPR-v4-2004-HeidemannBBS #gesture #recognition #scalability #self #set #user interface #visual notation
Hand Gesture Recognition: Self-Organising Maps as a Graphical User Interface for the Partitioning of Large Training Data Sets (GH, HB, IB, AS), pp. 487–490.
ICPRICPR-v4-2004-LiuSCH #personalisation #using #verification
Personalized Face Verification System Using Owner-Specific Cluster-Dependent LDA-Subspace (HCL, CHS, YHC, YPH), pp. 344–347.
ICPRICPR-v4-2004-NockN #algorithm #optimisation
Improving Clustering Algorithms through Constrained Convex Optimization (RN, FN), pp. 557–560.
ICPRICPR-v4-2004-ParkJZK #graph
Support Vector Clustering Combined with Spectral Graph Partitioning (JHP, XJ, HZ, RK), pp. 581–584.
ICPRICPR-v4-2004-QinandS #algorithm #analysis #kernel
Kernel Neural Gas Algorithms with Application to Cluster Analysis (AKQ, PNS), pp. 617–620.
ICPRICPR-v4-2004-Qiu #image
Image and Feature Co-Clustering (GQ), pp. 991–994.
ICPRICPR-v4-2004-SamsonB #learning #parallel #robust #video
Learning Classes for Video Interpretation with a Robust Parallel Clustering Method (VS, PB), pp. 569–572.
ICPRICPR-v4-2004-Syeda-Mahmood
Order-Preserving Clustering and Its Application to Gene Expression Data (TFSM), pp. 637–640.
ICPRICPR-v4-2004-TothSWA #detection #using
Detection of Moving Shadows using Mean Shift Clustering and a Significance Test (DT, IS, AW, TA), pp. 260–263.
ICPRICPR-v4-2004-WongCSI #3d #modelling #retrieval
Indexing and Retrieval of 3D Models by Unsupervised Clustering with Hierarchical SOM (HSW, KKTC, YS, HHSI), pp. 613–616.
ICPRICPR-v4-2004-XuF #difference
Delta-MSE Dissimilarity in Suboptimal K-Means Clustering (MX, PF), pp. 577–580.
KDDKDD-2004-BagnallJ #modelling
Clustering time series from ARMA models with clipped data (AJB, GJJ), pp. 49–58.
KDDKDD-2004-BanerjeeDGMM #approach #approximate #matrix
A generalized maximum entropy approach to bregman co-clustering and matrix approximation (AB, ISD, JG, SM, DSM), pp. 509–514.
KDDKDD-2004-BanerjeeL #evaluation
An objective evaluation criterion for clustering (AB, JL), pp. 515–520.
KDDKDD-2004-BasuBM #framework #probability
A probabilistic framework for semi-supervised clustering (SB, MB, RJM), pp. 59–68.
KDDKDD-2004-DhillonGK #kernel #normalisation
Kernel k-means: spectral clustering and normalized cuts (ISD, YG, BK), pp. 551–556.
KDDKDD-2004-Iyengar #detection #on the
On detecting space-time clusters (VSI), pp. 587–592.
KDDKDD-2004-JiangPRTZ #array #mining
Mining coherent gene clusters from gene-sample-time microarray data (DJ, JP, MR, CT, AZ), pp. 430–439.
KDDKDD-2004-LiHY
Clustering moving objects (YL, JH, JY), pp. 617–622.
KDDKDD-2004-LiuWY #framework
A framework for ontology-driven subspace clustering (JL, WW, JY), pp. 623–628.
KDDKDD-2004-MelkmanS
Sleeved coclustering (AAM, ES), pp. 635–640.
KDDKDD-2004-NeillM #agile #detection
Rapid detection of significant spatial clusters (DBN, AWM), pp. 256–265.
KDDKDD-2004-Ordonez #algorithm #programming #sql
Programming the K-means clustering algorithm in SQL (CO), pp. 823–828.
KDDKDD-2004-PavlovBDKP #classification #documentation #multi #naive bayes #preprocessor
Document preprocessing for naive Bayes classification and clustering with mixture of multinomials (DP, RB, BD, SK, JP), pp. 829–834.
KDDKDD-2004-PopesculU #concept #learning #relational #statistics
Cluster-based concept invention for statistical relational learning (AP, LHU), pp. 665–670.
KDDKDD-2004-WuGH #mining #network #using
Mining scale-free networks using geodesic clustering (AYW, MG, JH), pp. 719–724.
SEKESEKE-2004-FoxF #adaptation #documentation #reduction
Document Clustering with Adaptive Term Weighting and Feature Reduction Capabilities (TWF, BJF), pp. 142–147.
SEKESEKE-2004-JahnkeB #architecture #reverse engineering #using
Reverse Engineering Software Architecture using Rough Clusters (JHJ, YB), pp. 270–275.
SIGIRSIGIR-2004-AzmanO
Discovery of aggregate usage profiles based on clustering information needs (AA, IO), pp. 470–471.
SIGIRSIGIR-2004-LiMO #adaptation #documentation
Document clustering via adaptive subspace iteration (TL, SM, MO), pp. 218–225.
SIGIRSIGIR-2004-LiuC #modelling #retrieval #using
Cluster-based retrieval using language models (XL, WBC), pp. 186–193.
SIGIRSIGIR-2004-SiersdorferS #documentation #self #strict
Restrictive clustering and metaclustering for self-organizing document collections (SS, SS), pp. 226–233.
SIGIRSIGIR-2004-SilvestriOP #documentation #identifier
Assigning identifiers to documents to enhance the clustering property of fulltext indexes (FS, SO, RP), pp. 305–312.
SIGIRSIGIR-2004-XuG #concept #documentation
Document clustering by concept factorization (WX, YG), pp. 202–209.
SIGIRSIGIR-2004-YeS #retrieval
Aggregated feature retrieval for MPEG-7 via clustering (JY, AFS), pp. 514–515.
SIGIRSIGIR-2004-ZengHCMM #learning #web
Learning to cluster web search results (HJZ, QCH, ZC, WYM, JM), pp. 210–217.
SACSAC-2004-BolshakovaAC #array #assessment
An integrated tool for microarray data clustering and cluster validity assessment (NB, FA, PC), pp. 133–137.
SACSAC-2004-ChenSMA #modelling #relational
Hierarchical model-based clustering of relational data with aggregates (JC, MS, SIM, KA), pp. 620–621.
SACSAC-2004-DingH #consistency #information management #nearest neighbour #optimisation
K-nearest-neighbor consistency in data clustering: incorporating local information into global optimization (CHQD, XH), pp. 584–589.
SACSAC-2004-EggermontKK #classification #programming #search-based
Genetic Programming for data classification: partitioning the search space (JE, JNK, WAK), pp. 1001–1005.
SACSAC-2004-Guo #algorithm #evaluation #framework #functional
A new framework for clustering algorithm evaluation in the domain of functional genomics (AG), pp. 143–146.
SACSAC-2004-JuhaszC #multi #performance #platform
Exploiting fast ethernet performance in multiplatform cluster environment (SJ, HC), pp. 1407–1411.
SACSAC-2004-KasturiA #using
Clustering of diverse genomic data using information fusion (JK, RA), pp. 116–120.
SACSAC-2004-LuLFDB #algorithm #named #performance #search-based
FGKA: a Fast Genetic K-means Clustering Algorithm (YL, SL, FF, YD, SJB), pp. 622–623.
SACSAC-2004-QianZ #automation #named #performance
GraphZip: a fast and automatic compression method for spatial data clustering (YQ, KZ), pp. 571–575.
SACSAC-2004-Tosun #query
Replicated declustering for arbitrary queries (AST), pp. 748–753.
SACSAC-2004-UngureanuMBK
Class-Dependent Assignment in cluster-based servers (VU, BM, PGB, MNK), pp. 1420–1425.
DACDAC-2004-AntonelliCDHKKMN #automaton #modelling #problem
Quantum-Dot Cellular Automata (QCA) circuit partitioning: problem modeling and solutions (DAA, DZC, TJD, XSH, ABK, PMK, RCM, MTN), pp. 363–368.
DACDAC-2004-HuM04a #adaptation #multi
Adaptive data partitioning for ambient multimedia (XH, RM), pp. 562–565.
DACDAC-2004-KejariwalGNDG #algorithm #energy #mobile
Proxy-based task partitioning of watermarking algorithms for reducing energy consumption in mobile devices (AK, SG, AN, ND, RG), pp. 556–561.
DACDAC-2004-SelvakkumaranRRK #algorithm #multi
Multi-resource aware partitioning algorithms for FPGAs with heterogeneous resources (NS, AR, SR, GK), pp. 741–746.
DATEDATE-v1-2004-FengWCL #simulation
Improved Symoblic Simulation by Dynamic Funtional Space Partitioning (TF, LCW, KTC, CCL), pp. 42–49.
DATEDATE-v1-2004-LyseckyV #architecture #configuration management #hardware #logic
A Configurable Logic Architecture for Dynamic Hardware/Software Partitioning (RLL, FV), pp. 480–485.
DATEDATE-v1-2004-WangH #memory management #multi #power management #scheduling
Power Aware Variable Partitioning and Instruction Scheduling for Multiple Memory Banks (ZW, XSH), pp. 312–317.
DATEDATE-v2-2004-PopEPIHB #design #embedded #multi #optimisation #realtime
Design Optimization of Multi-Cluster Embedded Systems for Real-Time Application (PP, PE, ZP, VI, MH, OB), pp. 1027–1033.
HPDCHPDC-2004-ChungH #automation #performance #web #web service
Automated Cluster-Based Web Service Performance Tuning (IHC, JKH), pp. 36–44.
HPDCHPDC-2004-WuB #consistency #performance
Achieving Performance Consistency in Heterogeneous Clusters (CW, RCB), pp. 140–149.
OSDIOSDI-2004-DeanG #named #pipes and filters #scalability
MapReduce: Simplified Data Processing on Large Clusters (JD, SG), pp. 137–150.
PDPPDP-2004-AthanasakiKK #scheduling
Scheduling of Tiled Nested Loops onto a Cluster with a Fixed Number of SMP Nodes (MA, EK, NK), pp. 424–433.
PDPPDP-2004-BanosGOM #graph #heuristic #parallel
Parallel Heuristic Search in Multilevel Graph Partitioning (RB, CG, JO, FGM), pp. 88–95.
PDPPDP-2004-GourgoulisTKW #scalability #simulation
Creating Scalable Traffic Simulation on Clusters (AG, GT, PK, SCW), pp. 60–65.
PDPPDP-2004-PardinesR #architecture
Minimizing the Load Redistribution Cost in Cluster Architectures (IP, FFR), pp. 326–331.
DATEDATE-2005-GalanisMTSG04 #configuration management #hybrid #platform
A Partitioning Methodology for Accelerating Applications in Hybrid Reconfigurable Platforms (MDG, AM, GT, DS, CEG), pp. 247–252.
STOCSTOC-2004-AroraRV #geometry #graph
Expander flows, geometric embeddings and graph partitioning (SA, SR, UVV), pp. 222–231.
STOCSTOC-2004-Har-PeledM #on the
On coresets for k-means and k-median clustering (SHP, SM), pp. 291–300.
STOCSTOC-2004-Kelner #bound #graph
Spectral partitioning, eigenvalue bounds, and circle packings for graphs of bounded genus (JAK), pp. 455–464.
STOCSTOC-2004-SpielmanT #algorithm #graph #linear
Nearly-linear time algorithms for graph partitioning, graph sparsification, and solving linear systems (DAS, SHT), pp. 81–90.
TPDLECDL-2003-TombrosJR #information management
Clustering Top-Ranking Sentences for Information Access (AT, JMJ, IR), pp. 523–528.
ICDARICDAR-2003-BrittoSSSB #algorithm #low cost #parallel #using
A Low-Cost Parallel K-Means VQ Algorithm Using Cluster Computing (AdSBJ, PSLdS, RS, SdRSdS, DLB), pp. 839–843.
ICDARICDAR-2003-GovindarajuT
Postal address block location by contour clustering (VG, ST), pp. 429–432.
ICDARICDAR-2003-YonekuraF #2d #segmentation
Postal Envelope Segmentation by 2-D Histogram Clustering through Watershed Transform (EAY, JF), pp. 338–342.
SIGMODSIGMOD-2003-KimC #adaptation #feedback #image #named #retrieval #using
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval (DHK, CWC), pp. 599–610.
SIGMODSIGMOD-2003-PadmanabhanBMCH #layout #multi
Multi-Dimensional Clustering: A New Data Layout Scheme in DB2 (SP, BB, TM, LC, MH), pp. 637–641.
VLDBVLDB-2003-AggarwalHWY #data type #evolution #framework
A Framework for Clustering Evolving Data Streams (CCA, JH, JW, PSY), pp. 81–92.
VLDBVLDB-2003-BhattacharjeePMLCH #multi #performance #query
Efficient Query Processing for Multi-Dimensionally Clustered Tables in DB2 (BB, SP, TM, TL, LC, MH), pp. 963–974.
VLDBVLDB-2003-HelmerNM
Estimating the Output Cardinality of Partial Preaggregation with a Measure of Clusteredness (SH, TN, GM), pp. 656–667.
VLDBVLDB-2003-ZhouS #metric
Data Bubbles for Non-Vector Data: Speeding-up Hierarchical Clustering in Arbitrary Metric Spaces (JZ, JS), pp. 452–463.
CSMRCSMR-2003-AntoniolPN #algorithm #library #search-based
Moving to Smaller Libraries via Clustering and Genetic Algorithms (GA, MDP, MN), pp. 307–316.
CSMRCSMR-2003-SaeedMBHS #algorithm #using
Software Clustering Techniques and the Use of Combined Algorithm (MS, OM, HAB, SZH, SMS), pp. 301–306.
ICSMEICSM-2003-MahdaviHH #approach #multi
A Multiple Hill Climbing Approach to Software Module Clustering (KM, MH, RMH), pp. 315–324.
ICSMEICSM-2003-Mitchell #approach #heuristic #problem
A Heuristic Approach to Solving the Software Clustering Problem (BSM), pp. 285–288.
IWPCIWPC-2003-ChiricotaJM #component #graph #using
Software Components Capture Using Graph Clustering (YC, FJ, GM), pp. 217–226.
IWPCIWPC-2003-RiccaT #migration #using #web
Using Clustering to Support the Migration from Static to Dynamic Web Pages (FR, PT), pp. 207–216.
SCAMSCAM-2003-Martel #static analysis
Improving the Static Analysis of Loops by Dynamic Partitioning Techniques (MM), pp. 13–21.
WCREWCRE-2003-AndritsosT
Software Clustering based on Information Loss Minimization (PA, VT), pp. 334–344.
ICEISICEIS-v2-2003-HogoLS #network #using
Conventional Versus Interval Clustering Using Kohonen Networks (MH, PL, MS), pp. 250–257.
ICEISICEIS-v4-2003-LimP #using #web
Dynamically Reconstructive Web Server Cluster Using a Hierarchical Grouping Mechanism (SiL, MSP), pp. 271–279.
CIKMCIKM-2003-AllanFB #evaluation #flexibility
Flexible intrinsic evaluation of hierarchical clustering for TDT (JA, AF, AB), pp. 263–270.
ECIRECIR-2003-ChenKS #multi #summary #visualisation
Clustering and Visualization in a Multi-lingual Multi-document Summarization System (HHC, JJK, TCS), pp. 266–280.
ECIRECIR-2003-Masowska #web
Phrase-Based Hierarchical Clustering of Web Search Results (IM), pp. 555–562.
ICMLICML-2003-FernB03a #approach #random
Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach (XZF, CEB), pp. 186–193.
ICMLICML-2003-Joachims #graph #learning
Transductive Learning via Spectral Graph Partitioning (TJ), pp. 290–297.
ICMLICML-2003-LiuLCM #evaluation #feature model
An Evaluation on Feature Selection for Text Clustering (TL, SL, ZC, WYM), pp. 488–495.
KDDKDD-2003-AliK #divide and conquer #using #web
Golden Path Analyzer: using divide-and-conquer to cluster Web clickstreams (KA, SPK), pp. 349–358.
KDDKDD-2003-BanerjeeDGS #generative #modelling
Generative model-based clustering of directional data (AB, ISD, JG, SS), pp. 19–28.
KDDKDD-2003-ChudovaGMS #invariant #modelling
Translation-invariant mixture models for curve clustering (DC, SG, EM, PS), pp. 79–88.
KDDKDD-2003-DhillonMM
Information-theoretic co-clustering (ISD, SM, DSM), pp. 89–98.
KDDKDD-2003-Houle #navigation #set
Navigating massive data sets via local clustering (MEH), pp. 547–552.
KDDKDD-2003-KorenH #visualisation
A two-way visualization method for clustered data (YK, DH), pp. 589–594.
KDDKDD-2003-PeterCG #algorithm #dataset #scalability
New unsupervised clustering algorithm for large datasets (WP, JC, CG), pp. 643–648.
KDDKDD-2003-SahooORGMMVS #predict #scalability
Critical event prediction for proactive management in large-scale computer clusters (RKS, AJO, IR, MG, JEM, SM, RV, AS), pp. 426–435.
KDDKDD-2003-SteinbachTKKP #using
Discovery of climate indices using clustering (MS, PNT, VK, SAK, CP), pp. 446–455.
KDDKDD-2003-TantrumMS #assessment #modelling
Assessment and pruning of hierarchical model based clustering (JT, AM, WS), pp. 197–205.
KDDKDD-2003-VaidyaC #privacy
Privacy-preserving k-means clustering over vertically partitioned data (JV, CC), pp. 206–215.
KDDKDD-2003-YuYH #scalability #set #using
Classifying large data sets using SVMs with hierarchical clusters (HY, JY, JH), pp. 306–315.
MLDMMLDM-2003-BicegoMF #markov #modelling #sequence #similarity #using
Similarity-Based Clustering of Sequences Using Hidden Markov Models (MB, VM, MATF), pp. 86–95.
MLDMMLDM-2003-RodriguesDFVC #algorithm #analysis #comparative #profiling
A Comparative Analysis of Clustering Algorithms Applied to Load Profiling (FR, FJFD, VF, ZAV, MC), pp. 73–85.
SEKESEKE-2003-LoC #architecture #component #design
Application of Clustering Techniques to Component Architecture Design (ScL, JhC), pp. 699–705.
SEKESEKE-2003-MunchHD
A Practical Way to Use Clustering and Context Knowledge for Software Project Planning (JM, JH, AD), pp. 377–384.
SIGIRSIGIR-2003-HanMGZ #classification #rule-based #word
Rule-based word clustering for text classification (HH, EM, CLG, HZ), pp. 445–446.
SIGIRSIGIR-2003-WangZCLTM #multi #named
ReCoM: reinforcement clustering of multi-type interrelated data objects (JW, HJZ, ZC, HL, LT, WYM), pp. 274–281.
SIGIRSIGIR-2003-XuLG #documentation #matrix
Document clustering based on non-negative matrix factorization (WX, XL, YG), pp. 267–273.
PLDIPLDI-2003-ChuFM #multi
Region-based hierarchical operation partitioning for multicluster processors (MLC, KF, SAM), pp. 300–311.
SACSAC-2003-ChenL #dataset #visualisation
Cluster Rendering of Skewed Datasets via Visualization (KC, LL), pp. 909–916.
SACSAC-2003-MancoOS #similarity #transaction #web
Similarity-Based Clustering of Web Transactions (GM, RO, DS), pp. 1212–1216.
SACSAC-2003-NgGLC #algorithm #database #search-based
Applying Genetic Algorithms in Database Partitioning (VTYN, NG, DML, CKC), pp. 544–549.
SACSAC-2003-QianZ #approach #hybrid
A Customizable Hybrid Approach to Data Clustering (YQ, KZ), pp. 485–489.
SACSAC-2003-SaliceFVP #architecture #embedded #multi
Partitioning of Embedded Applications onto Heterogeneous Multiprocessor Architectures (FS, WF, LDV, LP), pp. 661–665.
CGOCGO-2003-GibertSG #distributed #memory management #scheduling
Local Scheduling Techniques for Memory Coherence in a Clustered VLIW Processor with a Distributed Data Cache (EG, FJS, AG), pp. 193–203.
DACDAC-2003-ChenCCKMSYZ #algebra #layout #multi
An algebraic multigrid solver for analytical placement with layout based clustering (HC, CKC, NCC, ABK, JFM, PS, BY, ZZ), pp. 794–799.
DACDAC-2003-HuM #predict
Wire length prediction based clustering and its application in placement (BH, MMS), pp. 800–805.
DACDAC-2003-MaideeAB #performance
Fast timing-driven partitioning-based placement for island style FPGAs (PM, CA, KB), pp. 598–603.
DACDAC-2003-StittLV #approach #hardware
Dynamic hardware/software partitioning: a first approach (GS, RLL, FV), pp. 250–255.
DATEDATE-2003-DoboliGD #modelling #network #using
Extraction of Piecewise-Linear Analog Circuit Models from Trained Neural Networks Using Hidden Neuron Clustering (SD, GG, AD), pp. 11098–11099.
DATEDATE-2003-FornaciariMSZ #specification #towards #uml
A First Step Towards Hw/Sw Partitioning of UML Specifications (WF, PM, FS, LZ), pp. 10668–10673.
DATEDATE-2003-HettiaratchiC #approach #energy #layout #performance
Mesh Partitioning Approach to Energy Efficient Data Layout (SH, PYKC), pp. 11076–11081.
DATEDATE-2003-MaciiMP #memory management #performance
Improving the Efficiency of Memory Partitioning by Address Clustering (AM, EM, MP), pp. 10018–10023.
DATEDATE-2003-Mooney #hardware #operating system
Hardware/Software Partitioning of Operating Systems (VJM), pp. 10338–10339.
DATEDATE-2003-PillaiJ #scheduling
Compiler-Directed ILP Extraction for Clustered VLIW/EPIC Machines: Predication, Speculation and Modulo Scheduling (SP, MFJ), pp. 10422–10427.
DATEDATE-2003-PopEP #analysis #distributed #embedded #multi #optimisation #scheduling #synthesis
Schedulability Analysis and Optimization for the Synthesis of Multi-Cluster Distributed Embedded Systems (PP, PE, ZP), pp. 10184–10189.
HPCAHPCA-2003-ChristodoulopoulouAB #approach #fault tolerance #memory management #replication
Dynamic Data Replication: An Approach to Providing Fault-Tolerant Shared Memory Clusters (RC, RA, AB), pp. 203–214.
HPCAHPCA-2003-NagarajaKBMN #architecture #communication
Evaluating the Impact of Communication Architecture on the Performability of Cluster-Based Services (KN, NK, RB, RPM, TDN), pp. 229–240.
HPCAHPCA-2003-TerechkoTGEC #communication #modelling
Inter-Cluster Communication Models for Clustered VLIW Processors (AT, ELT, MG, JTJvE, HC), pp. 354–364.
HPDCHPDC-2003-BucurE #multi #policy #simulation
Trace-Based Simulations of Processor Co-Allocation Policies in Multiclusters (AIDB, DHJE), pp. 70–79.
HPDCHPDC-2003-ChaseIGMS #grid
Dynamic Virtual Clusters in a Grid Site Manager (JSC, DEI, LEG, JDM, SS), pp. 90–103.
HPDCHPDC-2003-SenapathiCSSP #adaptation #interactive #middleware
QoS-Aware Middleware for Cluster-Based Servers to support Interactive and Resource-Adaptive Applications (SS, BC, DS, HWS, DKP), pp. 205–215.
LCTESLCTES-2003-PopEP #distributed #embedded #multi
Schedulability-driven frame packing for multi-cluster distributed embedded systems (PP, PE, ZP), pp. 113–122.
LCTESLCTES-2003-SureshNVVS #embedded #hardware #profiling #tool support
Profiling tools for hardware/software partitioning of embedded applications (DCS, WAN, FV, JRV, GS), pp. 189–198.
LCTESLCTES-2003-ZhangPV
Tamper-resistant whole program partitioning (TZ, SP, AVG), pp. 209–219.
PDPPDP-2003-AlmeidaGMRT #algorithm #on the #predict
On the Prediction of Master-Slave algorithms over Heterogeneous Clusters (FA, DG, LMM, CR, JT), p. 433–?.
PDPPDP-2003-BanosGMO #algorithm #parallel
A Parallel Evolutionary Algorithm for Circuit Partitioning (RB, CG, MDGM, JO), pp. 365–371.
PDPPDP-2003-BatistaCM #consistency #using
Computing Binary Space Partition Trees using a Scope Consistent DSM System in a Cluster of Workstations (RBB, ALACC, ACMAdM), pp. 93–100.
PDPPDP-2003-BeaumontLR #parallel #scheduling
Scheduling strategies for mixed data and task parallelism on heterogeneous clusters and grids (OB, AL, YR), p. 209–?.
PDPPDP-2003-BorzemskiZ #adaptation #algorithm #fuzzy #web
A Fuzzy Adaptive Request Distribution Algorithm for Cluster-based Web Systems (LB, KZ), pp. 119–126.
PDPPDP-2003-GaoSGL #parallel #simulation
Load Balancing for Spatial-grid-based Parallel Numeric Simulations on Clusters of SMPs (HG, AS, AG, PL), pp. 75–82.
PDPPDP-2003-Marzolla #monitoring #performance #scalability
A Performance Monitoring System for Large Computing Clusters (MM), pp. 393–400.
PDPPDP-2003-ProdanFGMFM #architecture #grid #on the #parametricity #performance #using
On Using ZENTURIO for Performance and Parameter Studies on Cluster and Grid Architectures (RP, TF, MG, GM, FF, HM), pp. 185–192.
PDPPDP-2003-Tessera #analysis #performance
Performance Analysis of an IBM supercluster (DT), pp. 417–424.
PDPPDP-2003-TudrujM #communication #configuration management #execution #on the fly
Communication on the Fly and Program Execution Control in a System of Dynamically Configurable SMP Clusters (MT, LM), pp. 67–74.
PPoPPPPoPP-2003-ChuTYS #internet #optimisation
Optimizing data aggregation for cluster-based internet services (LC, HT, TY, KS), pp. 119–130.
PPoPPPPoPP-2003-KarwandeYL #communication #named #prototype
CC-MPI: a compiled communication capable MPI prototype for ethernet switched clusters (AK, XY, DKL), p. 3.
PPoPPPPoPP-2003-KarwandeYL03a #communication #named #prototype
CC-MPI: a compiled communication capable MPI prototype for ethernet switched clusters (AK, XY, DKL), pp. 95–106.
STOCSTOC-2003-CharikarOP #algorithm #problem #streaming
Better streaming algorithms for clustering problems (MC, LO, RP), pp. 30–39.
STOCSTOC-2003-VegaKKR #approximate #problem
Approximation schemes for clustering problems (WFdlV, MK, CK, YR), pp. 50–58.
PODSPODS-2002-ChenC #multi #query
From Discrepancy to Declustering: Near optimal multidimensional declustering strategies for range queries (CMC, CTC), pp. 29–38.
SIGMODSIGMOD-2002-HinneburgKW #named #visual notation
HD-Eye: visual clustering of high dimensional data (AH, DAK, MW), p. 629.
SIGMODSIGMOD-2002-ProcopiucJAM #algorithm #monte carlo #performance
A Monte Carlo algorithm for fast projective clustering (CMP, MJ, PKA, TMM), pp. 418–427.
SIGMODSIGMOD-2002-WangWYY #scalability #set #similarity
Clustering by pattern similarity in large data sets (HW, WW, JY, PSY), pp. 394–405.
VLDBVLDB-2002-GhoshPSH #query
Plan Selection Based on Query Clustering (AG, JP, VSS, JRH), pp. 179–190.
VLDBVLDB-2002-KarayannidisTSPMRFEB #query
Processing Star Queries on Hierarchically-Clustered Fact Tables (NK, AT, TKS, RP, VM, FR, RF, KE, RB), pp. 730–741.
VLDBVLDB-2002-RohmBSS #component #coordination #middleware #named
FAS — A Freshness-Sensitive Coordination Middleware for a Cluster of OLAP Components (UR, KB, HJS, HS), pp. 754–765.
IWPCIWPC-2002-LuccaFPTC #approach #web
Comprehending Web Applications by a Clustering Based Approach (GADL, ARF, FP, PT, UdC), pp. 261–270.
WCREWCRE-2002-ShokoufandehMM
Applying Spectral Methods to Software Clustering (AS, SM, MM), pp. 3–10.
ICEISICEIS-2002-GharibMT #algorithm #using
High Dimensional Data Clustering Using SOFM And K-Means Algorithms (TFG, MGM, MFT), pp. 488–493.
ICEISICEIS-2002-SalemEKH #approach #database
A Density-Based Approach for Clustering Spatial Database (ABMS, TE, MFK, AEH), pp. 418–423.
CIKMCIKM-2002-BarbaraLC #algorithm #category theory #named
COOLCAT: an entropy-based algorithm for categorical clustering (DB, YL, JC), pp. 582–589.
CIKMCIKM-2002-HamerlyE #algorithm
Alternatives to the k-means algorithm that find better clusterings (GH, CE), pp. 600–607.
CIKMCIKM-2002-JensenBPGF #algorithm #documentation #performance
Parallelizing the buckshot algorithm for efficient document clustering (ECJ, SMB, AJP, NG, OF), pp. 684–686.
CIKMCIKM-2002-LeeYHY #effectiveness #integration #named #xml
XClust: clustering XML schemas for effective integration (MLL, LHY, WH, XY), pp. 292–299.
CIKMCIKM-2002-OrdonezO #named #performance #robust #scalability #set
FREM: fast and robust EM clustering for large data sets (CO, EO), pp. 590–599.
CIKMCIKM-2002-WangK #web
Evaluating contents-link coupled web page clustering for web search results (YW, MK), pp. 499–506.
CIKMCIKM-2002-ZhaoK #algorithm #dataset #documentation #evaluation
Evaluation of hierarchical clustering algorithms for document datasets (YZ, GK), pp. 515–524.
ECIRECIR-2002-GaussierGPC #categorisation #documentation
A Hierarchical Model for Clustering and Categorising Documents (ÉG, CG, KP, FC), pp. 229–247.
ICMLICML-2002-BasuBM
Semi-supervised Clustering by Seeding (SB, AB, RJM), pp. 27–34.
ICMLICML-2002-KamvarKM #algorithm #approach #modelling #using
Interpreting and Extending Classical Agglomerative Clustering Algorithms using a Model-Based approach (SDK, DK, CDM), pp. 283–290.
ICMLICML-2002-KleinKM #constraints #information management
From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering (DK, SDK, CDM), pp. 307–314.
ICMLICML-2002-RaskuttiFK #classification #parametricity #using
Using Unlabelled Data for Text Classification through Addition of Cluster Parameters (BR, HLF, AK), pp. 514–521.
ICPRICPR-v1-2002-CucchiaraGPSP #recursion
Building the Topological Tree by Recursive FCM Color Clustering (RC, CG, AP, SS, GP), pp. 759–762.
ICPRICPR-v1-2002-Meas-YedidTO #analysis #image #markov #random #segmentation
Color Image Segmentation Based on Markov Random Field Clustering for Histological Image Analysis (VMY, ST, JCOM), pp. 796–799.
ICPRICPR-v1-2002-MohantaMA #image #segmentation
Agglomerative Clustering for Image Segmentation (PPM, DPM, STA), pp. 664–667.
ICPRICPR-v1-2002-MuralikrishnanNR #correlation #functional #novel #process
Process Mapping and Functional Correlation in Surface Metrology: A Novel Clustering Application (BM, KN, JR), pp. 29–32.
ICPRICPR-v1-2002-NilssonH #modelling #segmentation
Model-based Segmentation of Leukocytes Clusters (BN, AH), pp. 727–730.
ICPRICPR-v1-2002-SauxB #categorisation #database #image #robust
Unsupervised Robust Clustering for Image Database Categorization (BLS, NB), pp. 259–262.
ICPRICPR-v1-2002-SinghSM #feature model #recognition
Feature Selection for Face Recognition Based on Data Partitioning (SS, MS, MM), pp. 680–683.
ICPRICPR-v2-2002-AbeM
Clustering-Based Control of Active Contour Model (TA, YM), pp. 663–667.
ICPRICPR-v2-2002-BarataP #classification #modelling #set #using
Improving Classification Rates by Modelling the Clusters of Trainings Sets in Features Space Using Mathematical Morphology Operators (TB, PP), pp. 328–331.
ICPRICPR-v2-2002-FrantiVK #bound
Branch-and-Bound Technique for Solving Optimal Clustering (PF, OV, TK), pp. 232–235.
ICPRICPR-v2-2002-KarkkainenF
Dynamic Local Search for Clustering with Unknown Number of Clusters (IK, PF), pp. 240–243.
ICPRICPR-v2-2002-KimJKS #detection #segmentation #word
Word Segmentation of Printed Text Lines Based on Gap Clustering and Special Symbol Detection (SHK, CBJ, HKK, CYS), pp. 320–323.
ICPRICPR-v2-2002-QunTHC #algorithm #automation #identification #using
Automatic Fingerprint Identification Using Cluster Algorithm (QR, JT, YH, JC), pp. 398–401.
ICPRICPR-v2-2002-RendonB #performance
Fast Hierarchical Clustering Based on Compressed Data (ER, RB), pp. 216–219.
ICPRICPR-v2-2002-ZollerHB #parametricity #segmentation
Combined Color And Texture Segmentation by Parametric Distributional Clustering (TZ, LH, JMB), pp. 627–630.
ICPRICPR-v3-2002-BresEG #documentation
Unsupervised Clustering of Text Entities in Heterogeneous Grey Level Documents (SB, VE, AG), pp. 224–227.
ICPRICPR-v3-2002-Cuesta-FrauPAN #case study #comparative #feature model
Feature Extraction Methods Applied to the Clustering of Electrocardiographic Signals. A Comparative Study (DCF, JCPC, GAG, DN), pp. 961–964.
ICPRICPR-v3-2002-GuestF #analysis #approach #image
A Clustering Approach to Corner Point Analysis in Hand Drawn Images (RMG, MCF), pp. 940–943.
ICPRICPR-v3-2002-KimCK #automation #using
Automatic Text Location Using Cluster-Based Template Matching (EYK, JSC, HJK), pp. 423–426.
ICPRICPR-v3-2002-Kwon #classification #using
Hangul Tree Classifier for Type Clustering Using Horizontal and Vertical Strokes (YBK), pp. 228–231.
ICPRICPR-v3-2002-LiS #consistency #recognition
Consistent Line Clusters for Building Recognition in CBIR (YL, LGS), pp. 952–956.
ICPRICPR-v3-2002-LiY #normalisation
Normalized Sampling for Color Clustering in Medical Diagnosis (CHL, PCY), pp. 819–822.
ICPRICPR-v3-2002-Saint-JeanF #algorithm #robust
A Robust Semi-Supervised EM-Based Clustering Algorithm with a Reject Option (CSJ, CF), pp. 399–402.
ICPRICPR-v3-2002-VuoriL #automation #comparison
A Comparison of Techniques for Automatic Clustering of Handwritten Characters (VV, JL), pp. 168–171.
ICPRICPR-v4-2002-BarataP02a #classification #modelling #set #using
Improving Classification Rates by Modelling the Clusters of Trainings Sets in Features Space Using Mathematical Morphology Operators (TB, PP), pp. 90–93.
ICPRICPR-v4-2002-FredJ #using
Data Clustering Using Evidence Accumulation (ALNF, AKJ), pp. 276–280.
ICPRICPR-v4-2002-IbrahimovSD #analysis #performance #similarity #topic
The Performance Analysis of a Chi-square Similarity Measure for Topic Related Clustering of Noisy Transcripts (OI, IKS, ND), pp. 285–288.
ICPRICPR-v4-2002-ShiYWZ
Potential-Based Hierarchical Clustering (SS, GY, DW, WZ), pp. 272–275.
ICPRICPR-v4-2002-ZhangR #kernel #scalability
A Large Scale Clustering Scheme for Kernel K-Means (RZ, AIR), pp. 289–292.
KDDKDD-2002-AntalGF #learning #network #on the
On the potential of domain literature for clustering and Bayesian network learning (PA, PG, GF), pp. 405–414.
KDDKDD-2002-BeilEX
Frequent term-based text clustering (FB, ME, XX), pp. 436–442.
KDDKDD-2002-ChungC #cvs #information retrieval #named
CVS: a Correlation-Verification based Smoothing technique on information retrieval and term clustering (CYC, BC), pp. 469–474.
KDDKDD-2002-CohenR #integration #learning #scalability #set
Learning to match and cluster large high-dimensional data sets for data integration (WWC, JR), pp. 475–480.
KDDKDD-2002-DhillonMK #classification #word
Enhanced word clustering for hierarchical text classification (ISD, SM, RK), pp. 191–200.
KDDKDD-2002-Frigui #approach #identification #named #performance #scalability #set
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets (HF), pp. 507–512.
KDDKDD-2002-KumarPW #fault
Clustering seasonality patterns in the presence of errors (MK, NRP, JW), pp. 557–563.
KDDKDD-2002-LinC #algorithm #performance #robust #self
A robust and efficient clustering algorithm based on cohesion self-merging (CRL, MSC), pp. 582–587.
KDDKDD-2002-RaskuttiFK #classification #using
Combining clustering and co-training to enhance text classification using unlabelled data (BR, HLF, AK), pp. 620–625.
KDDKDD-2002-TantrumMS #dataset #modelling #scalability
Hierarchical model-based clustering of large datasets through fractionation and refractionation (JT, AM, WS), pp. 183–190.
KDDKDD-2002-YangGY #algorithm #effectiveness #named #performance #transaction
CLOPE: a fast and effective clustering algorithm for transactional data (YY, XG, JY), pp. 682–687.
SIGIRSIGIR-2002-LiuGXZ #documentation #refinement
Document clustering with cluster refinement and model selection capabilities (XL, YG, WX, SZ), pp. 191–198.
SIGIRSIGIR-2002-PantelL #documentation
Document clustering with committees (PP, DL), pp. 199–206.
SIGIRSIGIR-2002-Zha #summary #using
Generic summarization and keyphrase extraction using mutual reinforcement principle and sentence clustering (HZ), pp. 113–120.
ECOOPECOOP-2002-TilevichS #automation #java #named
J-Orchestra: Automatic Java Application Partitioning (ET, YS), pp. 178–204.
SACSAC-2002-ChangJ #data mining #mining #scalability
A new cell-based clustering method for large, high-dimensional data in data mining applications (JWC, DSJ), pp. 503–507.
SACSAC-2002-GoldmanGBJ #behaviour #simulation
Individual-based simulation of the clustering behaviour of epidermal growth factor receptors (JPG, WJG, DB, CGJ), pp. 127–131.
SACSAC-2002-KimL #adaptation #distance #documentation #effectiveness #metric #using
An effective document clustering method using user-adaptable distance metrics (HjK, SgL), pp. 16–20.
SACSAC-2002-Sankoff
Short inversions and conserved gene clusters (DS), pp. 164–167.
SACSAC-2002-TourinoBDG #analysis #performance
Performance analysis of MPI-I/O primitives on a PC cluster (JT, JB, RD, VMG), pp. 907–912.
DACDAC-2002-AnisMEA #automation #performance #power management #reduction #using
Dynamic and leakage power reduction in MTCMOS circuits using an automated efficient gate clustering technique (MA, MM, MIE, SA), pp. 480–485.
DACDAC-2002-BonaSSZSZ #embedded #energy #estimation #optimisation
Energy estimation and optimization of embedded VLIW processors based on instruction clustering (AB, MS, DS, VZ, CS, RZ), pp. 886–891.
DATEDATE-2002-AbabeiB #statistics
Statistical Timing Driven Partitioning for VLSI Circuits (CA, KB), p. 1109.
DATEDATE-2002-CabodiCQ #image #scheduling
Dynamic Scheduling and Clustering in Symbolic Image Computation (GC, PC, SQ), pp. 150–156.
DATEDATE-2002-ChandraC #testing
Test Resource Partitioning and Reduced Pin-Count Testing Based on Test Data Compression (AC, KC), pp. 598–603.
HPCAHPCA-2002-CarreraRIB #communication
User-Level Communication in Cluster-Based Servers (EVC, SR, LI, RB), pp. 275–286.
HPCAHPCA-2002-JamiesonB #concurrent #memory management #named #thread
CableS: Thread Control and Memory Management Extensions for Shared Virtual Memory Clusters (PJ, AB), pp. 263–274.
HPCAHPCA-2002-SuhDR #memory management #monitoring #scheduling
A New Memory Monitoring Scheme for Memory-Aware Scheduling and Partitioning (GES, SD, LR), pp. 117–128.
HPDCHPDC-2002-BellCL
A High-Performance Cluster Storage Server (KB, AAC, ML), pp. 311–320.
HPDCHPDC-2002-BucurE #multi #performance
The Performance of Processor Co-Allocation in Multicluster Systems (AIDB, DHJE), p. 414.
HPDCHPDC-2002-McCombsS #network #parallel
Multigrain Parallelism for Eigenvalue Computations on Networks of Clusters (JRM, AS), pp. 143–149.
HPDCHPDC-2002-Schulz #parallel #performance #semantics #using
Using Semantic Information to Guide Efficient Parallel I/O on Clusters (MS), pp. 135–142.
LCTESLCTES-SCOPES-2002-KesslerB #architecture #code generation
Optimal integrated code generation for clustered VLIW architectures (CWK, AB), pp. 102–111.
LCTESLCTES-SCOPES-2002-QianCS #architecture
Loop fusion for clustered VLIW architectures (YQ, SC, PHS), pp. 112–119.
OSDIOSDI-2002-ShenTYC #internet #resource management
Integrated Resource Management for Cluster-based Internet Services (KS, HT, TY, LC), pp. 225–238.
PDPPDP-2002-AugeratMS #monitoring #scalability #tool support
Scalable Monitoring and Configuration Tools for Grids and Clusters (PA, CM, BdOS), pp. 147–153.
PDPPDP-2002-CanoM #energy #protocol #using
Reducing Energy Consumption in a Clustered MANET using the Intra Cluster Data-Dissemination Protocol (Icdp) (JCC, PM), pp. 411–418.
PDPPDP-2002-GutierrezPZ #on the #parallel #performance #reduction
On Improving the Performance of Data Partitioning Oriented Parallel Irregular Reductions (EG, OGP, ELZ), p. 445–?.
STOCSTOC-2002-BadoiuHI #approximate
Approximate clustering via core-sets (MB, SHP, PI), pp. 250–257.
ISSTAISSTA-2002-Stoller
Domain partitioning for open reactive systems (SDS), pp. 44–54.
WICSAWICSA-2001-MitchellRM #algorithm #architecture
An Architecture for Distributing the Computation of Software Clustering Algorithms (BSM, MT, SM), pp. 181–190.
TPDLECDL-2001-IshikawaCK #documentation #online
An On-Line Document Clustering Method Based on Forgetting Factors (YI, YC, HK), pp. 325–339.
TPDLECDL-2001-MuresanH #documentation #information management #modelling
Document Clustering and Language Models for System-Mediated Information Access (GM, DJH), pp. 438–449.
ICDARICDAR-2001-KimSJL #segmentation #word
Word Segmentation in Handwritten Korean Text Lines Based on Gap Clustering Techniques (SHK, CYS, SJ, GL), pp. 189–193.
ICDARICDAR-2001-PerroudSBH #documentation
Text Extraction from Color Documents — Clustering Approaches in Three and Four Dimensions (TP, KS, HB, LOH), pp. 937–941.
ICDARICDAR-2001-ShiOWK #distance #pseudo #recognition
Clustering with Projection Distance and Pseudo Bayes Discriminant Function for Handwritten Numeral Recognition (MS, WO, TW, FK), pp. 1007–1011.
JCDLJCDL-2001-PalmerPVCHNW #documentation #library #retrieval
Demonstration of hierarchical document clustering of digital library retrieval results (CRP, JP, REVP, MGC, AGH, TDN, HDW), p. 451.
JCDLJCDL-2001-WangD #image #retrieval #scalability #statistics #using
Scalable integrated region-based image retrieval using IRM and statistical clustering (JZW, YD), pp. 268–277.
VLDBVLDB-2001-LahiriSCMC
Cache Fusion: Extending Shared-Disk Clusters with Shared Caches (TL, VS, WC, NM, SC), pp. 683–686.
VLDBVLDB-2001-ManolopoulosT #named
C2P: Clustering based on Closest Pairs (AN, YT, YM), pp. 331–340.
ICSMEICSM-2001-MitchellM #algorithm #metric #similarity #using
Comparing the Decompositions Produced by Software Clustering Algorithms Using Similarity Measurements (BSM, SM), pp. 744–753.
WCREWCRE-2001-MitchellM #benchmark #framework #metric #named
CRAFT: A Framework for Evaluating Software Clustering Results in the Absence of Benchmark Decompositions (BSM, SM), pp. 93–102.
WCREWCRE-2001-SartipiK #component
Component Clustering Based on Maximal Association (KS, KK), pp. 103–114.
CIAACIAA-2001-KatritzkeMT #automaton #finite #image #using
Enhancements of Partitioning Techniques for Image Compression Using Weighted Finite Automata (FK, WM, MT), pp. 177–189.
FMFME-2001-SilvaSJ #hardware #parallel #process
Serialising Parallel Processes in a Hardware/Software Partitioning Context (LS, AS, GJ), pp. 344–363.
CHICHI-2001-Grudin #monitoring #multi
Partitioning digital worlds: focal and peripheral awareness in multiple monitor use (JG), pp. 458–465.
ICEISICEIS-v1-2001-Rao #algorithm #multi
An Algorithm for Determining Subspaces Containing Clusters with Multiple Minimum Density Thresholds for Numerical Data (PRR), pp. 530–532.
CIKMCIKM-2001-GrabsBS #database #information retrieval #named
PowerDB-IR — Information Retrieval on Top of a Database Cluster (TG, KB, HJS), pp. 411–418.
CIKMCIKM-2001-KrishnaK #algorithm #mining #symmetry
A Clustering Algorithm for Asymmetrically Related Data with Applications to Text Mining (KK, RK), pp. 571–573.
CIKMCIKM-2001-Leuski #documentation #information retrieval #interactive
Evaluating Document Clustering for Interactive Information Retrieval (AL), pp. 33–40.
CIKMCIKM-2001-ZhaHDGS #graph
Bipartite Graph Partitioning and Data Clustering (HZ, XH, CHQD, MG, HDS), pp. 25–32.
ICMLICML-2001-DomingosH #algorithm #machine learning #scalability
A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering (PMD, GH), pp. 106–113.
ICMLICML-2001-MarxDB #detection
Coupled Clustering: a Method for Detecting Structural Correspondence (ZM, ID, JMB), pp. 353–360.
ICMLICML-2001-PellegM
Mixtures of Rectangles: Interpretable Soft Clustering (DP, AWM), pp. 401–408.
ICMLICML-2001-SebastianiR
Clustering Continuous Time Series (PS, MR), pp. 497–504.
ICMLICML-2001-WagstaffCRS
Constrained K-means Clustering with Background Knowledge (KW, CC, SR, SS), pp. 577–584.
KDDKDD-2001-Aggarwal #effectiveness #human-computer
A human-computer cooperative system for effective high dimensional clustering (CCA), pp. 221–226.
KDDKDD-2001-ChiuFCWJ #algorithm #database #robust #scalability
A robust and scalable clustering algorithm for mixed type attributes in large database environment (TC, DF, JC, YW, CJ), pp. 263–268.
KDDKDD-2001-Dhillon #documentation #graph #using #word
Co-clustering documents and words using bipartite spectral graph partitioning (ISD), pp. 269–274.
KDDKDD-2001-HarelK #random #using
Clustering spatial data using random walks (DH, YK), pp. 281–286.
KDDKDD-2001-KaltonLWY #learning
Generalized clustering, supervised learning, and data assignment (AK, PL, KW, JPY), pp. 299–304.
KDDKDD-2001-Kandogan #coordination #multi #roadmap #using #visualisation
Visualizing multi-dimensional clusters, trends, and outliers using star coordinates (EK), pp. 107–116.
MLDMMLDM-2001-BhanuD #concept #feedback #fuzzy #learning
Concepts Learning with Fuzzy Clustering and Relevance Feedback (BB, AD), pp. 102–116.
MLDMMLDM-2001-ToivonenVVBV #documentation #validation
Validation of Text Clustering Based on Document Contents (JT, AV, TV, BB, HV), pp. 184–195.
MLDMMLDM-2001-TrinidadS #algorithm #concept #named
LC: A Conceptual Clustering Algorithm (JFMT, GSD), pp. 117–127.
SIGIRSIGIR-2001-BekkermanEWT #categorisation #on the
On Feature Distributional Clustering for Text Categorization (RB, REY, YW, NT), pp. 146–153.
SIGIRSIGIR-2001-FranzMWZ #topic
Unsupervised and Supervised Clustering for Topic Tracking (MF, JSM, TW, WJZ), pp. 310–317.
SIGIRSIGIR-2001-LeeS #image #learning #retrieval #using
Intelligent Object-based Image Retrieval Using Cluster-driven Personal Preference Learning (KML, WNS), pp. 436–437.
SIGIRSIGIR-2001-WenZN #feedback #query #using #word
Query Clustering Using Content Words and User Feedback (JRW, HZ, JYN), pp. 442–443.
ASEASE-2001-BastenB #partial order #process #reduction
Enhancing Partial-Order Reduction via Process Clustering (TB, DB), pp. 245–253.
ICSEICSE-2001-DickinsonLP #analysis #execution
Finding Failures by Cluster Analysis of Execution Profiles (WD, DL, AP), pp. 339–348.
SACSAC-2001-GuptaMP #data type #distributed #evaluation #performance #scalability
Performance evaluation of the LH*lh scalable, distributed data structure for a cluster of workstations (VG, MM, ADP), pp. 544–548.
SACSAC-2001-HuangH #approach
Finding a hamiltonian paths in tournaments on clusters — a provably communication-efficient approach (CHH, XH), pp. 549–553.
SACSAC-2001-LoiaL #automation #categorisation #documentation #fuzzy #web
Genetic-based fuzzy clustering for automatic Web document categorization (VL, PL), pp. 477–478.
SACSAC-2001-OngCC #approach #image
A simple partitioning approach to fractal image compression (GHO, CMC, YC), pp. 301–305.
DACDAC-2001-CongR #multi
Performance-Driven Multi-Level Clustering with Application to Hierarchical FPGA Mapping (JC, MR), pp. 389–394.
DACDAC-2001-GanesanV #behaviour #synthesis
Behavioral Partitioning in the Synthesis of Mixed Analog-Digital Systems (SG, RV), pp. 133–138.
DACDAC-2001-JacomeVP #architecture
Clustered VLIW Architectures with Predicated Switching (MFJ, GdV, SP), pp. 696–701.
DACDAC-2001-LapinskiiJV
High-Quality Operation Binding for Clustered VLIW Datapaths (VSL, MFJ, GdV), pp. 702–707.
DACDAC-2001-WolfeWP #graph
Watermarking Graph Partitioning Solutions (GW, JLW, MP), pp. 486–489.
DACDAC-2001-YildizM #sequence
Improved Cut Sequences for Partitioning Based Placement (MCY, PHM), pp. 776–779.
DATEDATE-2001-CheungWC #logic #using
Further improve circuit partitioning using GBAW logic perturbation techniques (CCC, YLW, DIC), pp. 233–239.
DATEDATE-2001-IrionKVW #logic #performance #synthesis
Circuit partitioning for efficient logic BIST synthesis (AI, GK, HPEV, HJW), pp. 86–91.
DATEDATE-2001-KuterB #architecture
Architecture driven partitioning (JK, EB), pp. 479–487.
DATEDATE-2001-NogueraB #algorithm #architecture #configuration management
A HW/SW partitioning algorithm for dynamically reconfigurable architectures (JN, RMB), p. 729.
DATEDATE-2001-SaitohAT #performance #scheduling
Clustering based fast clock scheduling for light clock-tree (MS, MA, AT), pp. 240–245.
DATEDATE-2001-TerechkoPE #architecture #named
PRMDL: a machine description language for clustered VLIW architectures (AT, EJDP, JTJvE), p. 821.
HPCAHPCA-2001-KailasEA #code generation #framework #named
CARS: A New Code Generation Framework for Clustered ILP Processors (KK, KE, AKA), pp. 133–143.
HPDCHPDC-2001-Cuenca-AcunaN #middleware
Cooperative Caching Middleware for Cluster-Based Servers (FMCA, TDN), pp. 303–314.
HPDCHPDC-2001-GavrilovskaSO #adaptation
Adaptable Mirroring in Cluster Servers (AG, KS, VO), pp. 3–13.
PDPPDP-2001-ArnoldELS #case study
Cluster Computing vs. Cray T3E-A Case Study from Numerical Field Theory (GA, NE, TL, KS), pp. 475–479.
PDPPDP-2001-BaragliaPHLT #algorithm #parallel #search-based
A Parallel Compact Genetic Algorithm for Multi-FPGA Partitioning (RB, RP, JIH, JL, FT), pp. 113–120.
PDPPDP-2001-BeaumontBLRR #algorithm #approximate #multi
Heterogeneous Matrix-Matrix Multiplication or Partitioning a Square into Rectangles: NP-Completeness and Approximation Algorithms (OB, VB, AL, FR, YR), pp. 298–305.
PPoPPPPoPP-2001-CarreraB #network #performance
Efficiency vs. portability in cluster-based network servers (EVC, RB), pp. 113–122.
PPoPPPPoPP-2001-LimLL #array #using
Blocking and array contraction across arbitrarily nested loops using affine partitioning (AWL, SWL, MSL), pp. 103–112.
SOSPSOSP-2001-ZdancewicZNM
Untrusted Hosts and Confidentiality: Secure Program Partitioning (SZ, LZ, NN, ACM), pp. 1–14.
STOCSTOC-2001-BartalCR #approximate #metric
Approximating min-sum k-clustering in metric spaces (YB, MC, DR), pp. 11–20.
STOCSTOC-2001-BorgsCP #integer #problem #scalability
Sharp threshold and scaling window for the integer partitioning problem (CB, JTC, BP), pp. 330–336.
STOCSTOC-2001-CharikarP
Clustering to minimize the sum of cluster diameters (MC, RP), pp. 1–10.
ADLADL-2000-PopesculFLUG #database #documentation #identification #roadmap
Clustering and Identifying Temporal Trends in Document Databases (AP, GWF, SL, LHU, CLG), pp. 173–182.
TPDLECDL-2000-RamosM #search-based #segmentation
Map Segmentation by Colour Cube Genetic K-Mean Clustering (VR, FM), pp. 319–323.
HTHT-2000-ModhaS #hypermedia #web
Clustering hypertext with applications to web searching (DSM, WSS), pp. 143–152.
SIGMODSIGMOD-2000-AggarwalY
Finding Generalized Projected Clusters In High Dimensional Spaces (CCA, PSY), pp. 70–81.
SIGMODSIGMOD-2000-OrdonezC #algorithm #named #performance #sql #using
SQLEM: Fast Clustering in SQL using the EM Algorithm (CO, PC), pp. 559–570.
SIGMODSIGMOD-2000-PalmerF #data mining #mining
Density Biased Sampling: An Improved Method for Data Mining and Clustering (CRP, CF), pp. 82–92.
CSMRCSMR-2000-AbreuPS #analysis #approach #composition #object-oriented
A Coupling-Guided Cluster Analysis Approach to Reengineer the Modularity of Object-Oriented Systems (FBeA, GP, PMAS), pp. 13–22.
IWPCIWPC-2000-KoschkeE #evaluation #framework
A Framework for Experimental Evaluation of Clustering Techniques (RK, TE), pp. 201–210.
IWPCIWPC-2000-RaysideRHK #algorithm #automation #graph #object-oriented #source code
The Effect of Call Graph Construction Algorithms for Object-Oriented Programs on Automatic Clustering (DR, SR, EH, KK), pp. 191–200.
IWPCIWPC-2000-TzerposH #algorithm #on the
On the Stability of Software Clustering Algorithms (VT, RCH), pp. 211–218.
WCREWCRE-2000-DaveyB
Evaluating the Suitability of Data Clustering for Software Remodularization (JD, EB), p. 268–?.
WCREWCRE-2000-TzerposH #algorithm #named
ACDC: An Algorithm for Comprehension-Driven Clustering (VT, RCH), pp. 258–267.
CIKMCIKM-2000-AslamPR #using
Using Star Clusters for Filtering (JAA, KP, DR), pp. 306–313.
CIKMCIKM-2000-BohmBBK #performance #similarity
High Performance Clustering Based on the Similarity Join (CB, BB, MMB, HPK), pp. 298–305.
CIKMCIKM-2000-KimL #documentation #information management
A Semi-Supervised Document Clustering Technique for Information Organization (HjK, SgL), pp. 30–37.
CIKMCIKM-2000-LiuXY
Clustering Through Decision Tree Construction (BL, YX, PSY), pp. 20–29.
ICMLICML-2000-LiB #approach #markov #modelling #using
A Bayesian Approach to Temporal Data Clustering using Hidden Markov Models (CL, GB), pp. 543–550.
ICMLICML-2000-NiyogiK #approach #reduction
An Approach to Data Reduction and Clustering with Theoretical Guarantees (PN, NK), pp. 679–686.
ICMLICML-2000-PaliourasPKS #community #scalability #web
Clustering the Users of Large Web Sites into Communities (GP, CP, VK, CDS), pp. 719–726.
ICMLICML-2000-PellegM #estimation #named #performance
X-means: Extending K-means with Efficient Estimation of the Number of Clusters (DP, AWM), pp. 727–734.
ICMLICML-2000-Reynolds #adaptation #bound #learning
Adaptive Resolution Model-Free Reinforcement Learning: Decision Boundary Partitioning (SIR), pp. 783–790.
ICMLICML-2000-WagstaffC #constraints
Clustering with Instance-level Constraints (KW, CC), pp. 1103–1110.
ICPRICPR-v1-2000-Abrantes #algorithm #analysis #multi
A Constrained Clustering Algorithm for Shape Analysis with Multiple Features (AJA), pp. 1912–1919.
ICPRICPR-v1-2000-Boujemaa #on the
On Competitive Unsupervised Clustering (NB), pp. 1631–1634.
ICPRICPR-v1-2000-GulsrudH #detection
Optimal Filter for Detection of Clustered Microcalcifications (TOG, JHH), pp. 1508–1511.
ICPRICPR-v1-2000-NoordamBB #fuzzy #geometry #image #multi #segmentation
Geometrically Guided Fuzzy C-Means Clustering for Multivariate Image Segmentation (JCN, WHAMVdB, LMCB), pp. 1462–1465.
ICPRICPR-v1-2000-RosenbergerC #estimation #image #segmentation
Unsupervised Clustering Method with Optimal Estimation of the Number of Clusters: Application to Image Segmentation (CR, KC), pp. 1656–1659.
ICPRICPR-v1-2000-SchuppEFHB #fuzzy #image #modelling #multi #segmentation
Image Segmentation via Multiple Active Contour Models and Fuzzy Clustering with Biomedical Applications (SS, AE, MJF, PH, DB), pp. 1622–1625.
ICPRICPR-v2-2000-Ben-HurSHV
A Support Vector Clustering Method (ABH, HTS, DH, VV), pp. 2724–2727.
ICPRICPR-v2-2000-BradleyRF #database #modelling #scalability #using
Clustering Very Large Databases Using EM Mixture Models (PSB, CR, UMF), pp. 2076–2080.
ICPRICPR-v2-2000-BuhmannZ #learning
Active Learning for Hierarchical Pairwise Data Clustering (JMB, TZ), pp. 2186–2189.
ICPRICPR-v2-2000-FredL #difference
Clustering Under a Hypothesis of Smooth Dissimilarity Increments (ALNF, JMNL), pp. 2190–2194.
ICPRICPR-v2-2000-GiacintoRF #classification #design #effectiveness #multi
Design of Effective Multiple Classifier Systems by Clustering of Classifiers (GG, FR, GF), pp. 2160–2163.
ICPRICPR-v2-2000-KabanG #documentation
Initialized and Guided EM-Clustering of Sparse Binary Data with Application to Text Based Documents (AK, MG), pp. 2744–2747.
ICPRICPR-v2-2000-LawK #learning #modelling #sequence
Rival Penalized Competitive Learning for Model-Based Sequence Clustering (MHCL, JTK), pp. 2195–2198.
ICPRICPR-v2-2000-MollinedaFV #classification #prototype
A Cluster-Based Merging Strategy for Nearest Prototype Classifiers (RAM, FJF, EV), pp. 2755–2758.
ICPRICPR-v2-2000-PolickerG #algorithm #fuzzy #predict
A New Algorithm for Time Series Prediction by Temporal Fuzzy Clustering (SP, ABG), pp. 2728–2731.
ICPRICPR-v2-2000-QianS
Clustering Combination Method (YQ, CYS), pp. 2732–2735.
ICPRICPR-v2-2000-RibertEL
Clustering Data: Dealing with High Density Variations (AR, AE, YL), pp. 2736–2739.
ICPRICPR-v2-2000-SanfeliuAS #graph #synthesis
Clustering of Attributed Graphs and Unsupervised Synthesis of Function-Described Graphs (AS, RA, FS), pp. 6022–6025.
ICPRICPR-v2-2000-UmRK #comparison #verification
Comparison of Clustering Methods for MLP-Based Speaker Verification (ITU, JHR, MHK), pp. 2475–2474.
ICPRICPR-v2-2000-VinokourovG #documentation #probability
Probabilistic Hierarchical Clustering Method for Organizing Collections of Text Documents (AV, MG), pp. 2182–2185.
ICPRICPR-v3-2000-LiuL #image #using
Wavelet Image Coding Using Cluster Growing Embedding (YL, YDL), pp. 3250–3253.
ICPRICPR-v3-2000-LoretteDZ #fuzzy
Fully Unsupervised Fuzzy Clustering with Entropy Criterion (AL, XD, JZ), pp. 3998–4001.
ICPRICPR-v3-2000-Manduchi #segmentation
A Cluster Grouping Technique for Texture Segmentation (RM), pp. 7072–7075.
ICPRICPR-v3-2000-PetrosinoC #fuzzy #parallel #set
Unsupervised Texture Discrimination Based on Rough Fuzzy Sets and Parallel Hierarchical Clustering (AP, MC), pp. 7100–7103.
ICPRICPR-v3-2000-Verges-LlahiSC #algorithm #constraints #graph #image #segmentation
Color Image Segmentation Solving Hard-Constraints on Graph Partitioning Greedy Algorithms (JVL, AS, JC), pp. 3629–3632.
ICPRICPR-v3-2000-XiongC #algorithm #database #fuzzy #image #towards
Towards An Unsupervised Optimal Fuzzy Clustering Algorithm for Image Database Organization (XX, KLC), pp. 3909–3912.
ICPRICPR-v3-2000-ZhangW #image #segmentation
A New Method of Color Image Segmentation Based on Intensity and Hue Clustering (CZ, PSPW), pp. 3617–3620.
ICPRICPR-v3-2000-ZouY #image
Line Image Vectorization Based on Shape Partitioning and Merging (JJZ, HY), pp. 7006–7009.
ICPRICPR-v4-2000-CordellaTV
Combining Experts with Different Features for Classifying Clustered Microcalcifications in Mammograms (LPC, FT, MV), pp. 4324–4327.
ICPRICPR-v4-2000-VeneauRB #segmentation #sequence #video
From Video Shot Clustering to Sequence Segmentation (EV, RR, PB), pp. 4254–4257.
KDDKDD-2000-BarbaraC #dataset #using
Using the fractal dimension to cluster datasets (DB, PC), pp. 260–264.
KDDKDD-2000-BeefermanB #query
Agglomerative clustering of a search engine query log (DB, ALB), pp. 407–416.
KDDKDD-2000-CadezGS #framework #probability
A general probabilistic framework for clustering individuals and objects (IVC, SG, PS), pp. 140–149.
KDDKDD-2000-CadezHMSW #modelling #navigation #using #visualisation #web
Visualization of navigation patterns on a Web site using model-based clustering (IVC, DH, CM, PS, SW), pp. 280–284.
KDDKDD-2000-McCallumNU #performance #set
Efficient clustering of high-dimensional data sets with application to reference matching (AM, KN, LHU), pp. 169–178.
SIGIRSIGIR-2000-HatzivassiloglouGM #algorithm #documentation #topic
An investigation of linguistic features and clustering algorithms for topical document clustering (VH, LG, AM), pp. 224–231.
SIGIRSIGIR-2000-Iwayama #documentation #feedback #incremental
Relevance reedback with a small number of relevance judgements: incremental relevance feedback vs. document clustering (MI), pp. 10–16.
SIGIRSIGIR-2000-SlonimT #documentation #using #word
Document clustering using word clusters via the information bottleneck method (NS, NT), pp. 208–215.
PPDPPPDP-2000-Faggian #calculus #commutative #proving
Proof construction and non-commutativity: a cluster calculus (CF), pp. 80–91.
ICSEICSE-2000-PenixVELW #kernel #verification
Verification of time partitioning in the DEOS scheduler kernel (JP, WV, EE, AL, NW), pp. 488–497.
SACSAC-2000-AlhamedL #analysis #approach #multi #using
A Clustering Approach to Multi-Model Ensemble Analysis Using SAMEX Data (AA, SL), pp. 111–116.
SACSAC-2000-BrestVZ #algorithm #sorting
A Sorting Algorithm on a PC Cluster (JB, AV, VZ), pp. 710–715.
SACSAC-2000-RudraG #adaptation #problem #using
Adaptive Use of a Cluster of PCs for Data Warehousing Applications: Some Problems and Issues (AR, RPG), pp. 698–703.
SACSAC-2000-WuL #fuzzy #named #network
F3MCNN: A Fuzzy Minimum Mean Maximum Clustering Neural Network (LGW, HL), pp. 10–14.
DACDAC-2000-CongLW #multi #performance
Performance driven multi-level and multiway partitioning with retiming (JC, SKL, CW), pp. 274–279.
DACDAC-2000-HarrisT #architecture #testing
Interconnect testing in cluster-based FPGA architectures (IGH, RT), pp. 49–54.
DACDAC-2000-McDonaldB #scheduling #simulation #using
Symbolic timing simulation using cluster scheduling (CBM, REB), pp. 254–259.
DACDAC-2000-OuP
Timing-driven placement based on partitioning with dynamic cut-net control (SLTO, MP), pp. 472–476.
DACDAC-2000-WangKS #latency #memory management #scheduling
Optimal two level partitioning and loop scheduling for hiding memory latency for DSP applications (ZW, MK, EHMS), pp. 540–545.
DATEDATE-2000-FrohlichGF #parallel #simulation
A New Partitioning Method for Parallel Simulation of VLSI Circuits on Transistor Level (NF, VG, JF), pp. 679–684.
DATEDATE-2000-GanesanV00a #configuration management #design #latency
An Integrated Temporal Partitioning and Partial Reconfiguration Technique for Design Latency Improvement (SG, RV), pp. 320–325.
DATEDATE-2000-Lopez-VallejoGL #constraints
Constraint-Driven System Partitioning (MLLV, JG, JCL), pp. 411–416.
DATEDATE-2000-NicoliciA #multi #power management
Scan Latch Partitioning into Multiple Scan Chains for Power Minimization in Full Scan Sequential Circuits (NN, BMAH), pp. 715–722.
DATEDATE-2000-Saab #algorithm #effectiveness #multi #performance
A New Effective And Efficient Multi-Level Partitioning Algorithm (YS), pp. 112–116.
DATEDATE-2000-SousaA #complexity #fault #modelling #using
Reducing the Complexity of Defect Level Modeling Using the Clustering Effect (JTdS, VDA), pp. 640–644.
HPCAHPCA-2000-CanalPG
Dynamic Cluster Assignment Mechanisms (RC, JMP, AG), pp. 133–142.
HPCAHPCA-2000-CappelloRE #modelling #performance #programming
Investigating the Performance of Two Programming Models for Clusters of SMP PCs (FC, OR, DE), pp. 349–359.
HPDCHPDC-2000-AdabalaKF #network
Interfacing Wide-Area Network Computing and Cluster Management Software: Condor, DQS and PBS via PUNCH (SA, NHK, JABF), pp. 306–307.
HPDCHPDC-2000-BianchiniC #network
Evaluating Cluster-based Network Servers (RB, EVC), pp. 63–70.
HPDCHPDC-2000-HeissRN #distributed #scalability
Distributed Processor Allocation in Large PC Clusters (HUH, CAFDR, POAN), pp. 288–289.
HPDCHPDC-2000-HwangJH #array #distributed #named
RAID-x: A New Distributed Disk Array for I/O-Centric Cluster Computing (KH, HJ, RSCH), pp. 279–286.
HPDCHPDC-2000-SumimotoTHHTI #communication #network #performance #using
High Performance Communication using a Commodity Network for Cluster Systems (SS, HT, AH, HH, TT, YI), pp. 139–146.
HPDCHPDC-2000-TanakaHSNS #evaluation #performance
Performance Evaluation of a Firewall-Compliant Globus-based Wide-Area Cluster System (YT, MH, MS, HN, SS), pp. 121–128.
HPDCHPDC-2000-XiaoZK #memory management #migration #network #ram
Incorporating Job Migration and Network RAM to Share Cluster Memory Resources (LX, XZ, SAK), pp. 71–78.
PDPPDP-2000-Czech #parallel #problem
Parallel simulated annealing for the set-partitioning problem (ZJC), pp. 343–350.
PDPPDP-2000-KozirisRTP #algorithm #architecture #graph #multi #performance #physics
An efficient algorithm for the physical mapping of clustered task graphs onto multiprocessor architectures (NK, MR, PT, GKP), pp. 406–413.
PDPPDP-2000-LefevreR #communication #multi #performance #protocol #thread
Combining low-latency communication protocols with multithreading for high performance DSM systems on clusters (LL, OR), pp. 333–340.
PDPPDP-2000-MooreKW #architecture #self
Tailoring a self-distributing architecture to a cluster computer environment (RM, BK, KW), pp. 150–157.
PDPPDP-2000-SpyropoulosPB #finite
Finite element computations on cluster of PCs and workstations (ANS, JAP, AGB), pp. 56–61.
STOCSTOC-2000-Schulman
Clustering for edge-cost minimization (LJS), pp. 547–555.
ICDARICDAR-1999-BansalS99a #string #taxonomy
Partitioning and Searching Dictionary for Correction of Optically Read Devanagari Character Strings (VB, RMKS), pp. 653–656.
ICDARICDAR-1999-JiangBW #detection #documentation #image #nearest neighbour
Skew Detection of Document Images by Focused Nearest-Neighbor Clustering (XJ, HB, DWK), pp. 629–632.
ICDARICDAR-1999-KosmalaWR #online #recognition #scalability
Advanced State Clustering for Very Large Vocabulary HMM-based On-Line Handwriting Recognition (AK, DW, GR), pp. 442–445.
ICDARICDAR-1999-WorringT #documentation #segmentation #using
Segmentation of Color Documents by Line Oriented Clustering using Spatial Information (MW, LT), pp. 67–70.
ICDARICDAR-1999-Yamasaki #automation #generative #online #prototype #recognition
Automatic Prototype Stroke Generation based on Stroke Clustering for On-Line Handwritten Japanese Character Recognition (KY), pp. 673–676.
PODSPODS-1999-Raman #database #locality #theory and practice
Locality Preserving Dictionaries: Theory and Application to Clustering in Databases (VR), pp. 337–345.
SIGMODSIGMOD-1999-AggarwalPWYP #algorithm #performance
Fast Algorithms for Projected Clustering (CCA, CMP, JLW, PSY, JSP), pp. 61–72.
SIGMODSIGMOD-1999-AnkerstBKS #identification #named
OPTICS: Ordering Points To Identify the Clustering Structure (MA, MMB, HPK, JS), pp. 49–60.
SIGMODSIGMOD-1999-HinneburgK #database #scalability
Clustering Methods for Large Databases: From the Past to the Future (AH, DAK), p. 509.
SIGMODSIGMOD-1999-JagadishLS
Snakes and Sandwiches: Optimal Clustering Strategies for a Data Warehouse (HVJ, LVSL, DS), pp. 37–48.
VLDBVLDB-1999-KeimH #towards
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering (AH, DAK), pp. 506–517.
VLDBVLDB-1999-TamuraK #mining #parallel
Dynamic Load Balancing for Parallel Association Rule Mining on Heterogenous PC Cluster Systems (MT, MK), pp. 162–173.
CSMRCSMR-1999-SousaPPA #database #reverse engineering
Clustering Relations into Abstract ER Schemas for Database Reverse Engineering (PMAS, MdLPdJ, GP, FBeA), pp. 169–177.
ICSMEICSM-1999-MancoridisMCG #maintenance #named
Bunch: A Clustering Tool for the Recovery and Maintenance of Software System Structures (SM, BSM, YFC, ERG), p. 50–?.
WCREWCRE-1999-AnquetilL
Experiments with Clustering as a Software Remodularization Method (NA, TCL), pp. 235–255.
WCREWCRE-1999-TzerposH #distance #metric #named
MoJo: A Distance Metric for Software Clusterings (VT, RCH), p. 187–?.
FMFM-v2-1999-IyodaSS #named
ParTS: A Partitioning Transformation System (JI, AS, LS), pp. 1400–1419.
HCIHCI-CCAD-1999-NakagawaN #algorithm #image
Image clustering by computer with human-oriented emergence algorithm (MN, HN), pp. 1221–1225.
ECIRACIR-1999-HarperMM #documentation #information management
Document Clustering for Mediated Information Access (DJH, MM, GM).
ECIRACIR-1999-KuralRJ #information retrieval
Clustering Information Retrieval Search Outputs (YK, SER, SJ).
CIKMCIKM-1999-EpterK #multi
A Multiple-Resolution Method for Edge-Centric Data Clustering (SE, MSK), pp. 491–498.
CIKMCIKM-1999-FerhatosmanogluAA #performance #retrieval
Clustering Declustered Data for Efficient Retrieval (HF, DA, AEA), pp. 343–350.
CIKMCIKM-1999-HuLL #scheduling
Indexing Techniques for Wireless Data Broadcast Under Data Clustering and Scheduling (QH, WCL, DLL), pp. 351–358.
CIKMCIKM-1999-WangXL #scalability #transaction #using
Clustering Transactions Using Large Items (KW, CX, BL), pp. 483–490.
ICMLICML-1999-Talavera #feature model #preprocessor
Feature Selection as a Preprocessing Step for Hierarchical Clustering (LT), pp. 389–397.
ICMLICML-1999-VaithyanathanD #documentation #learning
Model Selection in Unsupervised Learning with Applications To Document Clustering (SV, BD), pp. 433–443.
KDDKDD-1999-AggarwalGY #categorisation #on the
On the Merits of Building Categorization Systems by Supervised Clustering (CCA, SCG, PSY), pp. 352–356.
KDDKDD-1999-ChengFZ #mining
Entropy-based Subspace Clustering for Mining Numerical Data (CHC, AWCF, YZ), pp. 84–93.
KDDKDD-1999-GaffneyS #modelling
Trajectory Clustering with Mixtures of Regression Models (SG, PS), pp. 63–72.
KDDKDD-1999-GantiGR #category theory #named #summary #using
CACTUS — Clustering Categorical Data Using Summaries (VG, JG, RR), pp. 73–83.
KDDKDD-1999-LarsenA #documentation #effectiveness #linear #mining #performance #using
Fast and Effective Text Mining Using Linear-Time Document Clustering (BL, CA), pp. 16–22.
KDDKDD-1999-Oates #identification #multi #sequence
Identifying Distinctive Subsequences in Multivariate Time Series by Clustering (TO), pp. 322–326.
KDDKDD-1999-WangWLSSZ #algorithm #data mining #mining
Evaluating a Class of Distance-Mapping Algorithms for Data Mining and Clustering (JTLW, XW, KIL, DS, BAS, KZ), pp. 307–311.
KDDKDD-T-1999-KeimH #scalability #set
Clustering Techniques for Large Data Sets — from the Past to the Future (DAK, AH), pp. 141–181.
MLDMMLDM-1999-KingL #information retrieval #learning
Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval (IK, TKL), pp. 116–130.
SIGIRSIGIR-1999-XuC #distributed #modelling #retrieval
Cluster-Based Language Models for Distributed Retrieval (JX, WBC), pp. 254–261.
SASSAS-1999-JeannetHR #analysis
Dynamic Partitioning in Analyses of Numerical Properties (BJ, NH, PR), pp. 39–50.
ASEASE-1999-MaleticV #analysis #automation #semantics
Automatic Software Clustering via Latent Semantic Analysis (JIM, NV), pp. 251–254.
ASEASE-1999-Pecheur #file system #modelling #verification
Advanced Modelling and Verification Techniques Applied to a Cluster File System (CP), pp. 119–126.
ICSEICSE-1999-DeursenK #concept analysis #identification #using
Identifying Objects Using Cluster and Concept Analysis (AvD, TK), pp. 246–255.
SACSAC-1999-BrestZO #scheduling
Dynamic Scheduling on a PC Cluster (JB, VZ, MO), pp. 496–500.
SACSAC-1999-JinH #array #problem
False Sharing Problems in Cluster-Based Disk Arrays (HJ, KH), pp. 461–465.
SACSAC-1999-MarmelsteinL #approach #evolution
A New Approach for Evolving Clusters (REM, GBL), pp. 268–274.
DACDAC-1999-CaldwellKKM #development #heuristic
Hypergraph Partitioning for VLSI CAD: Methodology for Heuristic Development, Experimentation and Reporting (AEC, ABK, AAK, ILM), pp. 349–354.
DACDAC-1999-CaldwellKM
Hypergraph Partitioning with Fixed Vertices (AEC, ABK, ILM), pp. 355–359.
DACDAC-1999-ChinosiZG #parallel #simulation
Parallel Mixed-Level Power Simulation Based on Spatio-Temporal Circuit Partitioning (MC, RZ, CG), pp. 562–567.
DACDAC-1999-CongLW #optimisation #performance
Simultaneous Circuit Partitioning/Clustering with Retiming for Performance Optimization (JC, HL, CW), pp. 460–465.
DACDAC-1999-Henkel #approach #embedded #hardware #power management
A Low Power Hardware/Software Partitioning Approach for Core-Based Embedded Systems (JH), pp. 122–127.
DACDAC-1999-HurL #framework #linear
Relaxation and Clustering in a Local Search Framework: Application to Linear Placement (SWH, JL), pp. 360–366.
DACDAC-1999-KapadiaH #automation #convergence #design #standard #using
Using Partitioning to Help Convergence in the Standard-Cell Design Automation Methodology (HK, MH), pp. 592–597.
DACDAC-1999-KarypisK #multi
Multilevel k-way Hypergraph Partitioning (GK, VK), pp. 343–348.
DACDAC-1999-KaulVGO #approach #automation #configuration management #synthesis
An Automated Temporal Partitioning and Loop Fission Approach for FPGA Based Reconfigurable Synthesis of DSP Applications (MK, RV, SG, IO), pp. 616–622.
DATEDATE-1999-HwangVH #functional #power management
FSMD Functional Partitioning for Low Power (EH, FV, YCH), pp. 22–27.
DATEDATE-1999-KaulV #design #latency #runtime
Temporal Partitioning combined with Design Space Exploration for Latency Minimization of Run-Time Reconfigured Designs (MK, RV), pp. 202–209.
DATEDATE-1999-KrupnovaS #multi
Iterative Improvement Based Multi-Way Netlist Partitioning for FPGAs (HK, GS), p. 587–?.
DATEDATE-1999-RibasC #modelling
Digital MOS Circuit Partitioning with Symbolic Modeling (LR, JC), pp. 503–508.
HPDCHPDC-1999-AgbariaF #fault tolerance #named #source code
Starfish: Fault-Tolerant Dynamic MPI Programs on Clusters of Workstations (AA, RF), pp. 167–176.
HPDCHPDC-1999-CoadyOF #embedded #memory management #network #using
Using Embedded Network Processors to Implement Global Memory Management in a Workstation Cluster (YC, JSO, MJF), pp. 319–328.
HPDCHPDC-1999-KoussihAS #memory management #named
Dodo: A User-level System for Exploiting Idle Memory in Workstation Clusters (SK, AA, SS), pp. 301–308.
OSDIOSDI-1999-HuntS #automation #distributed
The Coign Automatic Distributed Partitioning System (GCH, MLS), pp. 187–200.
PDPPDP-1999-Gennaro #bound #modelling #performance
Performance models for I/O bound SPMD applications on clusters of workstations (CG), pp. 263–270.
PPoPPPPoPP-1999-KielmannHBPB #communication #named
MagPIe: MPI’s Collective Communication Operations for Clustered Wide Area Systems (TK, RFHH, HEB, AP, RB), pp. 131–140.
SOSPSOSP-1999-GovilTHR #multi #resource management #using
Cellular Disco: resource management using virtual clusters on shared-memory multiprocessors (KG, DT, YH, MR), pp. 154–169.
SOSPSOSP-1999-SaitoBL #performance #scalability
Manageability, Availability and Performance in Porcupine: A Highly Scalable, Cluster-based Mail Service (YS, BNB, HML), pp. 1–15.
STOCSTOC-1999-BorodinOR99a #algorithm #approximate #problem
Subquadratic Approximation Algorithms for Clustering Problems in High Dimensional Spaces (AB, RO, YR), pp. 435–444.
ADLADL-1998-NelsonMSZ #multi #protocol #using
NCSTRL+: Adding Multi-Discipline and Multi-Genre Support to the Dienst Protocol Using Clusters and Buckets (MLN, KM, SNTS, MZ), pp. 128–136.
HTHT-1998-HirtleSC #web
Clusters on the World Wide Web: Creating Neighborhoods of Make-Believe (SCH, MES, GC), pp. 289–290.
SIGMODSIGMOD-1998-AgrawalGGR #automation #data mining #mining
Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications (RA, JG, DG, PR), pp. 94–105.
SIGMODSIGMOD-1998-GuhaRS #algorithm #database #named #performance #scalability
CURE: An Efficient Clustering Algorithm for Large Databases (SG, RR, KS), pp. 73–84.
VLDBVLDB-1998-EsterKSWX #incremental #mining
Incremental Clustering for Mining in a Data Warehousing Environment (ME, HPK, JS, MW, XX), pp. 323–333.
VLDBVLDB-1998-GibsonKR #approach #category theory
Clustering Categorical Data: An Approach Based on Dynamical Systems (DG, JMK, PR), pp. 311–322.
VLDBVLDB-1998-SheikholeslamiCZ #approach #database #multi #named #scalability
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases (GS, SC, AZ), pp. 428–439.
ICSMEICSM-1998-BurdM #approach #component #evolution #maintenance #re-engineering #using
Investigating Component-Based Maintenance and the Effect of Software Evolution: A Reengineering Approach Using Data Clustering (EB, MM), pp. 199–207.
IWPCIWPC-1998-MancoridisMRCG #automation #source code #using
Using Automatic Clustering to Produce High-Level System Organizations of Source Code (SM, BSM, CR, YFC, ERG), pp. 45–52.
EDOCEDOC-1998-HuntS #automation #distributed
A guided tour of the Coign automatic distributed partitioning system (GCH, MLS), pp. 252–262.
ECIRACIR-1998-SmeatonBCQ #architecture #documentation #performance #retrieval
An Architecture for Efficient Document Clustering and Retrieval on a Dynamic Collection of Newspaper Texts (AFS, MB, FC, GQ).
CIKMCIKM-1998-AslamPR #information management
Static and Dynamic Information Organization with Star Clusters (JAA, KP, DR), pp. 208–217.
CIKMCIKM-1998-KimC #performance #query
Sibling Clustering of Tree-Based Spatial Indexes for Efficient Spatial Query Processing (KK, SKC), pp. 398–405.
CIKMCIKM-1998-ThomasianCL #approximate #composition
Clustering and Singular Value Decomposition for Approximate Indexing in High Dimensional Spaces (AT, VC, CSL), pp. 201–207.
ICMLICML-1998-BlockeelRR #induction #top-down
Top-Down Induction of Clustering Trees (HB, LDR, JR), pp. 55–63.
ICMLICML-1998-BradleyF
Refining Initial Points for K-Means Clustering (PSB, UMF), pp. 91–99.
ICPRICPR-1998-HofmanJ #analysis #approach #performance #robust #using
Robust and efficient cluster analysis using a shared near neighbours approach (IH, RAJ), pp. 243–247.
ICPRICPR-1998-HuYY #algorithm #string
Algorithms for partitioning path construction of handwritten numeral strings (JH, DY, HY), pp. 372–374.
ICPRICPR-1998-KosmalaR98a #online #recognition #scalability #self #using
Tree-based state clustering using self-organizing principles for large vocabulary on-line handwriting recognition (AK, GR), pp. 1313–1315.
ICPRICPR-1998-PalubinskasDK #using
An unsupervised clustering method using the entropy minimization (GP, XD, FK), pp. 1816–1818.
ICPRICPR-1998-Rizzi #approach #graph #search-based
A genetic approach to hierarchical clustering of Euclidean graphs (SR), pp. 1543–1545.
ICPRICPR-1998-SimonB #analysis #image
WaveStat-cluster analysis of image data and wavelet coefficients (US, MB), pp. 1622–1625.
ICPRICPR-1998-WakaharaO
Extended mean shift in handwriting clustering (TW, KO), pp. 384–388.
ICPRICPR-1998-Yamasaki #automation #categorisation #online #recognition
Automatic allograph categorization based on stroke clustering for online handwritten Japanese character recognition (KY), pp. 1150–1152.
ICPRICPR-1998-ZhaoO #adaptation
Adaptive local thresholding with fuzzy-validity-guided spatial partitioning (XZ, SHO), pp. 988–990.
KDDKDD-1998-BradleyFR #algorithm #database #scalability
Scaling Clustering Algorithms to Large Databases (PSB, UMF, CR), pp. 9–15.
KDDKDD-1998-FayyadRB #algorithm #refinement
Initialization of Iterative Refinement Clustering Algorithms (UMF, CR, PSB), pp. 194–198.
KDDKDD-1998-HinneburgK #approach #database #multi #performance #scalability
An Efficient Approach to Clustering in Large Multimedia Databases with Noise (AH, DAK), pp. 58–65.
KDDKDD-1998-KeoghP #classification #feedback #performance #representation
An Enhanced Representation of Time Series Which Allows Fast and Accurate Classification, Clustering and Relevance Feedback (EJK, MJP), pp. 239–243.
KDDKDD-1998-MacskassyBDH #case study #performance #web
Human Performance on Clustering Web Pages: A Preliminary Study (SAM, AB, BDD, HH), pp. 264–268.
SIGIRSIGIR-1998-BakerM #classification #word
Distributional Clustering of Words for Text Classification (LDB, AM), pp. 96–103.
SIGIRSIGIR-1998-MechkourHM #using #web
The WebCluster Project: Using Clustering for Mediating Access to the World Wide Web (MM, DJH, GM), pp. 357–358.
SIGIRSIGIR-1998-ZamirE #documentation #web
Web Document Clustering: A Feasibility Demonstration (OZ, OE), pp. 46–54.
OOPSLAOOPSLA-1998-McAuliffeCS #fine-grained #flexibility #named
Vclusters: A Flexible, Fine-Grained Object Clustering Mechanism (MLM, MJC, MHS), pp. 230–243.
SASSAS-1998-HandjievaT #analysis #control flow #using
Refining Static Analyses by Trace-Based Partitioning Using Control Flow (MH, ST), pp. 200–214.
ICSEICSE-1998-AnquetilL #concept
Extracting Concepts from File Names: A New File Clustering Criterion (NA, TCL), pp. 84–93.
SACSAC-1998-AbunawassBDL #algorithm #convergence #fuzzy
Fuzzy clustering improves convergence of the backpropagation algorithm (AMA, OSB, MD, WL), pp. 277–281.
SACSAC-1998-BeschP #approach
A group theoretic approach to data and code partitioning (MB, HWP), pp. 575–583.
SACSAC-1998-Sterling
Beowulf PC clusters: breaking the cost barrier to high end application computing (TLS), p. 1.
SACSAC-1998-WaldenBH #approximate #fuzzy #multi #using
Evaluating multi-valued inverse functions using clustering and fuzzy approximations (MAW, MB, AH), pp. 74–79.
ASPLOSASPLOS-1998-PaiABSDZN #network
Locality-Aware Request Distribution in Cluster-based Network Servers (VSP, MA, GB, MS, PD, WZ, EMN), pp. 205–216.
DACDAC-1998-FangW #functional #multi #replication #using
Performance-Driven Multi-FPGA Partitioning Using Functional Clustering and Replication (WJF, ACHW), pp. 283–286.
DACDAC-1998-SeawrightM #optimisation
Partitioning and Optimizing Controllers Synthesized from Hierarchical High-Level Descriptions (AS, WM), pp. 770–775.
DATEDATE-1998-GrimmW #hybrid
Repartitioning and Technology-Mapping of Electronic Hybrid Systems (CG, KW), pp. 52–58.
DATEDATE-1998-GrodeKM #hardware #resource management
Hardware Resource Allocation for Hardware/Software Partitioning in the LYCOS System (JG, PVK, JM), pp. 22–27.
DATEDATE-1998-KaulV #architecture #configuration management #synthesis
Optimal Temporal Partitioning and Synthesis for Reconfigurable Architectures (MK, RV), pp. 389–396.
DATEDATE-1998-Lopez-VallejoIL #knowledge-based
A Knowledge-based System for Hardware-Software Partitioning (MLLV, CAI, JCL), pp. 914–915.
DATEDATE-1998-MaestroMM #estimation #hardware #parallel #process
A Macroscopic Time and Cost Estimation Model Allowing Task Parallelism and Hardware Sharing for the Codesign Partitioning Process (JAM, DM, HM), pp. 218–225.
DATEDATE-1998-RoyAB #named #power management
PowerShake: A Low Power Driven Clustering and Factoring Methodology for Boolean Expressions (SR, HA, PB), pp. 967–968.
DATEDATE-1998-SongSZ #concept #effectiveness
An Effective General Connectivity Concept for Clustering (JS, ZS, WZ), pp. 398–405.
DATEDATE-1998-SrinivasanRV #design #hardware
Hardware Software Partitioning with Integrated Hardware Design Space Exploration (VS, SR, RV), pp. 28–35.
HPCAHPCA-1998-Arpaci-DusseauACHP #architecture #comparison #streaming
The Architectural Costs of Streaming I/O: A Comparison of Workstations, Clusters, and SMPs (RHAD, ACAD, DEC, JMH, DAP), pp. 90–101.
HPCAHPCA-1998-MogaD #effectiveness #network
The Effectiveness of SRAM Network Caches in Clustered DSMs (AM, MD), pp. 103–112.
HPCAHPCA-1998-SamantaBIS #design #performance #protocol
Home-Based SVM Protocols for SMP Clusters: Design and Performance (RS, AB, LI, JPS), pp. 113–124.
HPCAHPCA-1998-ScalesGA #distributed #memory management
Fine-Grain Software Distributed Shared Memory on SMP Clusters (DJS, KG, AA), pp. 125–136.
HPDCHPDC-1998-AndersenA #case study #implementation #multi
Implementation and Utilization of a Heterogeneous Multicomputer Cluster for the Study of Load Balancing Strategies (PHA, JKA), pp. 362–363.
HPDCHPDC-1998-AndresenM #distributed #scheduling #towards
Towards a Hierarchical Scheduling System for Distributed WWW Server Clusters (DA, TM), pp. 301–308.
HPDCHPDC-1998-ChenT #distributed
Mesh Partitioning for Distributed Systems (JC, VET), pp. 292–300.
HPDCHPDC-1998-GianniniC #architecture #communication #performance
A Software Architecture for Global Address Space Communication on Clusters: Put/Get on Fast Messages (LAG, AAC), pp. 330–337.
HPDCHPDC-1998-OguchiSTK #data mining #effectiveness #evaluation #mining #optimisation #parallel #parametricity #protocol #scalability
Optimizing Protocol Parameters to Large Scale PC Cluster and Evaluation of its Effectiveness with Parallel Data Mining (MO, TS, TT, MK), pp. 34–41.
HPDCHPDC-1998-ParkD #architecture
The Effect of Clustering in Client-Caching Architectures (JHP, AD), pp. 354–355.
HPDCHPDC-1998-RoyC #distributed #memory management #multi #named #string #symmetry
Strings: A High-Performance Distributed Shared Memory for Symmetrical Multiprocessor Clusters (SR, VC), pp. 90–97.
HPDCHPDC-1998-ZhuYZWIS #adaptation #library
Adaptive Load Sharing for Clustered Digital Library Servers (HZ, TY, QZ, DW, OHI, TRS), pp. 235–242.
LCTESLCTES-1998-AnantharamanP #embedded #memory management #performance
An Efficient Data Partitioning Method for Limited Memory Embedded Systems (SA, SP), pp. 108–222.
PDPPDP-1998-Allison #network
Virtual networks and QoS for cluster computing (CA), pp. 127–132.
PDPPDP-1998-BeckZU #architecture #dependence #graph
Architecture-dependent partitioning of dependence graphs (MB, EZ, TU), pp. 70–76.
PDPPDP-1998-GilO #generative #parallel #testing #using
Parallel test generation using circuit partitioning and spectral techniques (CG, JO), pp. 264–270.
PDPPDP-1998-JungLK #multi #performance
Performance issues of message transmission on cluster-based multicomputer (SIJ, JKL, HJK), pp. 422–428.
ICDARICDAR-1997-HobbyH #documentation #image
Enhancing Degraded Document Images via Bitmap Clustering and Averaging (JDH, TKH), pp. 394–400.
ICDARICDAR-1997-VuurpijlS #categorisation
Finding structure in diversity: a hierarchical clustering method for the categorization of allographs in handwriting (LV, LS), p. 387–?.
WCREWCRE-1997-Wiggerts #algorithm #legacy #using
Using Clustering Algorithms in Legacy Systems Remodularization (TAW), pp. 33–43.
ICALPICALP-1997-KhannaMS #array #performance
Efficient Array Partitioning (SK, SM, SS), pp. 616–626.
CIAAWIA-1997-Ziadi #automaton #problem #set #sorting
Sorting and Doubling Techniques for Set Partitioning and Automata Minimization Problems (DZ), pp. 241–251.
FMFME-1997-SilvaSB #hardware #normalisation #reduction
A Normal Form Reduction Strategy for Hardware/Software Partitioning (LS, AS, EB), pp. 624–643.
CHICHI-1997-KominekK #concept #multi
Accessing Multimedia through Concept Clustering (JK, RK), pp. 19–26.
CAiSECAiSE-1997-GoncalvesSM #web
Digital Neighbourhoods: Partitioning the Web for Information Indexing and Searching (PFG, ACS, SRdLM), pp. 289–302.
ICMLICML-1997-DevaneyR #concept #feature model #performance
Efficient Feature Selection in Conceptual Clustering (MD, AR), pp. 92–97.
KDDKDD-1997-Ketterlin #sequence
Clustering Sequences of Complex Objects (AK), pp. 215–218.
KDDKDD-1997-SmythGIRF #detection #using
Detecting Atmospheric Regimes Using Cross-Validated Clustering (PS, MG, KI, JR, AF), pp. 61–66.
KDDKDD-1997-ZamirEMK #documentation #performance #web
Fast and Intuitive Clustering of Web Documents (OZ, OE, OM, RMK), pp. 287–290.
SIGIRSIGIR-1997-AnickV #information retrieval
Exploiting Clustering and Phrases for Context-based Information Retrieval (PGA, SV), pp. 314–323.
SIGIRSIGIR-1997-SchuetzeS #documentation #performance
Projections for Efficient Document Clustering (HS, CS), pp. 74–81.
SIGIRSIGIR-1997-SilversteinP #corpus #set
Almost-Constant-Time Clustering of Arbitrary Corpus Subsets (CS, JOP), pp. 60–66.
POPLPOPL-1997-Ruf #analysis #data flow #using
Partitioning Dataflow Analyses Using Types (ER), pp. 15–26.
SACSAC-1997-DamianiT #analysis
Dynamic clustering for technology-based domain analysis (TDA) (ED, ADT), pp. 204–206.
SACSAC-1997-LiuLS #concurrent #multi #performance #thread
An efficient processor partitioning and thread mapping strategy for mesh-connected multiprocessor systems (HL, WML, YS), pp. 403–412.
SACSAC-1997-MoonLK #2d #search-based
Genetic VLSI circuit partitioning with two-dimensional geographic crossover and zigzag mapping (BRM, YSL, CKK), pp. 274–278.
DACDAC-1997-AgrawalG #behaviour #data flow #embedded
Data-Flow Assisted Behavioral Partitioning for Embedded Systems (SA, RKG), pp. 709–712.
DACDAC-1997-AlpertHK #multi
Multilevel Circuit Partitioning (CJA, JHH, ABK), pp. 530–533.
DACDAC-1997-BakshiG #hardware #pipes and filters
Hardware/Software Partitioning and Pipelining (SB, DG), pp. 713–716.
DACDAC-1997-CabodiCLQ #approach #effectiveness #scalability #traversal
Disjunctive Partitioning and Partial Iterative Squaring: An Effective Approach for Symbolic Traversal of Large Circuits (GC, PC, LL, SQ), pp. 728–733.
DACDAC-1997-FangW #design #multi
Multi-Way FPGA Partitioning by Fully Exploiting Design Hierarchy (WJF, ACHW), pp. 518–521.
DACDAC-1997-KarypisAKS #multi
Multilevel Hypergraph Partitioning: Application in VLSI Domain (GK, RA, VK, SS), pp. 526–529.
DACDAC-1997-KrupnovaAS
A Hierarchy-Driven FPGA Partitioning Method (HK, AA, GS), pp. 522–525.
DACDAC-1997-KuoC #approach #network
A Network Flow Approach for Hierarchical Tree Partitioning (MTK, CKC), pp. 512–517.
DACDAC-1997-XuGC #refinement
Cluster Refinement for Block Placement (JX, PNG, CKC), pp. 762–765.
DATEEDTC-1997-GovindarajanV #algorithm #heuristic
Cone-based clustering heuristic for list-scheduling algorithms (SG, RV), pp. 456–462.
DATEEDTC-1997-SeongK #design #layout
Two-way partitioning based on direction vector [layout design] (KSS, CMK), pp. 306–310.
DATEEDTC-1997-Vahid #functional
Procedure cloning: a transformation for improved system-level functional partitioning (FV), pp. 487–492.
HPCAHPCA-1997-LimHPS #communication #performance
Message Proxies for Efficient, Protected Communication on SMP Clusters (BHL, PH, PP, MS), pp. 116–127.
HPDCHPDC-1997-LeichtlCC #parallel #programming
Parallel Programming in Multi-Paradigm Clusters (JL, PC, MJC), pp. 326–335.
HPDCHPDC-1997-RosuSF #approach #interface #network #parallel
Supporting Parallel Applications on Clusters of Workstations: The Intelligent Network Interface Approach (MCR, KS, RF), pp. 159–168.
PDPPDP-1997-DeckerD
Mapping of coarse-grained applications onto workstation clusters (TD, RD), pp. 5–12.
PDPPDP-1997-Rabenseifner #logic #monitoring #parallel
The controlled logical clock--a global time for trace-based software monitoring of parallel applications in workstation clusters (RR), pp. 477–484.
PDPPDP-1997-SenarRCL #approach #parallel #performance #source code
An efficient clustering-based approach for mapping parallel programs (MAS, AR, AC, EL), pp. 407–412.
PPoPPPPoPP-1997-Hascoet #automation #parallel
Automatic Placement of Communications in Mesh-Partitioning Parallelization (LH), pp. 136–144.
SOSPSOSP-1997-FoxGCB #network #scalability
Cluster-Based Scalable Network Services (AF, SDG, YC, EAB, PG), pp. 78–91.
SOSPSOSP-1997-StetsDHHKPS #memory management #named #network
Cashmere-2L: Software Coherent Shared Memory on a Clustered Remote-Write Network (RS, SD, NH, GCH, LIK, SP, MLS), pp. 170–183.
STOCSTOC-1997-CharikarCFM #incremental #information management #information retrieval
Incremental Clustering and Dynamic Information Retrieval (MC, CC, TF, RM), pp. 626–635.
DL-1996-KelloggS #hypermedia #library #problem #question
Text to Hypertext: Can Clustering Solve the Problem in Digital Libraries? (RBK, MS), pp. 144–150.
HTHT-1996-WeissVSNSDG #hypermedia #named #network
HyPursuit: A Hierarchical Network Search Engine that Exploits Content-Link Hypertext Clustering (RW, BV, MAS, CN, PS, AD, DKG), pp. 180–193.
SIGMODSIGMOD-1996-ZhangRL #database #named #performance #scalability
BIRCH: An Efficient Data Clustering Method for Very Large Databases (TZ, RR, ML), pp. 103–114.
VLDBVLDB-1996-DiwanRSS
Clustering Techniques for Minimizing External Path Length (AAD, SR, SS, SS), pp. 342–353.
ICSMEICSM-1996-MancoridisH #graph #using
Recovering the Structure of Software Systems Using Tube Graph Interconnection Clustering (SM, RCH), p. 23–?.
WPCWPC-1996-Kunz #automation #comprehension #process
Evaluating process clusters to support automatic program understanding (TK), pp. 198–207.
ICFPICFP-1996-WiseW #pointer #thread
Static and Dynamic Partitioning of Pointers as Links and Threads (DSW, JW), pp. 42–49.
CIKMCIKM-1996-HuangJR #database #effectiveness #graph #query
Effective Graph Clustering for Path Queries in Digital Map Databases (YWH, NJ, EAR), pp. 215–222.
ICPRICPR-1996-ArumugaveluR #algorithm
SIMD algorithms for single link and complete link pattern clustering (SA, NR), pp. 625–629.
ICPRICPR-1996-BajcsyA
Uniformity and homogeneity-based hierarchical clustering (PB, NA), pp. 96–100.
ICPRICPR-1996-DucSB #automation #fuzzy #segmentation
Motion segmentation by fuzzy clustering with automatic determination of the number of motions (BD, PS, JB), pp. 376–380.
ICPRICPR-1996-FredL
A minimum code length technique for clustering of syntactic patterns (ALNF, JMNL), pp. 680–684.
ICPRICPR-1996-HeA #approach #documentation #string
A clustering-based approach to the separation of text strings from mixed text/graphics documents (SH, NA), pp. 706–710.
ICPRICPR-1996-JuddMJ #parallel #scalability
Large-scale parallel data clustering (DJ, PKM, AKJ), pp. 488–493.
ICPRICPR-1996-MariD #fuzzy #segmentation
A segmentation method based on fuzzy topology and clustering (MM, SGD), pp. 565–569.
ICPRICPR-1996-MollerGW #network #performance
Fast vector quantizer on neural clustering networks providing globally optimal cluster solutions (UM, MG, HW), pp. 351–355.
ICPRICPR-1996-Roberts #analysis
Scale-space unsupervised cluster analysis (SJR), pp. 106–110.
ICPRICPR-1996-Schikuta #named #performance #scalability #set
Grid-clustering: an efficient hierarchical clustering method for very large data sets (ES), pp. 101–105.
ICPRICPR-1996-SenguptaB #using
Using spectral features for modelbase partitioning (KS, KLB), pp. 65–69.
ICPRICPR-1996-Sinclair96a #analysis
Cluster-based texture analysis (DS), pp. 825–829.
ICPRICPR-1996-YeungY #segmentation #video
Time-constrained clustering for segmentation of video into story units (MMY, BLY), pp. 375–380.
KDDKDD-1996-EsterKSX #algorithm #database #scalability
A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise (ME, HPK, JS, XX), pp. 226–231.
KDDKDD-1996-HofmannB
Inferring Hierarchical Clustering Structures by Deterministic Annealing (TH, JMB), pp. 363–366.
KDDKDD-1996-Smyth #monte carlo #using
Clustering Using Monte Carlo Cross-Validation (PS), pp. 126–133.
SIGIRSIGIR-1996-HearstP #retrieval
Reexamining the Cluster Hypothesis: Scatter/Gather on Retrieval Results (MAH, JOP), pp. 76–84.
ECOOPECOOP-1996-BullatS #database #effectiveness #using
Dynamic Clustering in Object Databases Exploiting Effective Use of Relationships Between Objects (FB, MS), pp. 344–365.
REICRE-1996-HsiaHKH #composition #requirements
User-Centered System Decomposition: Z-Based Requirements Clustering (PH, CTH, DCK, LBH), pp. 126–135.
SACSAC-1996-DoroodchiR #fuzzy
Nonlinear smoothing of signals by applying fuzzy clustering to local points (MD, AMR), pp. 595–599.
SACSAC-1996-KulkarniM #fuzzy #modelling #network
Fuzzy neural network models for clustering (ADK, VKM), pp. 523–528.
SACSAC-1996-OuyangC #design #reuse #specification #usability
Enhancing design reusability by clustering specifications (YO, DLC), pp. 493–499.
ASPLOSASPLOS-1996-ErlichsonNCH #distributed #memory management #named #performance
SoftFLASH: Analyzing the Performance of Clustered Distributed Virtual Shared Memory (AE, NN, GC, JLH), pp. 210–220.
DACDAC-1996-BinhISH #algorithm #design #hardware #pipes and filters
A Hardware/Software Partitioning Algorithm for Designing Pipelined ASIPs with Least Gate Counts (NNB, MI, AS, NH), pp. 527–532.
DACDAC-1996-DuttD #approach
A Probability-Based Approach to VLSI Circuit Partitioning (SD, WD), pp. 100–105.
DACDAC-1996-Johannes
Partitioning of VLSI Circuits and Systems (FMJ), pp. 83–87.
DACDAC-1996-KuoLC #network
Network Partitioning into Tree Hierarchies (MTK, LTL, CKC), pp. 477–482.
DACDAC-1996-LiLLC #approach #linear
New Spectral Linear Placement and Clustering Approach (JL, JL, LTL, CKC), pp. 88–93.
DACDAC-1996-MehtaOI #energy
Energy Characterization based on Clustering (HM, RMO, MJI), pp. 702–707.
HPCAHPCA-1996-KarlssonS #evaluation #multi #performance
Performance Evaluation of a Cluster-Based Multiprocessor Built from ATM Switches and Bus-Based Multiprocessor Servers (MK, PS), pp. 4–13.
HPCAHPCA-1996-MarkatosK #named #network #parallel
Telegraphos: High-Performance Networking for Parallel Processing on Workstation Clusters (EPM, MK), pp. 144–153.
HPCAHPCA-1996-NayfehOS #multi
The Impact of Shared-Cache Clustering in Small-Scale Shared-Memory Multiprocessors (BAN, KO, JPS), pp. 74–84.
HPDCHPDC-1996-CarterLA #comparison #performance
Commodity Clusters: Performance Comparison Between PC’s and Workstations (RC, JL, RA), pp. 292–304.
HPDCHPDC-1996-Chan #parallel
Task Partitionings for Parallel Triangular Solver on an MIMD Computer (JQ, TKYC), pp. 365–373.
HPDCHPDC-1996-CrandallSC #comparison #multi #performance
Performance Comparison of Desktop Multiprocessing and Workstation Cluster Computing (PC, EVS, MJC), pp. 272–281.
HPDCHPDC-1996-NicklasASW #parallel #problem
A Parallel Solution to the Cutting Stock Problem for a Cluster of Workstations (LDN, RWA, SS, PYW), pp. 521–530.
HPDCHPDC-1996-SarkarB #interface #named #network
CNI: A High-Performance Network Interface for Workstation Clusters (PS, MLB), pp. 151–160.
HPDCHPDC-1996-SolimanE #adaptation #distributed #performance #simulation
An Efficient Clustered Adaptive-Risk Technique for Distributed Simulation (HMS, ASE), pp. 383–391.
PDPPDP-1996-BenkahlaAR #architecture #parallel
System-Diagnosis of Cluster-Based Parallel Architectures (OEKB, CA, CR), pp. 305–309.
CADECADE-1996-ParkG #satisfiability #scalability #testing
Partitioning Methods for Satisfiability Testing on Large Formulas (TJP, AVG), pp. 748–762.
ICDARICDAR-v1-1995-HochbergKKT #automation #identification #image #using
Automatic script identification from images using cluster-based templates (JH, LK, PK, TT), pp. 378–381.
ICDARICDAR-v1-1995-JonkS #approach #axiom
An axiomatic approach to clustering line-segments (AJ, AWMS), pp. 386–389.
ICDARICDAR-v1-1995-LeeT #modelling #recognition #semantics #word
A language model based on semantically clustered words in a Chinese character recognition system (HJL, CHT), pp. 450–453.
ICDARICDAR-v1-1995-TsudaSMI #database #documentation #image
Clustering OCR-ed texts for browsing document image database (KT, SS, MM, KI), pp. 171–174.
ICDARICDAR-v2-1995-DengelD #approach #classification #documentation #machine learning
Clustering and classification of document structure-a machine learning approach (AD, FD), pp. 587–591.
ICDARICDAR-v2-1995-FanLW #approach #documentation #segmentation
A feature point clustering approach to the segmentation of form documents (KCF, JML, JYW), pp. 623–626.
ICDARICDAR-v2-1995-LeeK95c #multi #network #recognition
Multiresolution recognition of handwritten numerals with wavelet transform and multilayer cluster neural network (SWL, YJK), pp. 1010–1013.
ICDARICDAR-v2-1995-TakahashiM
A clustering method and radius tuning by end users (HT, KMM), pp. 698–701.
PODSPODS-1995-PagelSW
Window Query-Optimal Clustering of Spatial Objects (BUP, HWS, MW), pp. 86–94.
VLDBVLDB-1995-ChenRS #database
Declustering Databases on Heterogeneous Disk Systems (LTC, DR, SS), pp. 110–121.
VLDBVLDB-1995-GardarinGT #cost analysis #database #object-oriented
A Cost Model for Clustered Object-Oriented Databases (GG, JRG, ZHT), pp. 323–334.
VLDBVLDB-1995-MogiK #array
Hot Block Clustering for Disk Arrays with Dynamic Striping (KM, MK), pp. 90–99.
CIKMCIKM-1995-Teuhola #effectiveness #linear
Effective Clustering of Objects Stored by Linear Hashing (JT), pp. 274–280.
KDDKDD-1995-EsterKX #database #interface #scalability
A Database Interface for Clustering in Large Spatial Databases (ME, HPK, XX), pp. 94–99.
KDDKDD-1995-Fisher #optimisation
Optimization and Simplification of Hierarchical Clusterings (DF), pp. 118–123.
KDDKDD-1995-KetterlinGK #approach #concept #database
Conceptual Clustering in Structured Databases: A Practical Approach (AK, PG, JJK), pp. 180–185.
SIGIRSIGIR-1995-BooksteinKR #detection #word
Detecting Content-Bearing Words by Serial Clustering (AB, STK, TR), pp. 319–327.
SIGIRSIGIR-1995-IwayamaT #categorisation #comparison
Cluster-Based Text Categorization: A Comparison of Category Search Strategies (MI, TT), pp. 273–280.
SIGIRSIGIR-1995-Ornager #analysis #database #empirical #image #word
The Newspaper Image Database: Empirical Supported Analysis of Users’ Typology and Word Association Clusters (SO), pp. 212–218.
POPLPOPL-1995-SchauserCG #algorithm #constraints #source code #strict #thread
Separation Constraint Partitioning — A New Algorithm for Partitioning Non-strict Programs into Sequential Threads (KES, DEC, SCG), pp. 259–271.
SASSAS-1995-Coorg #code generation #concurrent #functional #multi #strict #thread
Partitioning Non-strict Functional Languages for Multi-threaded Code Generation (SRC), pp. 82–99.
SACSAC-1995-CarchioloM #approach #co-evolution #design #fuzzy
A fuzzy approach to co-design system partitioning (VC, MM), pp. 514–518.
DACDAC-1995-AlpertY
Spectral Partitioning: The More Eigenvectors, The Better (CJA, SZY), pp. 195–200.
DACDAC-1995-LiuKCH #approach #graph #replication #using
Performance-Driven Partitioning Using a Replication Graph Approach (LTL, MTK, CKC, TCH), pp. 206–210.
DACDAC-1995-NakamuraY #logic #matrix #optimisation #scalability
A Partitioning-Based Logic Optimization Method for Large Scale Circuits with Boolean Matrix (YN, TY), pp. 653–657.
DACDAC-1995-SawkarT #multi
Multi-way Partitioning for Minimum Delay for Look-Up Table Based FPGAs (PS, DET), pp. 201–205.
HPDCHPDC-1995-Crandall #composition
The Limited Applicability of Block Decomposition in Cluster Computing (PC), pp. 102–109.
HPDCHPDC-1995-DowdPCHC #configuration management #named #network #scalability
LIGHTNING: A Scalable Dynamically Reconfigurable Hierarchical WDM Network for High-Performance Clustering (PWD, JAP, JCC, DCH, DC), pp. 220–229.
HPDCHPDC-1995-RamanjuanBT #approach #memory management #network #parallel
Network Shared Memory: A New Approach for Clustering Workstations for Parallel Processing (RSR, JB, KJT), pp. 48–56.
HPDCHPDC-1995-Skordos #parallel #simulation
Parallel Simulation of Subsonic Fluid Dynamics on a Cluster of Workstations (PS), pp. 6–16.
HPDCHPDC-1995-Woodward #distributed #multi #simulation
Distributed Computing on Clusters of Shared-Memory Multiprocessors to Simulate Unsteady Turbulent Flows (PRW), p. 4.
LCTESLCT-RTS-1995-KopetzN #compilation #design #realtime
The Cluster Compiler — A Tool for the Design of Time-Triggered Real-Time Systems (HK, RN), pp. 108–116.
LCTESLCT-RTS-1995-Mueller #compilation
Compiler Support for Software-Based Cache Partitioning (FM), pp. 125–133.
PDPPDP-1995-DormannsH #scalability #self
Partitioning and mapping of large FEM-graphs by self-organization (MD, HUH), pp. 227–235.
PDPPDP-1995-MartinFTB #difference #distributed #equation #parallel #simulation
Distributed parallel computers versus PVM on a workstation cluster in the simulation of time dependent partial differential equations (IML, JCF, FT, AB), pp. 20–26.
PDPPDP-1995-PoloGHMMN #database #parallel
Multi-dimensional partitioning for massively parallel database machines (APM, MBG, JHN, JMM, PdM, MMNR), pp. 244–253.
SOSPSOSP-1995-FeeleyMPKL #implementation #memory management
Implementing Global Memory Management in a Workstation Cluster (MJF, WEM, FHP, ARK, HML, CAT), pp. 201–212.
HTHT-ECHT-1994-MukherjeaFH #hypermedia #interactive #navigation
Interactive Clustering for Navigating in Hypermedia Systems (SM, JDF, SEH), pp. 136–145.
PODSPODS-1994-HuaLL
A Decomposition-Based Simulated Annealing Technique for Data Clustering (KAH, SDL, WKL), pp. 117–128.
SIGMODSIGMOD-1994-McIverK #adaptation #online #self
Self-Adaptive, On-Line Reclustering of Complex Object Data (WJMJ, RK), pp. 407–418.
VLDBVLDB-1994-BrinkhoffK #database
The Impact of Global Clustering on Spatial Database Systems (TB, HPK), pp. 168–179.
VLDBVLDB-1994-NgH #data mining #effectiveness #mining #performance
Efficient and Effective Clustering Methods for Spatial Data Mining (RTN, JH), pp. 144–155.
CIKMCIKM-1994-Shrufi #performance #policy
Performance of Clustering Policies in Object Bases (AS), pp. 80–87.
REICRE-1994-LiangP #approach #pattern matching #requirements
A pattern matching and clustering based approach for supporting requirements transformation (JL, JDP), pp. 180–183.
SACSAC-1994-GentherG #automation #classification #fuzzy #generative #using
Automatic generation of a fuzzy classification system using fuzzy clustering methods (HG, MG), pp. 180–183.
CCCC-1994-DuesterwaldGS #congruence #cost analysis #data flow
Reducing the Cost of Data Flow Analysis By Congruence Partitioning (ED, RG, MLS), pp. 357–373.
DACDAC-1994-AlpertK #multi #programming
Multi-Way Partitioning Via Spacefilling curves and Dynamic Programming (CJA, ABK), pp. 652–657.
DACDAC-1994-BuiM #algorithm #hybrid #performance #problem #search-based
A Fast and Stable Hybrid Genetic Algorithm for the Ratio-Cut Partitioning Problem on Hypergraphs (TNB, BRM), pp. 664–669.
DACDAC-1994-ChouLCDL #logic
Circuit Partitioning for Huge Logic Emulation Systems (NCC, LTL, CKC, WJD, RL), pp. 244–249.
DACDAC-1994-CongLB #multi #network
Acyclic Multi-Way Partitioning of Boolean Networks (JC, ZL, RB), pp. 670–675.
DACDAC-1994-KuznarBZ #multi
Multi-way Netlist Partitioning into Heterogeneous FPGAs and Minimization of Total Device Cost and Interconnect (RK, FB, BZ), pp. 238–243.
DACDAC-1994-LiuSC #data flow #latency
Data Flow Partitioning for Clock Period and Latency Minimization (LTL, MS, CKC), pp. 658–663.
DACDAC-1994-PuriG #approach #composition #synthesis
A Modular Partitioning Approach for Asynchronous Circuit Synthesis (RP, JG), pp. 63–69.
DACDAC-1994-RiessDJ #scalability #using
Partitioning Very Large Circuits Using Analytical Placement Techniques (BMR, KD, FMJ), pp. 646–651.
DATEEDAC-1994-BrasenS
FPGA Partitioning for Critical Paths (DRB, GS), pp. 99–103.
DATEEDAC-1994-IsmailOJ #interactive
Interactive System-level Partitioning with PARTIF (TBI, KO, AAJ), pp. 464–468.
DATEEDAC-1994-RamachandranGC #algorithm #array
An Algorithm for Array Variable Clustering (LR, DG, VC), pp. 262–266.
DATEEDAC-1994-WuLCL #distributed #fault #simulation
Distributed Fault Simulation for Sequential Circuits by Pattern Partitioning (WCW, CLL, JEC, WYL), p. 661.
HPDCHPDC-1994-CataniaPRV #array #evaluation #performance
Performance Evaluation of a Partial Dynamic Declustering Disk Array System (VC, AP, SR, LV), pp. 244–252.
HPDCHPDC-1994-SaletoreJP #parallel
Parallel Computations on the CHARM Heterogeneous Workstation Cluster (VAS, JJ, MP), pp. 203–210.
HPDCHPDC-1994-WeissmanG #network #parallel
Network Partitioning of Data Parallel Computations (JBW, ASG), pp. 149–156.
PDPPDP-1994-JoosenPV #performance
The Efficient Management Of Task Clusters In A Dynamic Load Balancer (WJ, JP, PV), pp. 285–290.
PDPPDP-1994-MegsonC #array
Partitioning And Mapping For Lower Dimensional Given Arrays (GMM, XC), pp. 149–155.
ICDARICDAR-1993-HochK #on the #recognition #scalability
On virtual partitioning of large dictionaries for contextual post-processing to improve character recognition (RH, TK), pp. 226–231.
VLDBVLDB-1993-ChenR #visualisation
Declustering Objects for Visualization (LTC, DR), pp. 85–96.
ICSMECSM-1993-IbbaNBN #component #reuse
Structure-Based Clustering of Components for Software Reuse (RI, DN, PB, RN), pp. 210–215.
FPCAFPCA-1993-RohNB #data flow #evaluation #generative
Generation and Quantitative Evaluation of Dataflow Clusters (LR, WAN, APWB), pp. 159–168.
ICMLICML-1993-CarpinetoR #approach #concept #named
GALOIS: An Order-Theoretic Approach to Conceptual Clustering (CC, GR), pp. 33–40.
ICMLICML-1993-Connolly #concept #network
Constructing Hidden Variables in Bayesian Networks via Conceptual Clustering (DC), pp. 65–72.
ICMLICML-1993-Ellman #abstraction #approximate #constraints #synthesis
Synthesis of Abstraction Hierarchies for Constraint Satisfaction by Clustering Approximately Equivalent Objects (TE), pp. 104–111.
SEKESEKE-1993-MineauGM #concept #induction #modelling
Induction of Generic Data Models by Conceptual Clustering (GWM, RG, RM), pp. 554–564.
SIGIRSIGIR-1993-Botafogo #analysis #hypermedia
Cluster Analysis for Hypertext Systems (RAB), pp. 116–125.
FSEFSE-1993-PodgurskiY #analysis #testing
Partition testing, stratified sampling, and cluster analysis (AP, CY), pp. 169–181.
SACSAC-1993-BhatiaD #information retrieval
Cluster Characterization in Information Retrieval (SKB, JSD), pp. 721–728.
SACSAC-1993-HenshawB
Partitioning in X.500 (JH, MAB), pp. 294–301.
DACDAC-1993-AlpertK #geometry #multi #performance
Geometric Embeddings for Faster and Better Multi-Way Netlist Partitioning (CJA, ABK), pp. 743–748.
DACDAC-1993-ChanSZ93a
Spectral K-Way Ratio-Cut Partitioning and Clustering (PKC, MDFS, JYZ), pp. 749–754.
DACDAC-1993-CongS #algorithm #bottom-up #design #parallel
A Parallel Bottom-Up Clustering Algorithm with Applications to Circuit Partitioning in VLSI Design (JC, MS), pp. 755–760.
DACDAC-1993-Edahiro #algorithm #optimisation
A Clustering-Based Optimization Algorithm in Zero-Skew Routings (ME), pp. 612–616.
DACDAC-1993-RajaramanW
Optimal Clustering for Delay Minimization (RR, DFW), pp. 309–314.
DACDAC-1993-ShihK #polynomial #programming
Quadratic Boolean Programming for Performance-Driven System Partitioning (MS, ESK), pp. 761–765.
DACDAC-1993-SrinivasanGB #performance #pseudo #testing
An Efficient Partitioning Strategy for Pseudo-Exhaustive Testing (RS, SKG, MAB), pp. 242–248.
DACDAC-1993-WooK #implementation #multi #performance
An Efficient Method of Partitioning Circuits for Multiple-FPGA Implementation. (NSW, JK), pp. 202–207.
HPDCHPDC-1993-BanerjiKTGC #distributed #memory management
High-Performance Distributed Shared Memory Substrate for Workstation Clusters (AB, DCK, JMT, PMG, DLC), pp. 344–351.
SIGMODSIGMOD-1992-GhandeharizadehDQ #analysis #multi #performance
A Performance Analysis of Alternative Multi-Attribute Declustering Strategies (SG, DJD, WQ), pp. 29–38.
SIGMODSIGMOD-1992-TsangarisN #on the #performance
On the Performance of Object Clustering Techniques (MMT, JFN), pp. 144–153.
VLDBVLDB-1992-LiS #concept #database
A Conceptual Model for Dynamic Clustering in Object Databases (QL, JLS), pp. 457–468.
VLDBVLDB-1992-LiSR #named #parallel
CMD: A Multidimensional Declustering Method for Parallel Data Systems (JL, JS, DR), pp. 3–14.
LISPLFP-1992-TraubCS #analysis #source code #strict #thread
Global Analysis for Partitioning Non-Strict Programs into Sequential Threads (KRT, DEC, KES), pp. 324–334.
ICMLML-1992-FisherXZ
Ordering Effects in Clustering (DHF, LX, NZ), pp. 162–168.
ICMLML-1992-WeinbergBK #concept
Conceptual Clustering with Systematic Missing Values (JBW, GB, GRK), pp. 464–469.
SIGIRSIGIR-1992-CuttingPKT #approach #documentation #named #scalability
Scatter/Gather: A Cluster-based Approach to Browsing Large Document Collections (DRC, JOP, DRK, JWT), pp. 318–329.
SIGIRSIGIR-1992-Lewis #categorisation #evaluation
An Evaluation of Phrasal and Clustered Representations on a Text Categorization Task (DDL), pp. 37–50.
TOOLSTOOLS-PACIFIC-1992-Pree #concept #development #object-oriented
Object-Oriented Software Development Based On Clusters: Concepts, Consequences and Examples (WP), pp. 111–117.
ASEKBSE-1992-Novak #reuse
Software Reuse through View Type Clusters (GSN), p. 15.
ASPLOSASPLOS-1992-HollandG #array
Parity Declustering for Continuous Operation in Redundant Disk Arrays (MH, GAG), pp. 23–35.
DACDAC-1992-RaoK
Partitioning by Regularity Extraction (DSR, FJK), pp. 235–238.
DACDAC-1992-ShihKT #multi
Performance-Driven System Partitioning on Multi-Chip Modules (MS, ESK, RST), pp. 53–56.
DACDAC-1992-VahidG #design #specification
Specification Partitioning for System Design (FV, DG), pp. 219–224.
HPDCHPDC-1992-BetelloRSR
Lattice Boltzmann Method on a Cluster of IBM RISC System/6000 Workstations (GB, GR, SS, FR), pp. 242–247.
HPDCHPDC-1992-CheungR #performance
High Performance Computing on a Cluster of Workstations (ALC, APR), pp. 152–160.
PODSPODS-1991-Roy #complexity #independence #query #relational #semantics
Semantic Complexity of Classes of Relational Queries and Query Independent Data Partitioning (SR), pp. 259–267.
SIGMODSIGMOD-1991-ChengH #database #effectiveness #object-oriented
Effective Clustering of Complex Objects in Object-Oriented Databases (JbRC, ARH), pp. 22–31.
SIGMODSIGMOD-1991-TsangarisN #approach #probability
A Stochastic Approach for Clustering in Object Bases (MMT, JFN), pp. 12–21.
KDDKDD-1991-HongM #incremental #parallel
Incremental Discovery of Rules and Structure by Hierarchical and Parallel Clustering (JH, CM), pp. 177–194.
KRKR-1991-DavisC
Clustering Temporal Intervals To Generate Reference Hierarchies (WSD, JRC), pp. 111–117.
ICMLML-1991-BhuyanR #adaptation #information retrieval #probability
A Probabilistic Retrieval Scheme for Cluster-based Adaptive Information Retrieval (JNB, VVR), pp. 240–244.
ICMLML-1991-BiswasWYK #concept #data analysis
Conceptual Clustering and Exploratory Data Analysis (GB, JBW, QY, GRK), pp. 591–595.
DACDAC-1991-Chen #concurrent #graph #scheduling
Graph Partitioning for Concurrent Test Scheduling in VLSI Circuit (CIHC), pp. 287–290.
DACDAC-1991-YehCL #algorithm #multi
A General Purpose Multiple Way Partitioning Algorithm (CWY, CKC, TTYL), pp. 421–426.
PPoPPPPoPP-1991-BalasundaramFKK #performance
A Static Performance Estimator to Guide Data Partitioning Decisions (VB, GF, KK, UK), pp. 213–223.
ICLPISLP-1991-HidakaKTT #commit #execution
A Static Load Partitioning Method based on Execution Profile for Committed Choice Languages (YH, HK, JT, HT), pp. 470–484.
PODSPODS-1990-SoparkarS
Data-value Partitioning and Virtual Messages (NS, AS), pp. 357–367.
SIGMODSIGMOD-1990-Jagadish #linear #multi
Linear Clustering of Objects with Multiple Atributes (HVJ), pp. 332–342.
VLDBVLDB-1990-CheineyM #parallel #transitive
A Parallel Strategy for Transitive Closure usind Double Hash-Based Clustering (JPC, CdM), pp. 347–358.
VLDBVLDB-1990-GhandeharizadehD #database #multi
Hybrid-Range Partitioning Strategy: A New Declustering Strategy for Multiprocessor Database Machines (SG, DJD), pp. 481–492.
VLDBVLDB-1990-HaradaNKT #multi #query
Query Processing for Multi-Attribute Clustered Records (LH, MN, MK, MT), pp. 59–70.
ICALPICALP-1990-SavageW #heuristic #on the
On Parallelizing Graph-Partitioning Heuristics (JES, MGW), pp. 476–489.
ICMLML-1990-Segen #graph #learning
Graph Clustering and Model Learning by Data Compression (JS), pp. 93–101.
ICMLML-1990-ThintW #feature model #modelling
Feature Extraction and Clustering of Tactile Impressions with Connectionist Models (MT, PPW), pp. 253–258.
SIGIRSIGIR-1990-LewisC
Term Clustering of Syntactic Phrases (DDL, WBC), pp. 385–404.
DACDAC-1990-ChatterjeeH #approach
A New Simultaneous Circuit Partitioning and Chip Placement Approach Based on Simulated Annealing (AC, RIH), pp. 36–39.
DACDAC-1990-DeyBK
Corolla Based Circuit Partitioning and Resynthesis (SD, FB, GK), pp. 607–612.
HTHT-1989-CrouchCA #hypermedia #information retrieval #using
The Use of Cluster Hierarchies in Hypertext Information Retrieval (DBC, CJC, GA), pp. 225–237.
PODSPODS-1989-FaloutsosM #fault #using
Declustering Using Error Correcting Codes (CF, DNM), pp. 253–258.
PODSPODS-1989-Rotem #multi
Clustered Multiattribute Hash Files (DR), pp. 225–234.
SIGMODSIGMOD-1989-ChangK #effectiveness #inheritance #object-oriented #semantics
Exploiting Inheritance and Structure Semantics for Effective Clustering and Buffering in an Object-Oriented DBMS (EEC, RHK), pp. 348–357.
SIGMODSIGMOD-1989-NavatheR #algorithm #database #design #visual notation
Vertical Partitioning for Database Design: A Graphical Algorithm (SBN, MR), pp. 440–450.
FPCAFPCA-1989-Traub #approach #compilation #functional #strict
Compilation as Partitioning: A New Approach to Compiling Non-Strict Functional Languages (KRT), pp. 75–88.
ICMLML-1989-MorkK #approach #concept
A Bootstrapping Approach to Concept Clustering (KM, JUK), pp. 503–504.
ICMLML-1989-Segen #incremental #representation
Incremental Clustering by Minimizing Representation Length (JS), pp. 400–403.
ICMLML-1989-YangF #concept
Conceptual Clustering of Mean-Ends Plans (HY, DHF), pp. 232–234.
ICMLML-1989-YooF #concept
Conceptual Clustering of Explanations (JPY, DHF), pp. 8–10.
SIGIRSIGIR-1989-ChangLL #data access #multi
Multikey Access Methods Based on Term Discrimination and Signature Clustering (JWC, JHL, YJL), pp. 176–185.
DACDAC-1989-Blanks #probability
Partitioning by Probability Condensation (JB), pp. 758–761.
DACDAC-1989-CahnK #network
Computing Signal Delay in General RC Networks by Tree/Link Partitioning (PKC, KK), pp. 485–490.
DACDAC-1989-GabbeS
A Note on Clustering Modules for Floorplanning (JDG, PAS), pp. 594–597.
DACDAC-1989-JoneP #approach #coordination #generative #pseudo #testing
A Coordinated Approach to Partitioning and Test Pattern Generation for Pseudoexhaustive Testing (WBJ, CAP), pp. 525–534.
DACDAC-1989-LagneseT #architecture #design
Architectural Partitioning for System Level Design (EDL, DET), pp. 62–67.
DACDAC-1989-Paulin #finite #state machine
Horizontal Partitioning of PLA-based Finite State Machines (PGP), pp. 333–338.
DACDAC-1989-SaabR #approach
An Evolution-Based Approach to Partitioning ASIC Systems (YS, VBR), pp. 767–770.
DACDAC-1989-SastryP #problem #statistics
An Investigation into Statistical Properties of Partitioning and Floorplanning Problems (SS, JIP), pp. 382–387.
DACDAC-1989-Vijayan
Min-cost Partitioning on a Tree Structure and Applications (GV), pp. 771–774.
DACDAC-1989-YihM #design #network
A Neural Network Design for Circuit Partitioning (JSY, PM), pp. 406–411.
CSLCSL-1989-SpeckenmeyerK #complexity #on the #set
On the Average Time Complexity of Set Partitioning (ES, RK), pp. 369–381.
SIGIRSIGIR-1988-Crouch #approach
A Cluster-Based Approach to Thesaurus Construction (CJC), pp. 309–320.
POPLPOPL-1988-IrigoinT
Supernode Partitioning (FI, RT), pp. 319–329.
ICSEICSE-1988-HuangZC #algorithm #distributed #heuristic #realtime
Heuristic Software Partitioning Algorithms for Distributed Real-Time Applications (XH, HZ, XC), pp. 116–121.
DACDAC-1988-MallelaG #standard
Clustering Based Simulated Annealing for Standard Cell Placement (SM, LKG), pp. 312–317.
PPoPPPPEALS-1988-Katseff #assembly #parallel #using
Using Data Partitioning to Implement a Parallel Assembler (HPK), pp. 66–76.
STOCSTOC-1988-FederG #algorithm #approximate
Optimal Algorithms for Approximate Clustering (TF, DHG), pp. 434–444.
SIGIRSIGIR-1987-CanO #information retrieval #maintenance
A Dynamic Cluster Maintenance System for Information Retrieval (FC, EAO), pp. 123–131.
SIGIRSIGIR-1987-KantorBDS #concept #retrieval
Clustering of Concepts for Optimal Retrieval (PBK, AB, MD, TS), p. 316.
SIGIRSIGIR-1987-OommenM #automaton #learning #performance #probability #using
Fast Object Partitioning Using Stochastic Learning Automata (BJO, DCYM), pp. 111–122.
SIGIRSIGIR-1987-RaghavanD
Optimal Determination of User-Oriented Clusters (VVR, JSD), pp. 140–146.
SIGIRSIGIR-1987-RasmussenW #array #distributed #documentation #using
Non-Hierarchic Document Clustering Using the ICL Distributed Array Processor (EMR, PW), pp. 132–139.
DACDAC-1987-Chi #automation #standard
An Automatic Rectilinear Partitioning Procedure for Standard Cells (MCC), pp. 50–55.
ICLPICLP-1987-SatoSMRG87 #execution #memory management
KL1 Execution Model for PIM Cluster with Shared Memory (MS, HS, AM, KR, AG), pp. 338–355.
VLDBVLDB-1986-CheineyFMT #multi #reliability #using
A Reliable Backend Using Multiattribute Clustering and Select-Join Operator (JPC, PF, RM, JMT), pp. 220–227.
VLDBVLDB-1986-FangLC #idea
The Idea of De-Clustering and its Applications (MTF, RCTL, CCC), pp. 181–188.
LISPLFP-1986-SarkarH #parallel #source code
Partitioning Parallel Programs for Macro-Dataflow (VS, JLH), pp. 202–211.
CSCWCSCW-1986-DelisleS #concept #hypermedia #named
Contexts: a partitioning concept for hypertext (NMD, MDS), pp. 147–152.
SIGIRSIGIR-1986-DeogunR #documentation #framework #information retrieval #learning
User-Oriented Document Clustering: A Framework for Learning in Information Retrieval (JSD, VVR), pp. 157–163.
SIGIRSIGIR-1986-El-HamdouchiW #documentation #using
Hierarchic Document Clustering Using Ward’s Method (AEH, PW), pp. 149–156.
SIGIRSIGIR-1986-Voorhees #performance
The Efficiency of Inverted Index and Cluster Searches (EMV), pp. 164–174.
DACDAC-1986-Larsen #analysis #data type #synthesis
Rules-based object clustering: a data structure for symbolic VLSI synthesis and analysis (RPL), pp. 768–777.
SIGMODSIGMOD-1985-FushimiKNTM #adaptation #algorithm #evaluation #multi #performance
Algorithm and Performance Evaluation of Adaptive Multidimensional Clustering Technique (SF, MK, MN, HT, TMO), pp. 308–318.
SIGMODSIGMOD-1985-ShinI #approach #database #knowledge-based #relational #using
Partitioning a Relational Database Horizontally Using a Knowledge-Based Approach (DGS, KBI), pp. 95–105.
VLDBVLDB-1985-OzkarahanO #database #order
Dynamic and Order Preserving Data Partitioning for Database Machines (EAO, AMO), pp. 358–368.
ICALPICALP-1985-Cole #set
Partitioning Point Sets in 4 Dimensions (RC0), pp. 111–119.
SIGIRSIGIR-1985-CanO #concept
Concepts of the Cover-Coefficient-Based Clustering Methodology (FC, EAO), pp. 204–211.
SIGIRSIGIR-1985-Radecki #ranking #retrieval
Output Ranking Methodology for Document-Clustering-Based Boolean Retrieval Systems (TR), pp. 70–76.
SIGIRSIGIR-1985-Voorhees #revisited
The Cluster Hypothesis Revisited (EMV), pp. 188–196.
SIGIRSIGIR-1985-Yu #adaptation #documentation
Adaptive Document Clustering (CTY), pp. 197–203.
DACDAC-1985-DelormeRdGLMC #functional #generative #sequence #testing
A functional partitioning expert system for test sequences generation (CD, PR, LDd, NG, RL, BM, RC), pp. 820–824.
SOSPSOSP-1985-KronenbergLS #distributed #named
VAXclusters: A Closely-Coupled Distributed System (NPK, HML, WDS), p. 1.
SIGIRSIGIR-1984-OmiecinskiS #approach
A Global Approach to Record Clustering and File Reorganization (EO, PS), pp. 201–219.
DACDAC-1984-DasguptaGRWW #design #testing
Chip partitioning aid: A design technique for partitionability and testability in VLSI (SD, MCG, RAR, RGW, TWW), pp. 203–208.
PODSPODS-1983-ChinR #network #termination
Optimal Termination Prococols for Network Partitioning (FYLC, KVSR), pp. 25–35.
VLDBVLDB-1983-SaccaW #database
Database Partitioning in a Cluster of Processors (DS, GW), pp. 242–247.
ICALPICALP-1983-YannakakisKCP #graph
Cutting and Partitioning a Graph aifter a Fixed Pattern (MY, PCK, SSC, CHP), pp. 712–722.
SIGIRSIGIR-1983-CanO
A Clustering Scheme (FC, EAO), pp. 115–121.
SIGIRSIGIR-1983-FraenkelM #scalability
Combinational Compression and Partitioning of Large Dictionaries: Theory and Experiments (ASF, MM), pp. 205–219.
DACDAC-1983-McFarland #behaviour #hardware
Computer-aided partitioning of behavioral hardware descriptions (MCM), pp. 472–478.
DACDAC-1983-OdawaraIK
Partitioning and placement technique for bus-structured PWB (GO, KI, TK), pp. 449–456.
PODSPODS-1982-RotemTK #design #multi
Foundations for Multifile Design by Application Partitioning (DR, FWT, DGK), pp. 262–267.
SIGMODSIGMOD-1982-CeriNP #database #design
Horizontal Data Partitioning in Database Design (SC, MN, GP), pp. 128–136.
SIGIRSIGIR-1982-RaghavanI #case study #comparative
Techniques for Measuring the Stability of Clustering: A Comparative Study (VVR, MYLI), pp. 209–237.
DACDAC-1982-PayneC #automation
Automated partitioning of hierarchically specified digital systems (TSP, WMvC), pp. 182–192.
SIGIRSIGIR-1981-KambayashiHY
Dynamic Clustering Procedures for Bibliographic Data (YK, TH, SY), pp. 90–99.
SIGIRSIGIR-1981-StorerE #validation
Experiments on the Application of Clustering Techniques to Data Validation (WFS, CME), pp. 88–89.
ICSEICSE-1981-ChenZ #analysis #re-engineering #using
Use of Cluster Analysis to Evaluate Software Engineering Methodologies (EC, MVZ), pp. 117–124.
DACDAC-1981-PatelC #problem
Partitioning for VLSI placement problems (AMP, LCC), pp. 411–418.
SIGMODSIGMOD-1980-ChangF #database #design #physics
A Dynamic Clustering Technique for Physical Database Design (JMC, KsF), pp. 188–199.
ICALPICALP-1980-BeckerPS #algorithm
A Shifting Algorithm for Min-Max Tree Partitioning (RIB, YP, SRS), pp. 64–75.
SIGIRSIGIR-1980-Radecki #information retrieval
A Model of a Document-Clustering-Based Information Retrieval System with a Boolean Search Request Formulation (TR), pp. 334–344.
SIGMODSIGMOD-1979-HammerN #approach #heuristic
A Heuristic Approach to Attribute Partitioning (MH, BN), pp. 93–101.
SIGIRSIGIR-1979-RaghavanB #effectiveness #process
A Clustering Strategy Based on a Formalism of the Reproductive Process in Natural Systems (VVR, KB), pp. 10–22.
DACDAC-1979-Corrigan
A placement capability based on partitioning (LIC), pp. 406–413.
DACDAC-1979-StablerKK #algorithm
Placement algorithm by partitioning for optimum rectangular placement (EPS, VMK, VAK), pp. 24–25.
SIGIRSIGIR-1978-Croft #retrieval
A File Organization for Cluster-Based Retrieval (WBC), pp. 65–82.
ICSEICSE-1976-LeeSM
Application of Clustering to Estimate Missing Data and Improve Data Integrity (RCTL, JRS, CTM), pp. 539–544.
DACDAC-1976-GoundanH #fault #logic
Partitioning logic circuits to maximize fault resolution (AG, JPH), pp. 271–277.
VLDBVLDB-1975-HofferS #analysis #database #design #physics #using
The Use of Cluster Analysis in Physical Data Base Design (JAH, DGS), pp. 69–86.
DACDAC-1975-Groger #approach #logic
A new approach to structural partitioning of computer logic (HJG), pp. 378–383.
DACDAC-1975-IshigaKS #logic
A logic partitioning procedure by interchanging clusters (TI, TK, SS), pp. 369–377.
DACDAC-1974-HananMS #approach #interactive #logic #problem
An interactive man-machine approach to the computer logic partitioning problem (MH, AM, PKWS), pp. 70–81.
DACDAC-1974-Wang #algorithm
A partitioning technique for LSI chips including a bunching algorithm (PTW), p. 91.
SOSPSOSP-1973-DenningS
Dynamic Storage Partitioning (PJD, JRS), pp. 73–79.
DACDAC-1972-SchulerU #linear
Clustering and linear placement (DMS, EGU), pp. 50–56.
DACDAC-1972-SchweikertK
A proper model for the partitioning of electrical circuits (DGS, BWK), pp. 57–62.
SOSPSOSP-J-1973-CoffmanR72 #case study #locality #using
A Study of Storage Partitioning Using a Mathematical Model of Locality (EGCJ, TAR), pp. 185–190.
DACDAC-1971-LarsenM #equation #layout #logic
Partitioning and ordering of logic equations for optimum MOS LSI device layout (RPL, LM), pp. 131–142.
SOSPSOSP-1971-CoffmanR #case study #using
A Study of Storage Partitioning Using a Mathematical Model (EGCJ, TAR), pp. 122–129.
DACDAC-1970-Sr #analysis #graph #logic #reduction
Partitioning of logic graphs: A theoretical analysis of pin reduction (RBHS), pp. 54–63.
DACDAC-1968-CharneyP #component #performance
Efficient partitioning of components (HRC, DLP).
DACSHARE-1966-Stone #logic
Logic partitioning (AJS).

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