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Stem filter$ (all stems)

842 papers:

CASECASE-2015-ChenW #design #probability #robust
H∞ robust filter design for a class of nonlinear stochastic poisson jump systems (BSC, CFW), pp. 1557–1561.
CASECASE-2015-ChouTHC #adaptation #algorithm #design #parametricity #process
Adaptive neuro-fuzzy inference system with evolutionary algorithm for designing process parameters of color filter (PYC, JTT, WHH, JHC), pp. 1555–1556.
CASECASE-2015-QuangTH #adaptation #using
FPGA-based sensorless PMSM speed control using adaptive extended Kalman filter (NKQ, DDT, QPH), pp. 1650–1655.
CASECASE-2015-WahrburgMCMD #estimation #using
Cartesian contact force estimation for robotic manipulators using Kalman filters and the generalized momentum (AW, EM, GC, BM, HD), pp. 1230–1235.
CASECASE-2015-WuDZW #detection
Kalman filter based DNS cache poisoning attack detection (HW, XD, LZ, LW), pp. 1594–1600.
DATEDATE-2015-DinizSDBH #architecture #hardware #performance #standard #video
A deblocking filter hardware architecture for the high efficiency video coding standard (CMD, MS, FVD, SB, JH), pp. 1509–1514.
DATEDATE-2015-KalaliH #2d #adaptation #energy #hardware
A low energy 2D adaptive median filter hardware (EK, IH), pp. 725–729.
HTHT-2015-BledaiteR #collaboration #elicitation
Pairwise Preferences Elicitation and Exploitation for Conversational Collaborative Filtering (LB, FR), pp. 231–236.
SIGMODSIGMOD-2015-YangWWW #approximate #performance #query #string
Local Filtering: Improving the Performance of Approximate Queries on String Collections (XY, YW, BW, WW), pp. 377–392.
VLDBVLDB-2015-VengerovMZC #estimation
Join Size Estimation Subject to Filter Conditions (DV, ACM, MZ, SC), pp. 1530–1541.
MSRMSR-2015-ChowdhuryH #mining #stack overflow #topic
Mining StackOverflow to Filter Out Off-Topic IRC Discussion (SAC, AH), pp. 422–425.
CHICHI-2015-LoeppH0 #algorithm #information management #interactive #recommendation
Blended Recommending: Integrating Interactive Information Filtering and Algorithmic Recommender Techniques (BL, KH, JZ), pp. 975–984.
HCIHIMI-IKD-2015-AraiOM #using #web
A Filtering System of Web History Using the Browsing Characteristic (KA, MO, HM), pp. 273–279.
ICEISICEIS-v2-2015-AngioniCT #collaboration #mining
Evaluating Potential Improvements of Collaborative Filtering with Opinion Mining (MA, MLC, FT), pp. 656–661.
ECIRECIR-2015-AmigoGM #approach #clustering #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-GaillardR #adaptation #collaboration #matrix
Time-Sensitive Collaborative Filtering through Adaptive Matrix Completion (JG, JMR), pp. 327–332.
ECIRECIR-2015-GebremeskelV #documentation #ranking
Entity-Centric Stream Filtering and Ranking: Filtering and Unfilterable Documents (GGG, APdV), pp. 303–314.
ECIRECIR-2015-LiangCC #approach #detection #social #social media
A Noise-Filtering Approach for Spatio-temporal Event Detection in Social Media (YL, JC, CC), pp. 233–244.
ECIRECIR-2015-Martinez-Alvarez #information management #named #realtime
Signal: Advanced Real-Time Information Filtering (MMA, UK, WH, MP), pp. 793–796.
ICMLICML-2015-LiuHW #collaboration
Non-Linear Cross-Domain Collaborative Filtering via Hyper-Structure Transfer (YFL, CYH, SHW), pp. 1190–1198.
ICMLICML-2015-XuRYLJ
Deep Edge-Aware Filters (LX, JR, QY, RL, JJ), pp. 1669–1678.
KDDKDD-2015-HayashiMTK #detection #realtime #topic #twitter
Real-Time Top-R Topic Detection on Twitter with Topic Hijack Filtering (KH, TM, MT, KiK), pp. 417–426.
MLDMMLDM-2015-Prado #classification #named
MOGACAR: A Method for Filtering Interesting Classification Association Rules (DBP), pp. 172–183.
RecSysRecSys-2015-AlmahairiKCC #collaboration #distributed #learning
Learning Distributed Representations from Reviews for Collaborative Filtering (AA, KK, KC, ACC), pp. 147–154.
RecSysRecSys-2015-LarrainTPGN #case study #collaboration #social
Good Times Bad Times: A Study on Recency Effects in Collaborative Filtering for Social Tagging (SL, CT, DP, EGG, KN), pp. 269–272.
RecSysRecSys-2015-SahebiB #collaboration
It Takes Two to Tango: An Exploration of Domain Pairs for Cross-Domain Collaborative Filtering (SS, PB), pp. 131–138.
SIGIRSIGIR-2015-HuangWLMCV #collaboration
Listwise Collaborative Filtering (SH, SW, TYL, JM, ZC, JV), pp. 343–352.
SIGIRSIGIR-2015-LiuW #collaboration #learning
Learning Context-aware Latent Representations for Context-aware Collaborative Filtering (XL, WW), pp. 887–890.
SIGIRSIGIR-2015-SpinaPR #learning #microblog
Active Learning for Entity Filtering in Microblog Streams (DS, MHP, MdR), pp. 975–978.
SIGIRSIGIR-2015-SpirinKKSI #metric #optimisation #quality #tuple
Relevance-aware Filtering of Tuples Sorted by an Attribute Value via Direct Optimization of Search Quality Metrics (NVS, MK, JK, YVS, PAI), pp. 979–982.
SACSAC-2015-AbbesPHB #documentation
Leveraging temporal expressions to filter vital documents related to an entity (RA, KPS, NH, MB), pp. 1093–1098.
SACSAC-2015-BerardiCEM #microblog #on the #realtime
On the impact of entity linking in microblog real-time filtering (GB, DC, AE, DM), pp. 1066–1071.
SACSAC-2015-DAddioM #approach #collaboration #sentiment
A sentiment-based item description approach for kNN collaborative filtering (RMD, MGM), pp. 1060–1065.
SACSAC-2015-Messaoud #collaboration #named
Dynamic: a collaborative filtering strategy for assigning examination’s rooms to supervisors (MBM), pp. 264–266.
SACSAC-2015-VinagreJG #collaboration #feedback
Collaborative filtering with recency-based negative feedback (JV, AMJ, JG), pp. 963–965.
ICSEICSE-v1-2015-FilieriGL #adaptation #learning #lightweight #modelling #performance #probability
Lightweight Adaptive Filtering for Efficient Learning and Updating of Probabilistic Models (AF, LG, AL), pp. 200–211.
HPCAHPCA-2015-LoCIS #monitoring #runtime #using
Run-time monitoring with adjustable overhead using dataflow-guided filtering (DL, TC, MI, GES), pp. 662–674.
ICSTSAT-2015-DouglassKR #quantum #satisfiability
Constructing SAT Filters with a Quantum Annealer (AD, ADK, JR), pp. 104–120.
CASECASE-2014-ChenLY #distributed #modelling #network
Sparse particle filtering for modeling space-time dynamics in distributed sensor networks (YC, GL, HY), pp. 626–631.
CASECASE-2014-LeePP #locality #using
Coarse-to-fine robot localization method using radio fingerprint and Particle Filter (YCL, BP, SP), pp. 290–296.
CASECASE-2014-SachsMTS #energy #hybrid
Filter-based PV power smoothing control for island hybrid energy systems with high PV penetration (JS, BM, KT, OS), pp. 872–877.
DATEDATE-2014-SarafBLR #probability #using
IIR filters using stochastic arithmetic (NS, KB, DJL, MDR), pp. 1–6.
DATEDATE-2014-TtofisT #hardware #image #realtime
High-quality real-time hardware stereo matching based on guided image filtering (CT, TT), pp. 1–6.
DRRDRR-2014-NagyL #distance #similarity
Form similarity via Levenshtein distance between ortho-filtered logarithmic ruling-gap ratios (GN, DPL), pp. 902106–8.
HTHT-2014-NagulendraV #case study #comprehension #interactive #visualisation
Understanding and controlling the filter bubble through interactive visualization: a user study (SN, JV), pp. 107–115.
HTHT-2014-NoorianMV #adaptation #feedback #self #using
Self-adaptive filtering using pid feedback controller in electronic commerce (ZN, MM, JV), pp. 267–272.
SIGMODSIGMOD-2014-DengLF #algorithm #similarity #string
A pivotal prefix based filtering algorithm for string similarity search (DD, GL, JF), pp. 673–684.
VLDBVLDB-2014-ParameswaranBG0PW #algorithm #rating
Optimal Crowd-Powered Rating and Filtering Algorithms (AGP, SB, HGM, AG, NP, JW), pp. 685–696.
CHICHI-2014-HashishBY #approach #collaboration
Involving children in content control: a collaborative and education-oriented content filtering approach (YH, AB, JEY), pp. 1797–1806.
CHICHI-2014-LoeppHZ #collaboration #elicitation #recommendation
Choice-based preference elicitation for collaborative filtering recommender systems (BL, TH, JZ), pp. 3085–3094.
CHICHI-2014-ShrotRGK #algorithm #collaboration #named
CRISP: an interruption management algorithm based on collaborative filtering (TS, AR, JG, SK), pp. 3035–3044.
ICEISICEIS-v2-2014-BorattoC #clustering #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-MaLG #collaboration #community #recommendation #trust
Improving Recommendation Accuracy by Combining Trust Communities and Collaborative Filtering (XM, HL, ZG), pp. 1951–1954.
CIKMCIKM-2014-UysalBSS #approximate #database #distance #multi #performance #scalability #using
Efficient Filter Approximation Using the Earth Mover’s Distance in Very Large Multimedia Databases with Feature Signatures (MSU, CB, JS, TS), pp. 979–988.
CIKMCIKM-2014-VouzoukidouAC #named #query #ranking #realtime
MeowsReader: Real-Time Ranking and Filtering of News with Generalized Continuous Top-k Queries (NV, BA, VC), pp. 2066–2068.
CIKMCIKM-2014-XuLL #bibliography #clustering #collaboration #community
Collaborative Filtering Incorporating Review Text and Co-clusters of Hidden User Communities and Item Groups (YX, WL, TL), pp. 251–260.
CIKMCIKM-2014-YaoTYXZSL #collaboration
Dual-Regularized One-Class Collaborative Filtering (YY, HT, GY, FX, XZ, BKS, JL), pp. 759–768.
CIKMCIKM-2014-ZhangLCZW #collaboration
Exploit Latent Dirichlet Allocation for One-Class Collaborative Filtering (HZ, ZL, YC, XZ, SW), pp. 1991–1994.
CIKMCIKM-2014-ZhangYCQGZSH #ranking #social
Social Book Search Reranking with Generalized Content-Based Filtering (BWZ, XCY, XPC, JQ, BG, FZ, LS, HWH), pp. 361–370.
CIKMCIKM-2014-ZhaoMK #collaboration #personalisation #ranking #social
Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering (TZ, JJM, IK), pp. 261–270.
ECIRECIR-2014-LoniSLH #collaboration
Cross-Domain Collaborative Filtering with Factorization Machines (BL, YS, ML, AH), pp. 656–661.
ICMLICML-c1-2014-LiL #classification #multi
Condensed Filter Tree for Cost-Sensitive Multi-Label Classification (CLL, HTL), pp. 423–431.
ICMLICML-c1-2014-SteinhardtL
Filtering with Abstract Particles (JS, PL), pp. 727–735.
ICMLICML-c2-2014-VinnikovS #component #independence
K-means recovers ICA filters when independent components are sparse (AV, SSS), pp. 712–720.
ICPRICPR-2014-AlmogahedK #game studies #named #using
NEATER: Filtering of Over-sampled Data Using Non-cooperative Game Theory (BAA, IAK), pp. 1371–1376.
ICPRICPR-2014-FranchiA #adaptation
Spatially-Variant Area Openings for Reference-Driven Adaptive Contour Preserving Filtering (GF, JA), pp. 1043–1048.
ICPRICPR-2014-Gomez-BarreroRGFB #adaptation
Protected Facial Biometric Templates Based on Local Gabor Patterns and Adaptive Bloom Filters (MGB, CR, JG, JF, CB), pp. 4483–4488.
ICPRICPR-2014-HoreY #image
A New Filter for Reducing HALO Artifacts in Tone Mapped Images (AH, OYP), pp. 889–894.
ICPRICPR-2014-HuangCZ #performance
An Improved Filtering for Fast Stereo Matching (XH, GC, YZ), pp. 2448–2452.
ICPRICPR-2014-KurtzNP #component #multi
Multivalued Component-Tree Filtering (CK, BN, NP), pp. 1008–1013.
ICPRICPR-2014-LemesSBS #authentication #detection
Dynamic Pore Filtering for Keypoint Detection Applied to Newborn Authentication (RdPL, MPS, ORPB, LS), pp. 1698–1703.
ICPRICPR-2014-LiZ #hybrid
A Nonlocal Filter-Based Hybrid Strategy for Depth Map Enhancement (LL, CZ), pp. 4394–4399.
ICPRICPR-2014-MoeiniMF14b #2d #3d #image #invariant #re-engineering #recognition #using
Expression-Invariant Face Recognition via 3D Face Reconstruction Using Gabor Filter Bank from a 2D Single Image (AM, HM, KF), pp. 4708–4713.
ICPRICPR-2014-NaegelP #component #image
Colour Image Filtering with Component-Graphs (BN, NP), pp. 1621–1626.
ICPRICPR-2014-SchubertM #detection #robust
Robust Registration and Filtering for Moving Object Detection in Aerial Videos (FS, KM), pp. 2808–2813.
ICPRICPR-2014-ZhangHLHZL #approach #feature model #hybrid
A Hybrid Feature Selection Approach by Correlation-Based Filters and SVM-RFE (JZ, XH, PPL, WH, YZ, HL), pp. 3684–3689.
ICPRICPR-2014-ZhangWL #using #video
Video Text Extraction Using the Fusion of Color Gradient and Log-Gabor Filter (ZZ, WW, KL), pp. 2938–2943.
KDDKDD-2014-CharlinZL #collaboration #library
Leveraging user libraries to bootstrap collaborative filtering (LC, RSZ, HL), pp. 173–182.
KDIRKDIR-2014-FukumotoSSM #collaboration #recommendation
Incorporating Guest Preferences into Collaborative Filtering for Hotel Recommendation (FF, HS, YS, SM), pp. 22–30.
KEODKEOD-2014-AliE #collaboration #recommendation #semantics
Semantic-based Collaborative Filtering for Enhancing Recommendation (GA, AE), pp. 176–185.
RecSysRecSys-2014-AdamopoulosT14a #bias #collaboration #on the #probability #recommendation
On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems (PA, AT), pp. 153–160.
RecSysRecSys-2014-AdamsSBKHM #collaboration #health #named
PERSPeCT: collaborative filtering for tailored health communications (RJA, RSS, KB, RLK, TKH, BMM), pp. 329–332.
RecSysRecSys-2014-LoniSLH #collaboration
“Free lunch” enhancement for collaborative filtering with factorization machines (BL, AS, ML, AH), pp. 281–284.
RecSysRecSys-2014-SedhainSBXC #collaboration #recommendation #social
Social collaborative filtering for cold-start recommendations (SS, SS, DB, LX, JC), pp. 345–348.
RecSysRecSys-2014-VerstrepenG #collaboration #nearest neighbour
Unifying nearest neighbors collaborative filtering (KV, BG), pp. 177–184.
RecSysRecSys-2014-WaldnerV #exclamation #game studies #recommendation #timeline #twitter
Emphasize, don’t filter!: displaying recommendations in Twitter timelines (WW, JV), pp. 313–316.
SEKESEKE-2014-ChenHQJ #performance #static analysis #using
Improving Static Analysis Performance Using Rule-Filtering Technique (DC, RH, BQ, SJ), pp. 19–24.
SIGIRSIGIR-2014-AmigoGM #clustering #effectiveness #metric #retrieval
A general account of effectiveness metrics for information tasks: retrieval, filtering, and clustering (EA, JG, SM), p. 1289.
SIGIRSIGIR-2014-EfronWS #learning #query
Learning sufficient queries for entity filtering (ME, CW, GS), pp. 1091–1094.
SIGIRSIGIR-2014-NieLY #collaboration
Weighted aspect-based collaborative filtering (YN, YL, XY), pp. 1071–1074.
POPLPOPL-2014-LongSKR #fault #generative #integer
Sound input filter generation for integer overflow errors (FL, SSD, DK, MCR), pp. 439–452.
SACSAC-2014-JuniorGM #collaboration #constraints #modelling #personalisation
Personalized collaborative filtering: a neighborhood model based on contextual constraints (EBSJ, RG, MGM), pp. 919–924.
HPCAHPCA-2014-FytrakiVKFG #monitoring #named #programmable
FADE: A programmable filtering accelerator for instruction-grain monitoring (SF, EV, YOK, BF, BG), pp. 108–119.
HPDCHPDC-2014-TangMEL0G #manycore #scalability
Data filtering for scalable high-dimensional k-NN search on multicore systems (XT, SM, DME, KCL, ZH, MG), pp. 305–310.
CASECASE-2013-RenfrewBC #locality
Particle filter based active localization of target and needle in robotic image-guided intervention systems (MR, ZB, MCC), pp. 448–454.
CASECASE-2013-YanLS #detection #fault #process #statistics
Fault detection of cooling coils based on unscented Kalman filters and statistical process control (YY, PBL, BS), pp. 237–242.
DATEDATE-2013-PontarelliOEW #detection #fault #using
Error detection in ternary CAMs using bloom filters (SP, MO, AE, SJW), pp. 1474–1479.
HTHT-2013-ZhangZLM #collaboration #framework #matrix
A general collaborative filtering framework based on matrix bordered block diagonal forms (YZ, MZ, YL, SM), pp. 219–224.
ICDARICDAR-2013-HuangSU #detection
Scene Character Detection by an Edge-Ray Filter (RH, PS, SU), pp. 462–466.
ICDARICDAR-2013-LeVTO #categorisation #documentation
Improving Logo Spotting and Matching for Document Categorization by a Post-Filter Based on Homography (VPL, MV, DCT, JMO), pp. 270–274.
ICDARICDAR-2013-MaraK #3d #invariant
Vectorization of 3D-Characters by Integral Invariant Filtering of High-Resolution Triangular Meshes (HM, SK), pp. 62–66.
SIGMODSIGMOD-2013-ChenCC #performance #query
An efficient query indexing mechanism for filtering geo-textual data (LC, GC, XC), pp. 749–760.
SIGMODSIGMOD-2013-FanXS #adaptation #monitoring #named #performance #realtime
FAST: differentially private real-time aggregate monitor with filtering and adaptive sampling (LF, LX, VSS), pp. 1065–1068.
VLDBVLDB-2013-AlexiouKL #adaptation
Adaptive Range Filters for Cold Data: Avoiding Trips to Siberia (KA, DK, PÅL), pp. 1714–1725.
VLDBVLDB-2013-DuttaNB #approach #approximate #data type #detection #streaming
Streaming Quotient Filter: A Near Optimal Approximate Duplicate Detection Approach for Data Streams (SD, AN, SKB), pp. 589–600.
MSRMSR-2013-ShokripourAKZ #debugging #recommendation #why
Why so complicated? simple term filtering and weighting for location-based bug report assignment recommendation (RS, JA, ZMK, SZ), pp. 2–11.
CHICHI-2013-LiaoF #interactive #topic
Beyond the filter bubble: interactive effects of perceived threat and topic involvement on selective exposure to information (QVL, WTF), pp. 2359–2368.
CSCWCSCW-2013-SaidFJA #algorithm #collaboration #evaluation #recommendation
User-centric evaluation of a K-furthest neighbor collaborative filtering recommender algorithm (AS, BF, BJJ, SA), pp. 1399–1408.
CIKMCIKM-2013-AlbakourMO #effectiveness #microblog #on the #realtime
On sparsity and drift for effective real-time filtering in microblogs (MDA, CM, IO), pp. 419–428.
CIKMCIKM-2013-MorishimaYTSK #dependence #performance #ranking #web
Efficient filtering and ranking schemes for finding inclusion dependencies on the web (AM, EY, MT, SS, HK), pp. 763–768.
CIKMCIKM-2013-VanderbauwhedeFACM #throughput #using
High throughput filtering using FPGA-acceleration (WV, AF, LA, SRC, MM), pp. 1245–1248.
CIKMCIKM-2013-ZhaoZW #collaboration #interactive
Interactive collaborative filtering (XZ, WZ, JW), pp. 1411–1420.
CIKMCIKM-2013-ZhouC #documentation
Entity-centric document filtering: boosting feature mapping through meta-features (MZ, KCCC), pp. 119–128.
ICMLICML-c3-2013-ErolLRR #parametricity
The Extended Parameter Filter (YE, LL, BR, SJR), pp. 1103–1111.
ICMLICML-c3-2013-GeorgievN #collaboration #framework #strict
A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines (KG, PN), pp. 1148–1156.
ICMLICML-c3-2013-LakshminarayananRT #top-down
Top-down particle filtering for Bayesian decision trees (BL, DMR, YWT), pp. 280–288.
KDDKDD-2013-NiemannW #approach #collaboration #recommendation
A new collaborative filtering approach for increasing the aggregate diversity of recommender systems (KN, MW), pp. 955–963.
KDIRKDIR-KMIS-2013-BerkaniN #collaboration #learning #recommendation #semantics
Semantic Collaborative Filtering for Learning Objects Recommendation (LB, ON), pp. 52–63.
RecSysRecSys-2013-AdamopoulosT #collaboration #predict #recommendation #using
Recommendation opportunities: improving item prediction using weighted percentile methods in collaborative filtering systems (PA, AT), pp. 351–354.
RecSysRecSys-2013-BelloginPC #collaboration #probability
Probabilistic collaborative filtering with negative cross entropy (AB, JP, PC), pp. 387–390.
RecSysRecSys-2013-CodinaRC #modelling #semantics
Local context modeling with semantic pre-filtering (VC, FR, LC), pp. 363–366.
RecSysRecSys-2013-KoyejoAG #collaboration #matrix
Retargeted matrix factorization for collaborative filtering (OK, SA, JG), pp. 49–56.
RecSysRecSys-2013-MirbakhshL #clustering #collaboration
Clustering-based factorized collaborative filtering (NM, CXL), pp. 315–318.
RecSysRecSys-2013-NatarajanSD #collaboration
Which app will you use next?: collaborative filtering with interactional context (NN, DS, ISD), pp. 201–208.
RecSysRecSys-2013-OstrikovRS #collaboration #metadata #using
Using geospatial metadata to boost collaborative filtering (AO, LR, BS), pp. 423–426.
RecSysRecSys-2013-RonenKZN #collaboration #recommendation
Selecting content-based features for collaborative filtering recommenders (RR, NK, EZ, NN), pp. 407–410.
RecSysRecSys-2013-WangHZL #collaboration #multi #on the fly #online #recommendation
Online multi-task collaborative filtering for on-the-fly recommender systems (JW, SCHH, PZ, ZL), pp. 237–244.
SEKESEKE-2013-HeDWCL #collaboration #topic
Comparing Collaborative Filtering Methods Based on User-Topic Ratings (TH, XD, WW, ZC, JL), pp. 312–317.
SIGIRSIGIR-2013-DimopoulosNS #performance #query
A candidate filtering mechanism for fast top-k query processing on modern cpus (CD, SN, TS), pp. 723–732.
SIGIRSIGIR-2013-PappasP #analysis #collaboration #sentiment
Sentiment analysis of user comments for one-class collaborative filtering over ted talks (NP, APB), pp. 773–776.
SIGIRSIGIR-2013-ZhangCWY #collaboration #optimisation
Optimizing top-n collaborative filtering via dynamic negative item sampling (WZ, TC, JW, YY), pp. 785–788.
SIGIRSIGIR-2013-ZhangZLM #collaboration #matrix
Improve collaborative filtering through bordered block diagonal form matrices (YZ, MZ, YL, SM), pp. 313–322.
SACSAC-2013-Amavia #towards
Filtering XFD toward interoperability (JA, MHFA), pp. 868–871.
SACSAC-2013-BlancoMLJ #approach #probability
A Kalman filter based approach to probabilistic gas distribution mapping (JLB, JGM, AJL, JGJ), pp. 217–222.
SACSAC-2013-HayashiIN #recommendation #visual notation
A visual analytics tool for system logs adopting variable recommendation and feature-based filtering (AH, TI, SN), pp. 996–998.
SACSAC-2013-NikolaevskiyLPPG #multi #named #scalability
isBF: scalable in-packet bloom filter based multicast (IN, AL, TP, VP, AG), pp. 646–648.
SACSAC-2013-RodriguesCPZ #database #visual notation #visualisation
Hierarchical visual filtering, pragmatic and epistemic actions for database visualization (JFRJ, CEC, AFdP, LAMZ), pp. 946–952.
SACSAC-2013-SenatoreP #collaboration #concept analysis #fuzzy #navigation
Lattice navigation for collaborative filtering by means of (fuzzy) formal concept analysis (SS, GP), pp. 920–926.
DACDAC-2012-WangKPRLFMP #adaptation #design #optimisation #statistics
Statistical design and optimization for adaptive post-silicon tuning of MEMS filters (FW, GK, AP, JR, XL, GKF, TM, LTP), pp. 176–181.
DATEDATE-2012-AksoyCFM #design #finite
Design of low-complexity digital finite impulse response filters on FPGAs (LA, EC, PFF, JCM), pp. 1197–1202.
DATEDATE-2012-SekaninaS #image #logic #multi #towards
Towards new applications of multi-function logic: Image multi-filtering (LS, VS), pp. 824–827.
DATEDATE-2012-WanK #embedded #monitoring
Monitoring active filters under automotive aging scenarios with embedded instrument (JW, HGK), pp. 1096–1101.
DATEDATE-2012-YunLY #ram
Bloom filter-based dynamic wear leveling for phase-change RAM (JY, SL, SY), pp. 1513–1518.
HTHT-2012-AbelHHST #semantics #social #web
Semantics + filtering + search = twitcident. exploring information in social web streams (FA, CH, GJH, RS, KT), pp. 285–294.
SIGMODSIGMOD-2012-ParameswaranGPPRW #algorithm #named
CrowdScreen: algorithms for filtering data with humans (AGP, HGM, HP, NP, AR, JW), pp. 361–372.
SIGMODSIGMOD-2012-WangLF #adaptation #framework #similarity
Can we beat the prefix filtering?: an adaptive framework for similarity join and search (JW, GL, JF), pp. 85–96.
VLDBVLDB-2012-ErdosILTB #multi #problem
The Filter-Placement Problem and its Application to Minimizing Information Multiplicity (DE, VI, AL, ET, AB), pp. 418–429.
ITiCSEITiCSE-2012-Asad #image #student
Junior high school students performing image smoothening and noise filtering by applying mathematical operations (KA), p. 390.
FASEFASE-2012-TrikiLBDB #combinator #modelling #testing
Model-Based Filtering of Combinatorial Test Suites (TT, YL, LdB, FD, JB), pp. 439–454.
TACASTACAS-2012-CoxSC #bound #precise #verification
A Bit Too Precise? Bounded Verification of Quantized Digital Filters (AC, SS, BYEC), pp. 33–47.
CSMRCSMR-2012-LamkanfiD #analysis #debugging
Filtering Bug Reports for Fix-Time Analysis (AL, SD), pp. 379–384.
CHICHI-2012-CasiezRV #interactive
1 € filter: a simple speed-based low-pass filter for noisy input in interactive systems (GC, NR, DV), pp. 2527–2530.
CHICHI-2012-Golbeck #challenge #twitter #web
The twitter mute button: a web filtering challenge (JG), pp. 2755–2758.
CIKMCIKM-2012-AsadiL #documentation #generative #performance #ranking
Fast candidate generation for two-phase document ranking: postings list intersection with bloom filters (NA, JL), pp. 2419–2422.
CIKMCIKM-2012-ChenZMZ #social
4Is of social bully filtering: identity, inference, influence, and intervention (YC, LZ, AM, YZ), pp. 2677–2679.
CIKMCIKM-2012-DybalaRAS #analysis #comparative #generative #ranking
Data filtering in humor generation: comparative analysis of hit rate and co-occurrence rankings as a method to choose usable pun candidates (PD, RR, KA, KS), pp. 2587–2590.
CIKMCIKM-2012-JinCKLZ #protocol #query
A filter-based protocol for continuous queries over imprecise location data (YJ, RC, BK, KyL, YZ), pp. 365–374.
CIKMCIKM-2012-RenLZZ #collaboration #performance
The efficient imputation method for neighborhood-based collaborative filtering (YR, GL, JZ, WZ), pp. 684–693.
CIKMCIKM-2012-WangSGM #adaptation #collaboration
Adapting vector space model to ranking-based collaborative filtering (SW, JS, BJG, JM), pp. 1487–1491.
CIKMCIKM-2012-YangZW #collaboration #incremental #predict #scalability #using
Scalable collaborative filtering using incremental update and local link prediction (XY, ZZ, KW), pp. 2371–2374.
ICMLICML-2012-DefazioC #collaboration #performance #visual notation
A Graphical Model Formulation of Collaborative Filtering Neighbourhood Methods with Fast Maximum Entropy Training (AD, TSC), p. 75.
ICMLICML-2012-WangX #collaboration #matrix
Stability of matrix factorization for collaborative filtering (YXW, HX), p. 26.
ICPRICPR-2012-BaoSYA #framework
An edge-preserving filtering framework for visibility restoration (LB, YS, QY, NA), pp. 384–387.
ICPRICPR-2012-BeyanF
A filtering mechanism for normal fish trajectories (CB, RBF), pp. 2286–2289.
ICPRICPR-2012-BianZSL #realtime
Parallelized Annealed Particle Filter for real-time marker-less motion tracking via heterogeneous computing (YB, XZ, JS, YL), pp. 2444–2447.
ICPRICPR-2012-BoumaizaT #recognition
Impact of a codebook filtering step on a galois lattice structure for graphics recognition (AB, ST), pp. 278–281.
ICPRICPR-2012-ChenLL #artificial reality #image #using
Depth image enhancement for Kinect using region growing and bilateral filter (LC, HL, SL), pp. 3070–3073.
ICPRICPR-2012-GuoWYLG #query
Query by humming via hierarchical filters (ZG, QW, LY, GL, JG), pp. 3021–3024.
ICPRICPR-2012-IkemuraF #detection #using
Human detection by Haar-like filtering using depth information (SI, HF), pp. 813–816.
ICPRICPR-2012-Imajo #algorithm #performance #using
Fast Gaussian filtering algorithm using splines (KI), pp. 489–492.
ICPRICPR-2012-IsmaeilAO #evaluation #exponential #kernel
Bilateral filter evaluation based on exponential kernels (KAI, DA, BEO), pp. 258–261.
ICPRICPR-2012-KiwanukaW #clustering
Cluster-based vector-attribute filtering for CT and MRI enhancement (FNK, MHFW), pp. 3112–3115.
ICPRICPR-2012-LinCKLL #adaptation #approximate
Adaptive support-window approximation to bilateral filtering (GSL, CYC, CTK, WNL, KCL), pp. 2013–2016.
ICPRICPR-2012-LiuGL #artificial reality
Guided inpainting and filtering for Kinect depth maps (JL, XG, JL), pp. 2055–2058.
ICPRICPR-2012-LiuSZ #feature model #graph
Sparsity Score: A new filter feature selection method based on graph (ML, DS, DZ), pp. 959–962.
ICPRICPR-2012-Lotte #classification
A new feature and associated optimal spatial filter for EEG signal classification: Waveform Length (FL), pp. 1302–1305.
ICPRICPR-2012-LuoKM #3d #using
Endoscope 3-D motion tracking using an aggressive particle filtering for boosting electromagnetic guidance endoscopy (XL, TK, KM), pp. 117–120.
ICPRICPR-2012-NguyenJ #metric
Enhancing motion field with OA-filter and alternative measurement (DDN, JWJ), pp. 870–873.
ICPRICPR-2012-OGorman #fault #privacy #segmentation #video
Video privacy filters with tolerance to segmentation errors for video conferencing and surveillance (LO), pp. 1835–1838.
ICPRICPR-2012-RosRG
Articulated Particle Filter for hand tracking (GR, JMdR, GGM), pp. 3581–3585.
ICPRICPR-2012-SoranHLS #detection #using
Tremor detection using motion filtering and SVM (BS, JNH, SIL, LGS), pp. 178–181.
ICPRICPR-2012-VacavantAMS #performance
Fast smoothed shock filtering (AV, AAK, PYM, JS), pp. 182–185.
ICPRICPR-2012-WangGLLG #multi #query
Tempo variation based multilayer filters for query by humming (QW, ZG, BL, GL, JG), pp. 3034–3037.
ICPRICPR-2012-XuGN #image #using
Morphological filtering in shape spaces: Applications using tree-based image representations (YX, TG, LN), pp. 485–488.
ICPRICPR-2012-YangZLP #3d #optimisation #using
Coupled 3D tracking and pose optimization of rigid objects using particle filter (HY, YZ, XL, IP), pp. 1451–1454.
ICPRICPR-2012-YaoZLL #algorithm #effectiveness #modelling #performance
A fast and effective appearance model-based particle filtering object tracking algorithm (ZY, YZ, JL, WL), pp. 1475–1478.
KDDKDD-2012-ZhouZ #collaboration #learning
Learning binary codes for collaborative filtering (KZ, HZ), pp. 498–506.
KDIRKDIR-2012-Bhasker #algorithm #case study #collaboration #comparative
Comparative Study of Collaborative Filtering Algorithms (BB), pp. 132–137.
KDIRKDIR-2012-DesarkarS #collaboration
User based Collaborative Filtering with Temporal Information for Purchase Data (MSD, SS), pp. 55–64.
KDIRKDIR-2012-FukumotoMM #analysis #collaboration #recommendation #sentiment
Collaborative Filtering based on Sentiment Analysis of Guest Reviews for Hotel Recommendation (FF, CM, SM), pp. 193–198.
RecSysRecSys-2012-BelloginP #clustering #collaboration #graph #using
Using graph partitioning techniques for neighbour selection in user-based collaborative filtering (AB, JP), pp. 213–216.
RecSysRecSys-2012-RaghavanGG #bibliography #collaboration #quality
Review quality aware collaborative filtering (SR, SG, JG), pp. 123–130.
RecSysRecSys-2012-ShiKBLOH #collaboration #learning #named #rank
CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering (YS, AK, LB, ML, NO, AH), pp. 139–146.
SEKESEKE-2012-GaoKN #feature model #metric
Stability of Filter-Based Feature Selection Methods for Imbalanced Software Measurement Data (KG, TMK, AN), pp. 74–79.
SIGIRSIGIR-2012-YangCZY #collaboration #mining
Collaborative filtering with short term preferences mining (DY, TC, WZ, YY), pp. 1043–1044.
ECMFAECMFA-2012-GoldschmidtM #domain-specific language #query
An Internal Domain-Specific Language for Constructing OPC UA Queries and Event Filters (TG, WM), pp. 62–73.
SACSAC-2012-BasuVDK #case study #collaboration #performance #privacy
Feasibility of a privacy preserving collaborative filtering scheme on the Google App Engine: a performance case study (AB, JV, TD, HK), pp. 447–452.
SACSAC-2012-BoumazaB #collaboration #probability
Stochastic search for global neighbors selection in collaborative filtering (AMB, AB), pp. 232–237.
SACSAC-2012-GriffithOS #collaboration #predict #rating
Investigations into user rating information and predictive accuracy in a collaborative filtering domain (JG, CO, HS), pp. 937–942.
SACSAC-2012-LiuHHYS #multi #performance
An application of circumscribed circle filter in the Multi-Stencils Fast Marching method (HL, CCH, HH, MY, ES), pp. 33–38.
SACSAC-2012-MalakutiA #composition #evolution
Evolution of composition filters to event composition (SM, MA), pp. 1850–1857.
SACSAC-2012-QiCLHW #collaboration #using
Using inferred tag ratings to improve user-based collaborative filtering (QQ, ZC, JL, CH, QW), pp. 2008–2013.
SACSAC-2012-SaidJA #collaboration
Analyzing weighting schemes in collaborative filtering: cold start, post cold start and power users (AS, BJJ, SA), pp. 2035–2040.
PPoPPPPoPP-2012-BuhlerALC #concurrent #performance #streaming
Efficient deadlock avoidance for streaming computation with filtering (JDB, KA, PL, RDC), pp. 235–246.
CASECASE-2011-MaiHHH #adaptation #algorithm #performance #speech
A fast adaptive Kalman filtering algorithm for speech enhancement (QM, DH, YH, ZH), pp. 327–332.
CASECASE-2011-SunLOS #detection #energy #fault
Building energy doctors: SPC and Kalman filter-based fault detection (BS, PBL, ZO, FS), pp. 333–340.
DATEDATE-2011-FoucauldDDC
An antenna-filter codesign for cardiac implants (EdF, JBD, CD, PC), pp. 728–733.
DATEDATE-2011-PanHHL #effectiveness
A cost-effective substantial-impact-filter based method to tolerate voltage emergencies (SP, YH, XH, XL), pp. 311–315.
DocEngDocEng-2011-AlmeidaHY #case study
Contributions to the study of SMS spam filtering: new collection and results (TAA, JMGH, AY), pp. 259–262.
ICDARICDAR-2011-BukhariSB #set #using
Text-Line Extraction Using a Convolution of Isotropic Gaussian Filter with a Set of Line Filters (SSB, FS, TMB), pp. 579–583.
ICDARICDAR-2011-NguyenB #2d #feature model #verification
An Application of the 2D Gaussian Filter for Enhancing Feature Extraction in Off-line Signature Verification (VN, MB), pp. 339–343.
SIGMODSIGMOD-2011-LiDF #algorithm #approximate #named #performance
Faerie: efficient filtering algorithms for approximate dictionary-based entity extraction (GL, DD, JF), pp. 529–540.
ICPCICPC-2011-LuciaPOPP #traceability #using
Improving IR-based Traceability Recovery Using Smoothing Filters (ADL, MDP, RO, AP, SP), pp. 21–30.
ICSMEICSM-2011-HouP #api #code completion #evaluation #sorting
An evaluation of the strategies of sorting, filtering, and grouping API methods for Code Completion (DH, DMP), pp. 233–242.
MSRMSR-2011-HirataM
Do comments explain codes adequately?: investigation by text filtering (YH, OM), pp. 242–245.
CIAACIAA-J-2010-AllauzenRS11 #algorithm #composition #finite #performance #transducer
A Filter-Based Algorithm for Efficient Composition of Finite-State Transducers (CA, MR, JS), pp. 1781–1795.
AFLAFL-2011-ManeaT #network
Accepting Networks of Evolutionary Processors with Subregular Filters (FM, BT), pp. 300–314.
LATALATA-2011-DassowMT #network
Networks of Evolutionary Processors with Subregular Filters (JD, FM, BT), pp. 262–273.
HCIDHM-2011-LeiY
Contact Area Determination between a N95 Filtering Facepiece Respirator and a Headform (ZL, J(Y), pp. 119–128.
HCIHCI-UA-2011-HijikataYTN #development #information management
Development of Information Filtering Systems for Disaster Prevention (YH, TY, YT, SN), pp. 318–327.
HCIHIMI-v1-2011-JeonLW #analysis
Analysis of Content Filtering Software (WJ, YL, DW), pp. 548–557.
CIKMCIKM-2011-BelloginWC #collaboration
Structured collaborative filtering (AB, JW, PC), pp. 2257–2260.
CIKMCIKM-2011-BoimMN #collaboration #recommendation #refinement
Diversification and refinement in collaborative filtering recommender (RB, TM, SN), pp. 739–744.
CIKMCIKM-2011-KoloniariNPS #distributed
One is enough: distributed filtering for duplicate elimination (GK, NN, EP, DS), pp. 433–442.
CIKMCIKM-2011-TomasATV #named #query #scalability
RoSeS: a continuous query processor for large-scale RSS filtering and aggregation (JCT, BA, NT, DV), pp. 2549–2552.
CIKMCIKM-2011-UysalC #approach #microblog #ranking #twitter
User oriented tweet ranking: a filtering approach to microblogs (IU, WBC), pp. 2261–2264.
CIKMCIKM-2011-WangBFG #clustering #information management
Filtering and clustering relations for unsupervised information extraction in open domain (WW, RB, OF, BG), pp. 1405–1414.
ECIRECIR-2011-BelloginWC #collaboration #ranking #retrieval
Text Retrieval Methods for Item Ranking in Collaborative Filtering (AB, JW, PC), pp. 301–306.
ECIRECIR-2011-LipkaS #information management #representation
Classifying with Co-stems — A New Representation for Information Filtering (NL, BS), pp. 307–313.
ECIRECIR-2011-ShiLH #collaboration #multi #ranking #self
Reranking Collaborative Filtering with Multiple Self-contained Modalities (YS, ML, AH), pp. 699–703.
KDDKDD-2011-MenonCGAK #collaboration #predict #using
Response prediction using collaborative filtering with hierarchies and side-information (AKM, KPC, SG, DA, NK), pp. 141–149.
KDDKDD-2011-SimonKL #classification #statistics
A simple statistical model and association rule filtering for classification (GJS, VK, PWL), pp. 823–831.
KDIRKDIR-2011-GriffithOS #collaboration #learning #parametricity
Learning Neighbourhood-based Collaborative Filtering Parameters (JG, CO, HS), pp. 452–455.
MLDMMLDM-2011-AdolfHHCH #analysis #grid #power management
Techniques for Improving Filters in Power Grid Contingency Analysis (RA, DH, MH, YC, ZH), pp. 599–611.
RecSysRecSys-2011-GeXTL #collaboration
Collaborative filtering with collective training (YG, HX, AT, QL), pp. 281–284.
RecSysRecSys-2011-HuP #collaboration
Enhancing collaborative filtering systems with personality information (RH, PP), pp. 197–204.
RecSysRecSys-2011-KatzOSRS #collaboration #using #wiki
Using Wikipedia to boost collaborative filtering techniques (GK, NO, BS, LR, GS), pp. 285–288.
RecSysRecSys-2011-PizzatoS #collaboration #people #probability #recommendation
Stochastic matching and collaborative filtering to recommend people to people (LASP, CS), pp. 341–344.
RecSysRecSys-2011-TakacsPT #collaboration #feedback
Applications of the conjugate gradient method for implicit feedback collaborative filtering (GT, IP, DT), pp. 297–300.
RecSysRecSys-2011-ZhaoFLL #collaboration
Shared collaborative filtering (YZ, XF, JL, BL), pp. 29–36.
SEKESEKE-2011-Martoglia #development #semantics
Facilitate IT-Providing SMEs in Software Development: a Semantic Helper for Filtering and Searching Knowledge (RM), pp. 130–136.
SIGIRSIGIR-2011-LeeC #collaboration
Collaborative cyberporn filtering with collective intelligence (LHL, HHC), pp. 1153–1154.
SIGIRSIGIR-2011-MoshfeghiPJ #collaboration #semantics #using
Handling data sparsity in collaborative filtering using emotion and semantic based features (YM, BP, JMJ), pp. 625–634.
SIGIRSIGIR-2011-WuW #collaboration
Rating-based collaborative filtering combined with additional regularization (SW, SW), pp. 1195–1196.
SIGIRSIGIR-2011-YangLSZZ #collaboration #learning #recommendation #using
Collaborative competitive filtering: learning recommender using context of user choice (SHY, BL, AJS, HZ, ZZ), pp. 295–304.
SIGIRSIGIR-2011-ZhangZX #documentation #feedback
Filtering semi-structured documents based on faceted feedback (LZ, YZ, QX), pp. 645–654.
SACSAC-2011-ZhangWAWLL #performance #using
Fast lists intersection with Bloom filter using graphics processing units (FZ, DW, NA, GW, XL, JL), pp. 825–826.
ASPLOSASPLOS-2011-HayashizakiWISN #performance
Improving the performance of trace-based systems by false loop filtering (HH, PW, HI, MJS, TN), pp. 405–418.
HPCAHPCA-2011-BlakeDM #scheduling #transaction
Bloom Filter Guided Transaction Scheduling (GB, RGD, TNM), pp. 75–86.
CSLCSL-2011-BernadetL #modelling #morphism #orthogonal #polymorphism
Filter Models: Non-idempotent Intersection Types, Orthogonality and Polymorphism (AB, SL), pp. 51–66.
TLCATLCA-2011-BakelBd #λ-calculus #μ-calculus
A Filter Model for the λμ-Calculus — (Extended Abstract) (SvB, FB, Ud), pp. 213–228.
CASECASE-2010-SchirruPN #maintenance #predict #process #robust
Particle filtering of hidden Gamma processes for robust Predictive Maintenance in semiconductor manufacturing (AS, SP, GDN), pp. 51–56.
DATEDATE-2010-ChengLW #diagrams #optimisation
Optimization of FIR filter to improve eye diagram for general transmission line systems (YSC, YCL, RBW), pp. 1321–1324.
DATEDATE-2010-Jerger #named
SigNet: Network-on-chip filtering for coarse vector directories (NDEJ), pp. 1378–1383.
DATEDATE-2010-VasicekSB #design #implementation
A method for design of impulse bursts noise filters optimized for FPGA implementations (ZV, LS, MB), pp. 1731–1736.
SIGMODSIGMOD-2010-SternBB #approach #network #query
Processing continuous join queries in sensor networks: a filtering approach (MS, KB, EB), pp. 267–278.
ICSMEICSM-2010-ZawawyKM #analysis
Log filtering and interpretation for root cause analysis (HZ, KK, JM), pp. 1–5.
CIAACIAA-2010-AllauzenRS #composition #finite #performance #transducer
Filters for Efficient Composition of Weighted Finite-State Transducers (CA, MR, JS), pp. 28–38.
CIKMCIKM-2010-LiHZC #collaboration
Improving one-class collaborative filtering by incorporating rich user information (YL, JH, CZ, YC), pp. 959–968.
CIKMCIKM-2010-LiuCXD #collaboration #personalisation #ranking
Exploiting user interests for collaborative filtering: interests expansion via personalized ranking (QL, EC, HX, CHQD), pp. 1697–1700.
CIKMCIKM-2010-LiuXZY #collaboration #feedback
Unifying explicit and implicit feedback for collaborative filtering (NNL, EWX, MZ, QY), pp. 1445–1448.
CIKMCIKM-2010-PengZZW #collaboration #recommendation #social
Collaborative filtering in social tagging systems based on joint item-tag recommendations (JP, DDZ, HZ, FYW), pp. 809–818.
CIKMCIKM-2010-ZhouLBXL #information management #mining #reasoning #set
Rough sets based reasoning and pattern mining for a two-stage information filtering system (XZ, YL, PB, YX, RYKL), pp. 1429–1432.
ECIRECIR-2010-BelloginC #approach #collaboration #performance #predict
A Performance Prediction Approach to Enhance Collaborative Filtering Performance (AB, PC), pp. 382–393.
ECIRECIR-2010-HuLW #collaboration
User’s Latent Interest-Based Collaborative Filtering (BH, ZL, JW), pp. 619–622.
ECIRECIR-2010-JamborW #approach #collaboration #fault
Goal-Driven Collaborative Filtering — A Directional Error Based Approach (TJ, JW), pp. 407–419.
ECIRECIR-2010-PiwowarskiFMLR #documentation
Filtering Documents with Subspaces (BP, IF, YM, ML, KvR), pp. 615–618.
ECIRECIR-2010-RedpathGMC #collaboration #recommendation
Collaborative Filtering: The Aim of Recommender Systems and the Significance of User Ratings (JR, DHG, SIM, LC), pp. 394–406.
ICMLICML-2010-AsuncionLIS
Particle Filtered MCMC-MLE with Connections to Contrastive Divergence (AUA, QL, ATI, PS), pp. 47–54.
ICMLICML-2010-BontempiM #array
Causal filter selection in microarray data (GB, PEM), pp. 95–102.
ICMLICML-2010-HarpaleY #adaptation #learning #multi
Active Learning for Multi-Task Adaptive Filtering (AH, YY), pp. 431–438.
ICPRICPR-2010-AliL #correlation #question #recognition
Are Correlation Filters Useful for Human Action Recognition? (SA, SL), pp. 2608–2611.
ICPRICPR-2010-AvenelMP #probability #set
Stochastic Filtering of Level Sets for Curve Tracking (CA, ÉM, PP), pp. 3553–3556.
ICPRICPR-2010-BaradaraniMW #design #image #on the
On the Design of a Class of Odd-Length Biorthogonal Wavelet Filter Banks for Signal and Image Processing (AB, PM, QMJW), pp. 2282–2285.
ICPRICPR-2010-CarneiroN #architecture #learning
The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking (GC, JCN), pp. 2065–2068.
ICPRICPR-2010-DuB #image #segmentation
Retinal Image Segmentation Based on Mumford-Shah Model and Gabor Wavelet Filter (XD, TDB), pp. 3384–3387.
ICPRICPR-2010-FahnC #algorithm #realtime #recognition
Real-Time Upper-Limbs Posture Recognition Based on Particle Filters and AdaBoost Algorithms (CSF, SLC), pp. 3854–3857.
ICPRICPR-2010-GhaeminiaSS #adaptation #using
Adaptive Motion Model for Human Tracking Using Particle Filter (MHG, AHS, SBS), pp. 2073–2076.
ICPRICPR-2010-Gonzalez-CaravacaTP
Phone-Conditioned Suboptimal Wiener Filtering (GGC, DTT, MP), pp. 4480–4483.
ICPRICPR-2010-GrazziniDS #image #multi #using
Multichannel Image Regularisation Using Anisotropic Geodesic Filtering (JG, SED, PS), pp. 2664–2667.
ICPRICPR-2010-HanerH #estimation #novel #online
On-Line Structure and Motion Estimation Based on a Novel Parameterized Extended Kalman Filter (SH, AH), pp. 1836–1839.
ICPRICPR-2010-KimYJS #estimation #hybrid #robust #visual notation
Receding Horizon Estimation for Hybrid Particle Filters and Application for Robust Visual Tracking (DYK, EY, MJ, VS), pp. 3508–3512.
ICPRICPR-2010-LathenCKB #detection #linear #robust
Non-ring Filters for Robust Detection of Linear Structures (GL, OC, HK, MB), pp. 233–236.
ICPRICPR-2010-LeECA #case study #classification
A Study of Voice Source and Vocal Tract Filter Based Features in Cognitive Load Classification (PNL, JE, EHCC, EA), pp. 4516–4519.
ICPRICPR-2010-LiPBT #2d #recognition
Improved Facial Expression Recognition with Trainable 2-D Filters and Support Vector Machines (PL, SLP, AB, FHCT), pp. 3732–3735.
ICPRICPR-2010-Manzanera #similarity
Local Jet Based Similarity for NL-Means Filtering (AM), pp. 2668–2671.
ICPRICPR-2010-NasonovK #performance #using
Fast Super-Resolution Using Weighted Median Filtering (AVN, ASK), pp. 2230–2233.
ICPRICPR-2010-NiSRM #learning #multi #online
Particle Filter Tracking with Online Multiple Instance Learning (ZN, SS, AR, BSM), pp. 2616–2619.
ICPRICPR-2010-PapariCP #detection #novel #using
Steerable Filtering Using Novel Circular Harmonic Functions with Application to Edge Detection (GP, PC, NP), pp. 3947–3950.
ICPRICPR-2010-PetersenK #analysis #estimation #modelling #process #statistics
Statistical Analysis of Kalman Filters by Conversion to Gauss-Helmert Models with Applications to Process Noise Estimation (AP, RK), pp. 2386–2389.
ICPRICPR-2010-QinVG #detection #image
Background Filtering for Improving of Object Detection in Images (GQ, BV, LG), pp. 922–925.
ICPRICPR-2010-QuelhasMC #3d #quantifier #using
3D Cell Nuclei Fluorescence Quantification Using Sliding Band Filter (PQ, AMM, ACC), pp. 2508–2511.
ICPRICPR-2010-SilvaLSBKT #classification #documentation
Enhancing the Filtering-Out of the Back-to-Front Interference in Color Documents with a Neural Classifier (GdFPeS, RDL, JMS, SB, AK, MT), pp. 2415–2419.
ICPRICPR-2010-StarkWP #representation #speech #using
Single Channel Speech Separation Using Source-Filter Representation (MS, MW, FP), pp. 826–829.
ICPRICPR-2010-SteerAM #data fusion #recognition #using
Audio-Visual Data Fusion Using a Particle Filter in the Application of Face Recognition (MAS, AAH, BM), pp. 4392–4395.
ICPRICPR-2010-SunB #3d #detection
3D Filtering for Injury Detection in Brain MRI (YS, BB), pp. 2568–2571.
ICPRICPR-2010-SungCCB #3d #estimation #mobile
Coarse-to-Fine Particle Filter by Implicit Motion Estimation for 3D Head Tracking on Mobile Devices (HS, KC, SC, HB), pp. 3615–3618.
ICPRICPR-2010-SutthiwichaipornAJ #quality
Iterative Fingerprint Enhancement with Matched Filtering and Quality Diffusion in Spatial-Frequency Domain (PS, VA, SJ), pp. 1257–1260.
ICPRICPR-2010-ZhangHTW #3d #evaluation #framework #modelling #using
3D Model Based Vehicle Tracking Using Gradient Based Fitness Evaluation under Particle Filter Framework (ZZ, KH, TT, YW), pp. 1771–1774.
KDIRKDIR-2010-AddisAV #categorisation
Assessing Progressive Filtering to Perform Hierarchical Text Categorization in Presence of Input Imbalance (AA, GA, EV), pp. 14–23.
KDIRKDIR-2010-BalcazarTZ
Filtering Association Rules with Negations on the Basis of Their Confidence Boost (JLB, CT, MEZ), pp. 263–268.
KDIRKDIR-2010-YakutPK #collaboration #named
PCF: Projection-based Collaborative Filtering (IY, HP, MK), pp. 408–413.
KRKR-2010-HajishirziA #probability #reasoning
Reasoning about Deterministic Actions with Probabilistic Prior and Application to Stochastic Filtering (HH, EA).
RecSysRecSys-2010-BaltrunasMR #collaboration #rank #recommendation
Group recommendations with rank aggregation and collaborative filtering (LB, TM, FR), pp. 119–126.
RecSysRecSys-2010-BarrioR #collaboration #recommendation
Geolocated movie recommendations based on expert collaborative filtering (JBB, XAR), pp. 347–348.
RecSysRecSys-2010-HannonBS #collaboration #recommendation #twitter #using
Recommending twitter users to follow using content and collaborative filtering approaches (JH, MB, BS), pp. 199–206.
RecSysRecSys-2010-JamborW #collaboration #multi #optimisation
Optimizing multiple objectives in collaborative filtering (TJ, JW), pp. 55–62.
RecSysRecSys-2010-KamishimaA #approach #collaboration #modelling
Nantonac collaborative filtering: a model-based approach (TK, SA), pp. 273–276.
RecSysRecSys-2010-KaragiannidisAZV #framework #named #recommendation
Hydra: an open framework for virtual-fusion of recommendation filters (SK, SA, CZ, AV), pp. 229–232.
RecSysRecSys-2010-KaratzoglouABO #collaboration #multi #recommendation
Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering (AK, XA, LB, NO), pp. 79–86.
RecSysRecSys-2010-KhoshneshinS #collaboration
Collaborative filtering via euclidean embedding (MK, WNS), pp. 87–94.
RecSysRecSys-2010-KhoshneshinS10a #clustering #collaboration #incremental
Incremental collaborative filtering via evolutionary co-clustering (MK, WNS), pp. 325–328.
RecSysRecSys-2010-LiuZXY #collaboration #online
Online evolutionary collaborative filtering (NNL, MZ, EWX, QY), pp. 95–102.
RecSysRecSys-2010-PessemierDDM #algorithm #collaboration #dependence #quality
Time dependency of data quality for collaborative filtering algorithms (TDP, SD, TD, LM), pp. 281–284.
RecSysRecSys-2010-ShiLH #collaboration #learning #matrix #rank
List-wise learning to rank with matrix factorization for collaborative filtering (YS, ML, AH), pp. 269–272.
SEKESEKE-2010-DuanCZQY #clustering #slicing #testing
Improving Cluster Selection Techniques of Regression Testing by Slice Filtering (YD, ZC, ZZ, JQ, ZY), pp. 253–258.
SEKESEKE-2010-Wang10a
Temporal Filter: A Temporal Extension to Wireshark Display Filter (Short Paper) (SW), pp. 421–424.
SIGIRSIGIR-2010-ElliotGPA
Finding and filtering information for children (DE, RG, TP, LA), p. 702.
SIGIRSIGIR-2010-FernandezPLB #approach #clustering
Where to start filtering redundancy?: a cluster-based approach (RTF, JP, DEL, AB), pp. 735–736.
SIGIRSIGIR-2010-LiuW #email #learning #multi
Multi-field learning for email spam filtering (WL, TW), pp. 745–746.
SIGIRSIGIR-2010-MojdehC #consistency #learning #using
Semi-supervised spam filtering using aggressive consistency learning (MM, GVC), pp. 751–752.
SIGIRSIGIR-2010-NanasVR #information management
A network-based model for high-dimensional information filtering (NN, MV, ANDR), pp. 202–209.
SIGIRSIGIR-2010-QiYHL
Re-examination on lam% in spam filtering (HQ, MY, XH, SL), pp. 757–758.
SIGIRSIGIR-2010-SriramFDFD #classification #information management #twitter
Short text classification in twitter to improve information filtering (BS, DF, ED, HF, MD), pp. 841–842.
SACSAC-2010-AlmeidaYA #anti #probability #reduction
Probabilistic anti-spam filtering with dimensionality reduction (TAA, AY, JA), pp. 1802–1806.
SACSAC-2010-AlmeidaYA10a #principle #using
Filtering spams using the minimum description length principle (TAA, AY, JA), pp. 1854–1858.
SACSAC-2010-KarakashianWCB #consistency #constraints #relational
Relational consistency by constraint filtering (SK, RJW, BYC, CB), pp. 2073–2074.
SACSAC-2010-Mello
Filtering the shadows from poorly illuminated photos (CABM), pp. 1599–1600.
LDTALDTA-2010-BastenV #ambiguity #detection #performance
Faster ambiguity detection by grammar filtering (BB, JJV), p. 5.
ASPLOSASPLOS-2010-HarrisTCU #architecture #multi #runtime
Dynamic filtering: multi-purpose architecture support for language runtime systems (TH, ST, AC, OSÜ), pp. 39–52.
HPCAHPCA-2010-JiangMZUIMNSB #adaptation #named
CHOP: Adaptive filter-based DRAM caching for CMP server platforms (XJ, NM, LZ, MU, RI, SM, DN, YS, RB), pp. 1–12.
OSDIOSDI-2010-WuCY #execution
Bypassing Races in Live Applications with Execution Filters (JW, HC, JY), pp. 135–149.
CASECASE-2009-KumarWKSS #analysis #fuzzy #predict #using #variability
A fuzzy filtering based system for maximal oxygen uptake prediction using heart rate variability analysis (MK, MW, SK, NS, RS), pp. 604–608.
CASECASE-2009-SaketiKNVK #automation #composition
Automated modular bacterial filtering system with embeddable microfluidic chips (PS, JMK, KN, LV, PJK), pp. 212–216.
DATEDATE-2009-AfratisGSMCPP #database #design #implementation
Design and implementation of a database filter for BLAST acceleration (PA, CG, ES, GGM, GC, IP, DNP), pp. 166–171.
SIGMODSIGMOD-2009-TerleckiBGZ #statistics
Filtered statistics (PT, HB, CAGL, PZ), pp. 897–904.
CIAACIAA-2009-Sastre-Martinez #network #parsing #performance #recursion #using
Efficient Parsing Using Filtered-Popping Recursive Transition Networks (JMSM), pp. 241–244.
CHICHI-2009-CramerESW #adaptation #interactive #trust
Awareness, training and trust in interaction with adaptive spam filters (HSMC, VE, MvS, BJW), pp. 909–912.
HCIHCI-NIMT-2009-FahnKW #realtime #recognition
Real-Time Face Tracking and Recognition Based on Particle Filtering and AdaBoosting Techniques (CSF, MJK, KYW), pp. 198–207.
ICEISICEIS-SAIC-2009-CiuffoI #case study #collaboration #information management #recommendation #using
Using Grids to Support Information Filtering Systems — A Case Study of Running Collaborative Filtering Recommendations on gLite (LNC, EI), pp. 12–18.
CIKMCIKM-2009-AlgarniLXL #effectiveness #feedback #information management #using
An effective model of using negative relevance feedback for information filtering (AA, YL, YX, RYKL), pp. 1605–1608.
CIKMCIKM-2009-AnastasakosHKR #approach #collaboration #graph #recommendation #using
A collaborative filtering approach to ad recommendation using the query-ad click graph (TA, DH, SK, HR), pp. 1927–1930.
CIKMCIKM-2009-LiuZY #analysis #collaboration #probability
Probabilistic latent preference analysis for collaborative filtering (NNL, MZ, QY), pp. 759–766.
CIKMCIKM-2009-MaYKL #collaboration #consistency #matrix #statistics
Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering (HM, HY, IK, MRL), pp. 767–776.
ECIRECIR-2009-MoshfeghiAPJ #collaboration #predict #rating #recommendation #semantics
Movie Recommender: Semantically Enriched Unified Relevance Model for Rating Prediction in Collaborative Filtering (YM, DA, BP, JMJ), pp. 54–65.
ECIRECIR-2009-NamNLL #difference #named
DiffPost: Filtering Non-relevant Content Based on Content Difference between Two Consecutive Blog Posts (SHN, SHN, YL, JHL), pp. 791–795.
ICMLICML-2009-DeisenrothHH #process
Analytic moment-based Gaussian process filtering (MPD, MFH, UDH), pp. 225–232.
ICMLICML-2009-LiYX #collaboration #generative #learning
Transfer learning for collaborative filtering via a rating-matrix generative model (BL, QY, XX), pp. 617–624.
KDDKDD-2009-Koren #collaboration
Collaborative filtering with temporal dynamics (YK), pp. 447–456.
KDDKDD-2009-PanS #collaboration #scalability
Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering (RP, MS), pp. 667–676.
KDIRKDIR-2009-GhemtioSDSM #approach #design
A KDD Approach for Designing Filtering Strategies to Improve Virtual Screening (LG, MST, MDD, MS, BM), pp. 146–151.
RecSysRecSys-2009-BaltrunasR #collaboration
Context-based splitting of item ratings in collaborative filtering (LB, FR), pp. 245–248.
RecSysRecSys-2009-Bitton #collaboration #online
A spatial model for collaborative filtering of comments in an online discussion forum (EB), pp. 393–396.
RecSysRecSys-2009-CamposFHR #collaboration #predict
Measuring predictive capability in collaborative filtering (LMdC, JMFL, JFH, MARM), pp. 313–316.
RecSysRecSys-2009-GarcinFJJ #collaboration #rating
Rating aggregation in collaborative filtering systems (FG, BF, RJ, NJ), pp. 349–352.
RecSysRecSys-2009-LuAD #approach #collaboration
A spatio-temporal approach to collaborative filtering (ZL, DA, ISD), pp. 13–20.
RecSysRecSys-2009-NanopoulosRI #collaboration #how #question
How does high dimensionality affect collaborative filtering? (AN, MR, MI), pp. 293–296.
RecSysRecSys-2009-PannielloTGPP #comparison #recommendation
Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems (UP, AT, MG, CP, AP), pp. 265–268.
RecSysRecSys-2009-ParraB #collaboration #empirical #social
Collaborative filtering for social tagging systems: an experiment with CiteULike (DP, PB), pp. 237–240.
RecSysRecSys-2009-RoyY #collaboration
Manipulation-resistant collaborative filtering systems (BVR, XY), pp. 165–172.
RecSysRecSys-2009-SchclarTRMA #collaboration #performance
Ensemble methods for improving the performance of neighborhood-based collaborative filtering (AS, AT, LR, AM, LA), pp. 261–264.
RecSysRecSys-2009-ShiLH #collaboration #similarity
Exploiting user similarity based on rated-item pools for improved user-based collaborative filtering (YS, ML, AH), pp. 125–132.
RecSysRecSys-2009-ShokriPTH #collaboration #distributed #privacy
Preserving privacy in collaborative filtering through distributed aggregation of offline profiles (RS, PP, GT, JPH), pp. 157–164.
RecSysRecSys-2009-ZhenLY #collaboration #named
TagiCoFi: tag informed collaborative filtering (YZ, WJL, DYY), pp. 69–76.
SEKESEKE-2009-MukhopadhyayPRPM #benchmark #comparison #information management #metric #multi #set
Comparison of Some Single-agent and Multi-agent Information Filtering Systems on a Benchmark Text Data Set (SM, SP, RRR, MJP, JM), pp. 185–188.
SIGIRSIGIR-2009-AmatriainLPKO #approach #collaboration #web
The wisdom of the few: a collaborative filtering approach based on expert opinions from the web (XA, NL, JMP, HK, NO), pp. 532–539.
SIGIRSIGIR-2009-AzzopardiVM #energy #performance
Developing energy efficient filtering systems (LA, WV, MM), pp. 664–665.
SIGIRSIGIR-2009-CormackC #email #on the
On the relative age of spam and ham training samples for email filtering (GVC, JMMdC), pp. 744–745.
SIGIRSIGIR-2009-CormackK #evaluation
Spam filter evaluation with imprecise ground truth (GVC, AK), pp. 604–611.
SIGIRSIGIR-2009-LathiaHC #adaptation #collaboration
Temporal collaborative filtering with adaptive neighbourhoods (NL, SH, LC), pp. 796–797.
SIGIRSIGIR-2009-RaghavanH #modelling #quality
A relevance model based filter for improving ad quality (HR, DH), pp. 762–763.
SIGIRSIGIR-2009-YuZLG #collaboration #matrix #parametricity #performance #scalability
Fast nonparametric matrix factorization for large-scale collaborative filtering (KY, SZ, JDL, YG), pp. 211–218.
PADLPADL-2009-MaldeO #analysis #haskell #scalability #sequence #using
Using Bloom Filters for Large Scale Gene Sequence Analysis in Haskell (KM, BO), pp. 183–194.
SACSAC-2009-HohfeldGBBSS #collaboration #multi #self
Self-organizing collaborative filtering in global-scale massive multi-user virtual environments (AH, PG, AB, JB, HS, IS), pp. 1719–1723.
SACSAC-2009-OlowoyeyeTF #segmentation #using
Medical volume segmentation using bank of Gabor filters (AO, MT, SF), pp. 826–829.
SACSAC-2009-PengC #collaboration #multi #named #recommendation #trust
iTrustU: a blog recommender system based on multi-faceted trust and collaborative filtering (TCP, ScTC), pp. 1278–1285.
SACSAC-2009-SchmidtSS #approach #personalisation #social #using #web
Socially filtered web search: an approach using social bookmarking tags to personalize web search (KUS, TS, LS), pp. 670–674.
SACSAC-2009-YounM09a #email #embedded #image
Improved spam filtering by extraction of information from text embedded image e-mail (SY, DM), pp. 1754–1755.
ASPLOSASPLOS-2009-RamaniGD #architecture #named
StreamRay: a stream filtering architecture for coherent ray tracing (KR, CPG, AD), pp. 325–336.
CASECASE-2008-TianL
Particle filter positioning and tracking based on dynamic model (ZT, LL), pp. 756–759.
DATEDATE-2008-MatteisDB
Advanced Analog Filters for Telecommunications (MDM, SD, AB), pp. 1316–1321.
PODSPODS-2008-LiuPRY #algorithm #problem
A generic flow algorithm for shared filter ordering problems (ZL, SP, AR, HY), pp. 79–88.
SIGMODSIGMOD-2008-ChakrabartiCGX #approximate #performance
An efficient filter for approximate membership checking (KC, SC, VG, DX), pp. 805–818.
SIGMODSIGMOD-2008-LiuPRY #algorithm #data type #evaluation
Near-optimal algorithms for shared filter evaluation in data stream systems (ZL, SP, AR, HY), pp. 133–146.
VLDBVLDB-2008-SilvastiSS #automaton
XML-document-filtering automaton (PS, SS, ESS), pp. 1666–1671.
ICSMEICSM-2008-ZhangBJAL #analysis #generative #visual notation
Query-based filtering and graphical view generation for clone analysis (YZ, HAB, SJ, DA, ML), pp. 376–385.
MSRMSR-2008-HataMK #precise #using
An extension of fault-prone filtering using precise training and a dynamic threshold (HH, OM, TK), pp. 89–98.
CAiSECAiSE-2008-GuoHLD #adaptation #dependence #maintenance #named
KAF: Kalman Filter Based Adaptive Maintenance for Dependability of Composite Services (HG, JH, YL, TD), pp. 328–342.
CIKMCIKM-2008-HoweF #collaboration #parametricity
Re-considering neighborhood-based collaborative filtering parameters in the context of new data (AEH, RDF), pp. 1481–1482.
CIKMCIKM-2008-LiZBXL #information management #mining
A two-stage text mining model for information filtering (YL, XZ, PB, YX, RYKL), pp. 1023–1032.
CIKMCIKM-2008-LuoY #maintenance #online #performance
Content-based filtering for efficient online materialized view maintenance (GL, PSY), pp. 163–172.
CIKMCIKM-2008-RosenfeldFU #classification #sequence #using #web
Using sequence classification for filtering web pages (BR, RF, LHU), pp. 1355–1356.
CIKMCIKM-2008-VatturiGDMB #personalisation #recommendation
Tag-based filtering for personalized bookmark recommendations (PKV, WG, CD, MJM, BB), pp. 1395–1396.
CIKMCIKM-2008-YinPM #named #summary
PBFilter: indexing flash-resident data through partitioned summaries (SY, PP, XM), pp. 1333–1334.
ICPRICPR-2008-Baradarani #segmentation #using
Moving object segmentation using the 9/7-10/8 dual-tree complex filter bank (AB), pp. 1–4.
ICPRICPR-2008-ChaeCY #detection #performance
Color filtering-based efficient face detection (YNC, JC, HSY), pp. 1–4.
ICPRICPR-2008-ChenTZ #classification #novel
Spam filtering with several novel bayesian classifiers (CC, YT, CZ), pp. 1–4.
ICPRICPR-2008-DarbyLC #behaviour
Behaviour based particle filtering for human articulated motion tracking (JD, BL, NPC), pp. 1–4.
ICPRICPR-2008-DeselaersPN #classification #image #modelling
Bag-of-visual-words models for adult image classification and filtering (TD, LP, HN), pp. 1–4.
ICPRICPR-2008-GuehamBC #automation #classification #correlation #forensics #using
Automatic classification of partial shoeprints using Advanced Correlation Filters for use in forensic science (MG, AB, DC), pp. 1–4.
ICPRICPR-2008-HanYJ #evaluation #online #using
Online feature evaluation for object tracking using Kalman Filter (ZH, QY, JJ), pp. 1–4.
ICPRICPR-2008-HuangLZ #detection
A method of small object detection and tracking based on particle filters (YH, JL, CZ), pp. 1–4.
ICPRICPR-2008-KangKNN #image #multi #recognition #segmentation #using
Multiband image segmentation and object recognition using texture filter banks (YK, KK, TN, YN), pp. 1–4.
ICPRICPR-2008-KleinLM #using
Preceding car tracking using belief functions and a particle filter (JK, CL, PM), pp. 1–4.
ICPRICPR-2008-LeeWCYL #approach #video
Extended Kalman filtering approach to stereo video stabilization (KKL, KhW, MMYC, YKY, MKL), pp. 1–4.
ICPRICPR-2008-PalaioB #adaptation #multi #using
Multi-object tracking using an adaptive transition model particle filter with region covariance data association (HP, JB), pp. 1–4.
ICPRICPR-2008-SubrahmanyamRAR #reduction
Edge-preserving unscented Kalman filter for speckle reduction (GRKSS, ANR, RA, GR), pp. 1–4.
ICPRICPR-2008-TranTJ #anti #linear #network #probability
An adjustable combination of linear regression and modified probabilistic neural network for anti-spam filtering (TPT, PT, TJ), pp. 1–4.
ICPRICPR-2008-UlkerGK #multi
A multiple model structure for tracking by variable rate particle filters (, BG, SK), pp. 1–4.
ICPRICPR-2008-WangZZ #multi
Multivariate Laplace Filter: A heavy-tailed model for target tracking (DW, CZ, XZ), pp. 1–4.
ICPRICPR-2008-YanZ #correlation #multimodal #using
Multimodal biometrics fusion using Correlation Filter Bank (YY, YJZ), pp. 1–4.
ICPRICPR-2008-ZhangHZWLW #robust #visual notation
SVD based Kalman particle filter for robust visual tracking (XZ, WH, ZZ, YW, XL, QW), pp. 1–4.
ICPRICPR-2008-ZuriarrainLAD #multi
An MCMC-based particle filter for multiple person tracking (IZ, FL, NAA, MD), pp. 1–4.
KDDKDD-2008-ChangYM
Partitioned logistic regression for spam filtering (MWC, WtY, CM), pp. 97–105.
KDDKDD-2008-ChenZC #collaboration #community #personalisation #recommendation
Combinational collaborative filtering for personalized community recommendation (WC, DZ, EYC), pp. 115–123.
KDDKDD-2008-Koren #collaboration #multi
Factorization meets the neighborhood: a multifaceted collaborative filtering model (YK), pp. 426–434.
RecSysRecSys-2008-DingZYZFB #collaboration #fault #predict #statistics
Boosting collaborative filtering based on statistical prediction errors (SD, SZ, QY, XZ, RF, LDB), pp. 3–10.
RecSysRecSys-2008-Koren #collaboration #tutorial
Tutorial on recent progress in collaborative filtering (YK), pp. 333–334.
RecSysRecSys-2008-MaidelSST #evaluation #personalisation
Evaluation of an ontology-content based filtering method for a personalized newspaper (VM, PS, BS, MTM), pp. 91–98.
RecSysRecSys-2008-SchifanellaPGR #ad hoc #collaboration #mobile #named #network #self
MobHinter: epidemic collaborative filtering and self-organization in mobile ad-hoc networks (RS, AP, CG, GR), pp. 27–34.
RecSysRecSys-2008-WeimerKS #adaptation #collaboration
Adaptive collaborative filtering (MW, AK, AJS), pp. 275–282.
RecSysRecSys-2008-YildirimK #collaboration #problem #random
A random walk method for alleviating the sparsity problem in collaborative filtering (HY, MSK), pp. 131–138.
SEKESEKE-2008-DrumondGS #analysis #information management #semantics #similarity #web
A Similarity Analysis Model for Semantic Web Information Filtering Applications (LD, RG, FS), pp. 638–642.
SIGIRSIGIR-2008-HarpaleY #collaboration #learning #personalisation
Personalized active learning for collaborative filtering (AH, YY), pp. 91–98.
SIGIRSIGIR-2008-LiuY #approach #collaboration #named
EigenRank: a ranking-oriented approach to collaborative filtering (NNL, QY), pp. 83–90.
SIGIRSIGIR-2008-MehtaN #collaboration
Attack resistant collaborative filtering (BM, WN), pp. 75–82.
SIGIRSIGIR-2008-MojdehC #question
Semi-supervised spam filtering: does it work? (MM, GVC), pp. 745–746.
SIGIRSIGIR-2008-Zhang #collaboration #relational
Relational distance-based collaborative filtering (WZ), pp. 877–878.
SIGIRSIGIR-2008-ZimmerTW #approximate #correlation #information management #keyword
Exploiting correlated keywords to improve approximate information filtering (CZ, CT, GW), pp. 323–330.
SACSAC-2008-AbbesBR #detection
An inference system for detecting firewall filtering rules anomalies (TA, AB, MR), pp. 2122–2128.
SACSAC-2008-GiorgiB #performance
Filtering drowsy instruction cache to achieve better efficiency (RG, PB), pp. 1554–1555.
SACSAC-2008-MerhavF #on the #peer-to-peer
On filtering irrelevant results in peer-to-peer search (YM, OF), pp. 1171–1172.
SACSAC-2008-SuKZG #classification #collaboration #machine learning #using
Imputation-boosted collaborative filtering using machine learning classifiers (XS, TMK, XZ, RG), pp. 949–950.
SACSAC-2008-Tso-SutterMS #algorithm #collaboration #recommendation
Tag-aware recommender systems by fusion of collaborative filtering algorithms (KHLTS, LBM, LST), pp. 1995–1999.
HPCAHPCA-2008-SalapuraBG #design #implementation
Design and implementation of the blue gene/P snoop filter (VS, MAB, AG), pp. 5–14.
ASEASE-2007-LiuMPR #execution #feature model #information retrieval
Feature location via information retrieval based filtering of a single scenario execution trace (DL, AM, DP, VR), pp. 234–243.
CASECASE-2007-KumarSKTS #fuzzy
Fuzzy Filtering for an Intelligent Interpretation of Medical Data (MK, NS, DK, KT, RS), pp. 225–230.
CASECASE-2007-RajruangrabinP
Enhancement of Manipulator Interactivity through Compliant Skin and Extended Kalman Filtering (JR, DOP), pp. 1111–1116.
CASECASE-2007-VidalA #visual notation
Window-Matching Techniques with Kalman Filtering for an Improved Object Visual Tracking (FdBV, VHCA), pp. 829–834.
DACDAC-2007-AksoyCFM #metric #optimisation #using
Optimization of Area in Digital FIR Filters using Gate-Level Metrics (LA, EACdC, PFF, JCM), pp. 420–423.
DATEDATE-2007-ArbeloKLLBSM #architecture #configuration management #kernel #video
Mapping control-intensive video kernels onto a coarse-grain reconfigurable architecture: the H.264/AVC deblocking filter (CA, AK, SL, JFL, MB, RS, JYM), pp. 177–182.
DATEDATE-2007-LataireVP #design #interactive #multi #optimisation #using
Interactive presentation: Optimizing analog filter designs for minimum nonlinear distortions using multisine excitations (JL, GV, RP), pp. 267–272.
DATEDATE-2007-MatarreseMCDB #algorithm #performance #validation
Experimental validation of a tuning algorithm for high-speed filters (GM, CM, FC, SD, AB), pp. 421–426.
DocEngDocEng-2007-ThetNK #web
Filtering product reviews from web search results (TTT, JCN, CSGK), pp. 196–198.
ICDARICDAR-2007-ZhangL #recognition
A New Vectorial Signature for Quick Symbol Indexing, Filtering and Recognition (WZ, WL), pp. 536–540.
PODSPODS-2007-MunagalaSW #optimisation #query
Optimization of continuous queries with shared expensive filters (KM, US, JW), pp. 215–224.
MSRMSR-2007-MizunoINK #approach
Spam Filter Based Approach for Finding Fault-Prone Software Modules (OM, SI, SN, TK), p. 4.
CHICHI-2007-LampeJR
Follow the reader: filtering comments on slashdot (CL, EWJ, PR), pp. 1253–1262.
HCIDHM-2007-XuWZZ #algorithm #complexity #predict
An Epileptic Seizure Prediction Algorithm from Scalp EEG Based on Morphological Filter and Kolmogorov Complexity (GX, JW, QZ, JZ), pp. 736–746.
HCIHCI-MIE-2007-KimKEKASK #adaptation #detection #realtime #using
Real-Time Face Tracking System Using Adaptive Face Detector and Kalman Filter (JHK, BDK, JSE, CK, SHA, BJS, SKK), pp. 669–678.
HCIHCI-MIE-2007-KomogortsevK #design #interface
Kalman Filtering in the Design of Eye-Gaze-Guided Computer Interfaces (OK, JIK), pp. 679–689.
HCIHCI-MIE-2007-OkadaI #collaboration #evaluation #recommendation
Evaluation of P2P Information Recommendation Based on Collaborative Filtering (HO, MI), pp. 449–458.
HCIHIMI-MTT-2007-KimK #ad hoc #mobile #network #performance
Distance-Based Bloom Filter for an Efficient Search in Mobile Ad Hoc Networks (BK, KK), pp. 471–479.
HCIHIMI-MTT-2007-OkaMS #information management
An Information Filtering Method Based on User’s Moods, Situations, and Preferences (MO, HM, MS), pp. 715–719.
ICEISICEIS-AIDSS-2007-PessiotTUAG #collaboration #learning #rank
Learning to Rank for Collaborative Filtering (JFP, TVT, NU, MRA, PG), pp. 145–151.
CIKMCIKM-2007-CormackHS
Spam filtering for short messages (GVC, JMGH, EPS), pp. 313–320.
ECIRECIR-2007-KimY #collaboration #effectiveness
An Effective Threshold-Based Neighbor Selection in Collaborative Filtering (THK, SBY), pp. 712–715.
ECIRECIR-2007-Nanopoulos #collaboration #correlation #transitive
Collaborative Filtering Based on Transitive Correlations Between Items (AN), pp. 368–380.
ICMLICML-2007-SalakhutdinovMH #collaboration #strict
Restricted Boltzmann machines for collaborative filtering (RS, AM, GEH), pp. 791–798.
KDDKDD-2007-ParkP #collaboration #ranking
Applying collaborative filtering techniques to movie search for better ranking and browsing (STP, DMP), pp. 550–559.
MLDMMLDM-2007-CandillierMB #collaboration #state of the art
Comparing State-of-the-Art Collaborative Filtering Systems (LC, FM, MB), pp. 548–562.
MLDMMLDM-2007-MendezCGRD #performance
Analyzing the Performance of Spam Filtering Methods When Dimensionality of Input Vector Changes (JRM, BC, DGP, FFR, FD), pp. 364–378.
MLDMMLDM-2007-YuZWZ #3d #image #retrieval
A Filter-Refinement Scheme for 3D Model Retrieval Based on Sorted Extended Gaussian Image Histogram (ZY, SZ, HSW, JZ), pp. 643–652.
RecSysRecSys-2007-BerkovskyEKR #collaboration #distributed #privacy
Enhancing privacy and preserving accuracy of a distributed collaborative filtering (SB, YE, TK, FR), pp. 9–16.
RecSysRecSys-2007-BerkovskyKR #collaboration #distributed
Distributed collaborative filtering with domain specialization (SB, TK, FR), pp. 33–40.
RecSysRecSys-2007-LathiaHC #collaboration #distributed #metric #using
Private distributed collaborative filtering using estimated concordance measures (NL, SH, LC), pp. 1–8.
RecSysRecSys-2007-MehtaHN #collaboration #robust
Robust collaborative filtering (BM, TH, WN), pp. 49–56.
RecSysRecSys-2007-ZhangP #algorithm #collaboration #predict #recommendation #recursion
A recursive prediction algorithm for collaborative filtering recommender systems (JZ, PP), pp. 57–64.
SIGIRSIGIR-2007-CormackHS #mobile #re-engineering
Feature engineering for mobile (SMS) spam filtering (GVC, JMGH, EPS), pp. 871–872.
SIGIRSIGIR-2007-HagedornCA #information management
World knowledge in broad-coverage information filtering (BAH, MC, JA), pp. 801–802.
SIGIRSIGIR-2007-MaKL #collaboration #effectiveness #predict
Effective missing data prediction for collaborative filtering (HM, IK, MRL), pp. 39–46.
SIGIRSIGIR-2007-PasiBV #multi
A multi-criteria content-based filtering system (GP, GB, RV), pp. 775–776.
SIGIRSIGIR-2007-SculleyW #online
Relaxed online SVMs for spam filtering (DS, GW), pp. 415–422.
SACSAC-2007-KassabL #analysis #effectiveness #personalisation #towards
Towards a synthetic analysis of user’s information need for more effective personalized filtering services (RK, JCL), pp. 852–859.
SACSAC-2007-SilvaL #algorithm #documentation #performance
A fast algorithm to binarize and filter documents with back-to-front interference (JMMdS, RDL), pp. 639–640.
SACSAC-2007-YiKOJKD #detection #hardware #performance
Memory-efficient content filtering hardware for high-speed intrusion detection systems (SY, BKK, JO, JJ, GK, CRD), pp. 264–269.
SACSAC-2007-ZhangMC #fuzzy #image #retrieval #set
Directed filter for dominant direction fuzzy set in content-based image retrieval (GZ, ZMM, ZC), pp. 76–77.
ESEC-FSEESEC-FSE-2007-MizunoK #detection #empirical #fault
Training on errors experiment to detect fault-prone software modules by spam filter (OM, TK), pp. 405–414.
HPCAHPCA-2007-QureshiSP #capacity #word
Line Distillation: Increasing Cache Capacity by Filtering Unused Words in Cache Lines (MKQ, MAS, YNP), pp. 250–259.
CASECASE-2006-SchiffG #automation #network #using
Automated Intruder Tracking using Particle Filtering and a Network of Binary Motion Sensors (JS, KG), pp. 580–587.
CASECASE-2006-XuWZZ #algorithm #automation #detection #using
An Automatic EEG Spike Detection Algorithm Using Morphological Filter (GX, JW, QZ, JZ), pp. 170–175.
DACDAC-2006-AksoyCFM #constraints #integer #linear #optimisation #programming #satisfiability #synthesis #using
Optimization of area under a delay constraint in digital filter synthesis using SAT-based integer linear programming (LA, EACdC, PFF, JM), pp. 669–674.
DATEDATE-2006-GianniniNBCCDB #design #power management #synthesis
A synthesis tool for power-efficient base-band filter design (VG, PN, FDB, JC, BC, SD, AB), pp. 162–163.
DATEDATE-2006-PanditKMP #hardware #higher-order #synthesis
High level synthesis of higher order continuous time state variable filters with minimum sensitivity and hardware count (SP, SK, CAM, AP), pp. 1203–1204.
DATEDATE-DF-2006-FanucciCSKWSALM #design #image #linear #synthesis
ASIP design and synthesis for non linear filtering in image processing (LF, MC, SS, DK, EMW, OS, GA, RL, HM), pp. 233–238.
DocEngDocEng-2006-HidalgoBSG
Content based SMS spam filtering (JMGH, GCB, EPS, FCG), pp. 107–114.
DocEngDocEng-2006-QeliF #aspect-oriented #documentation #programming #using #xml #xpath
Filtering XML documents using XPath expressions and aspect-oriented programming (EQ, BF), pp. 85–87.
PODSPODS-2006-CondonDHW #algorithm #pipes and filters #problem
Flow algorithms for two pipelined filter ordering problems (AC, AD, LH, NW), pp. 193–202.
SIGMODSIGMOD-2006-DengR #approximate #detection #streaming #using
Approximately detecting duplicates for streaming data using stable bloom filters (FD, DR), pp. 25–36.
VLDBVLDB-2006-CandanHCTA #adaptation #clustering #named #xml
AFilter: Adaptable XML Filtering with Prefix-Caching and Suffix-Clustering (KSC, WPH, SC, JT, DA), pp. 559–570.
SEFMSEFM-2006-BanachD
Filtering Retrenchments into Refinements (RB, JD), pp. 60–69.
CHICHI-2006-CutrellRDS #flexibility #performance
Fast, flexible filtering with phlat (EC, DCR, STD, RS), pp. 261–270.
CSCWCSCW-2006-SenGMMBWM #collaboration #named
FeedMe: a collaborative alert filtering system (SS, WG, MJM, MM, BB, EW, DRM), pp. 89–98.
ICEISICEIS-AIDSS-2006-BerkovskyEM #collaboration
Collaborative Filtering Based on Content Addressing (SB, YE, LMM), pp. 91–98.
ICEISICEIS-DISI-2006-GroppeG #query #satisfiability #xpath
Filtering Unsatisfiable XPATH Queries (JG, SG), pp. 157–162.
ICEISICEIS-HCI-2006-LiSB #correlation #hybrid #recognition #sketching #synthesis #using
Face Recognition from Sketches Using Advanced Correlation Filters Using Hybrid Eigenanalysis for Face Synthesis (YhL, MS, VB), pp. 11–18.
ICEISICEIS-J-2006-BerkovskyEM06a #collaboration #nearest neighbour #retrieval
Retrieval of Collaborative Filtering Nearest Neighbors in a Content-Addressable Space (SB, YE, LMM), pp. 159–178.
CIKMCIKM-2006-NasraouiCRG #collaboration
Collaborative filtering in dynamic usage environments (ON, JC, CR, FAG), pp. 794–795.
CIKMCIKM-2006-ShiN #adaptation #corpus #information retrieval #parallel
Filtering or adapting: two strategies to exploit noisy parallel corpora for cross-language information retrieval (LS, JYN), pp. 814–815.
ECIRECIR-2006-FreschiSB #email #obfuscation #string
Filtering Obfuscated Email Spam by means of Phonetic String Matching (VF, AS, AB), pp. 505–509.
ECIRECIR-2006-WangVR #collaboration
A User-Item Relevance Model for Log-Based Collaborative Filtering (JW, APdV, MJTR), pp. 37–48.
ICMLICML-2006-SongE #human-computer #interface #learning
Classifying EEG for brain-computer interfaces: learning optimal filters for dynamical system features (LS, JE), pp. 857–864.
ICPRICPR-v1-2006-Bernier #3d #realtime #using
Real-Time 3D Articulated Pose Tracking using Particle Filters Interacting through Belief Propagation (OB), pp. 90–93.
ICPRICPR-v1-2006-Czyz #detection #video
Object Detection in Video via Particle Filters (JC), pp. 820–823.
ICPRICPR-v1-2006-Katayama #using
Camera Calibration with a Transparent Calibration Tool Using Color Filters: Application to Stereo Camera Calibration for a Distant Object (YK), pp. 607–612.
ICPRICPR-v1-2006-LiuJK #retrieval
Fingerprint Retrieval by Complex Filter Responses (ML, XJ, ACK), p. 1042.
ICPRICPR-v1-2006-Marin-JimenezB #categorisation #empirical #multi
Empirical Study of Multi-scale Filter Banks for Object Categorization (MJMJ, NPdlB), pp. 578–581.
ICPRICPR-v1-2006-PupilliC #3d #modelling #realtime #using
Real-Time Camera Tracking Using Known 3D Models and a Particle Filter (MP, AC), pp. 199–203.
ICPRICPR-v1-2006-TongSS #estimation
Continuous-Discrete Filtering for Cardiac Kinematics Estimation under Spatio-Temporal Biomechanical Constrains (ST, AJS, PS), pp. 167–170.
ICPRICPR-v1-2006-WashizawaY #kernel
Non-linear Wiener filter in reproducing kernel Hilbert space (YW, YY), pp. 967–970.
ICPRICPR-v2-2006-HeW #composition #empirical #image
Spatial-variant Image Filtering Based on Bidimensional Empirical Mode Decomposition (LH, HW), pp. 1196–1199.
ICPRICPR-v2-2006-Hotta #adaptation #classification
Adaptive Weighting of Local Classifiers by Particle Filter (KH), pp. 610–613.
ICPRICPR-v2-2006-Mancas-ThillouG #using
Character Segmentation-by-Recognition Using Log-Gabor Filters (CMT, BG), pp. 901–904.
ICPRICPR-v2-2006-OsawaWWY #3d #using
Human Tracking by Particle Filtering Using Full 3D Model of Both Target and Environment (TO, XW, KW, TY), pp. 25–28.
ICPRICPR-v2-2006-TsaiTCY #analysis #component #design #detection #fault #image #independence
Independent component analysis based filter design for defect detection in low-contrast textured images (DMT, YHT, SMC, CHY), pp. 231–234.
ICPRICPR-v2-2006-ZhangPB #classification #learning #representation
Learning Optimal Filter Representation for Texture Classification (PZ, JP, BPB), pp. 1138–1141.
ICPRICPR-v3-2006-ChairunnandaGC #distance #edit distance #sequence #using
Enhancing Edit Distance on Real Sequences Filters using Histogram Distance on Fixed Reference Ordering (PC, VG, LC), pp. 582–585.
ICPRICPR-v3-2006-Eidenberger #identification #image #robust
Kalman Filtering for Robust Identification of Face Images with Varying Expressions and Lighting Conditions (HE), pp. 1073–1076.
ICPRICPR-v3-2006-KohmuraW #algorithm #search-based #using
Determining Optimal Filters for Binarization of Degraded Characters in Color Using Genetic Algorithms (HK, TW), pp. 661–664.
ICPRICPR-v3-2006-LeoputraTL #distributed #using
Non-overlapping Distributed Tracking using Particle Filter (WSL, TT, FLL), pp. 181–185.
ICPRICPR-v3-2006-NishiguchiIS
Laplacian Based Non-Linear Diffusion Filtering (HN, AI, TS), pp. 838–841.
ICPRICPR-v3-2006-Ortegon-AguilarB
Omnidirectional Vision Tracking with Particle Filter (JOA, EBC), pp. 1115–1118.
ICPRICPR-v3-2006-PeiLX #detection #information retrieval
A Method For IR Point Target Detection Based on Spatial-temporal Bilateral Filter (JP, ZL, WX), pp. 846–849.
ICPRICPR-v3-2006-ShanZSCG #image
A Riemannian Weighted Filter for Edge-sensitive Image Smoothing (SS, WZ, YS, XC, WG), pp. 590–593.
ICPRICPR-v3-2006-TangkuampienS #analysis #component #kernel
Human Motion De-noising via Greedy Kernel Principal Component Analysis Filtering (TT, DS), pp. 457–460.
ICPRICPR-v3-2006-ZhangH #image
A Riemannian Weighted Filter for Edge-sensitive Image Smoothing (FZ, ERH), pp. 594–598.
ICPRICPR-v4-2006-HafezJ #estimation #using #visual notation
Target Model Estimation using Particle Filters for Visual Servoing (AHAH, CVJ), pp. 651–654.
ICPRICPR-v4-2006-HeYTWX #image #matrix #novel #retrieval #symmetry #using
Texture Image Retrieval Using Novel Non-separable Filter Banks Based on Centrally Symmetric Matrices (ZH, XY, YYT, PSPW, YX), pp. 161–164.
ICPRICPR-v4-2006-KimPL #3d #using
Tracking 3D Human Body using Particle Filter in Moving Monocular Camera (SK, CBP, SWL), pp. 805–808.
ICPRICPR-v4-2006-LeiDW #adaptation #embedded
AdaBoost Tracker Embedded in Adaptive Particle Filtering (YL, XD, SW), pp. 939–943.
ICPRICPR-v4-2006-MacenkoCM #detection #segmentation #using
Lesion Detection Using Morphological Watershed Segmentation and Modelbased Inverse Filtering (MM, MC, LM), pp. 679–682.
ICPRICPR-v4-2006-XieLYD #identification #robust
Improved Two-stage Wiener Filter for Robust Speaker Identification (YX, ML, ZY, BD), pp. 310–313.
ICPRICPR-v4-2006-YaoLYZL06a #algorithm #recognition #using
Iris Recognition Algorithm Using Modified Log-Gabor Filters (PY, JL, XY, ZZ, BL), pp. 461–464.
SEKESEKE-2006-GokhaleY #analysis #architecture #pipes and filters #reliability
Reliability Analysis of Pipe and Filter Architecture Style (SSG, SMY), pp. 625–630.
SIGIRSIGIR-2006-LynamCC #online
On-line spam filter fusion (TRL, GVC, DRC), pp. 123–130.
SIGIRSIGIR-2006-WangVR #collaboration #similarity
Unifying user-based and item-based collaborative filtering approaches by similarity fusion (JW, APdV, MJTR), pp. 501–508.
SACSAC-2006-AimeurBFO #privacy
Privacy-preserving demographic filtering (EA, GB, JMF, FSMO), pp. 872–878.
SACSAC-2006-BelsisFGS #classification
SF-HME system: a hierarchical mixtures-of-experts classification system for spam filtering (PB, KF, SG, CS), pp. 354–360.
SACSAC-2006-ForteSP #classification #internet
A content classification and filtering server for the internet (MF, WLdS, AFdP), pp. 1166–1171.
SACSAC-2006-GuoW #data mining #mining #on the #privacy
On the use of spectral filtering for privacy preserving data mining (SG, XW), pp. 622–626.
SACSAC-2006-HijikataIN #music
Content-based music filtering system with editable user profile (YH, KI, SN), pp. 1050–1057.
SACSAC-2006-KassabL #approach #information management
An innovative approach to intelligent information filtering (RK, JCL), pp. 1089–1093.
SACSAC-2006-SilvaLR #documentation
Binarizing and filtering historical documents with back-to-front interference (JMMdS, RDL, VCdR), pp. 853–858.
SACSAC-2006-WangPLR #collaboration #distributed #peer-to-peer
Distributed collaborative filtering for peer-to-peer file sharing systems (JW, JAP, RLL, MJTR), pp. 1026–1030.
SACSAC-2006-WengMG #collaboration #metric #trust
Improving collaborative filtering with trust-based metrics (JW, CM, AG), pp. 1860–1864.
OSDIOSDI-2006-ReisDWDE #html #named
BrowserShield: Vulnerability-Driven Filtering of Dynamic HTML (CR, JD, HJW, OD, SE), pp. 61–74.
DACDAC-2005-RenG #framework #optimisation #synthesis
A unified optimization framework for equalization filter synthesis (JR, MRG), pp. 638–643.
ICDARICDAR-2005-OjimaKW #algorithm #search-based #using
Determining Optimal Filters for Binarization of Degraded Grayscale Characters Using Genetic Algorithms (YO, SK, TW), pp. 555–559.
ICDARICDAR-2005-PanSB #identification #using
Script Identification Using Steerable Gabor Filters (WP, CYS, TDB), pp. 883–887.
SIGMODSIGMOD-2005-FischerKD #adaptation #agile #named
AGILE: Adaptive Indexing for Context-Aware Information Filters (JPD, PMF, DK), pp. 215–226.
VLDBVLDB-2005-AbadiML #detection #named #network #performance #robust
REED: Robust, Efficient Filtering and Event Detection in Sensor Networks (DJA, SM, WL), pp. 769–780.
VLDBVLDB-2005-ChengKPKT #adaptation #query
Adaptive Stream Filters for Entity-based Queries with Non-Value Tolerance (RC, BK, SP, AK, YCT), pp. 37–48.
VLDBVLDB-2005-KwonRML #documentation #named #scalability #xml
FiST: Scalable XML Document Filtering by Sequencing Twig Patterns (JK, PR, BM, SL), pp. 217–228.
ESOPESOP-2005-LeuschelV #deduction #slicing
Forward Slicing by Conjunctive Partial Deduction and Argument Filtering (ML, GV), pp. 61–76.
MSRMSR-2005-OhiraOOM #collaboration #network #social #using
Accelerating cross-project knowledge collaboration using collaborative filtering and social networks (MO, NO, TO, KiM), pp. 71–75.
SOFTVISSOFTVIS-2005-DeLineKCR #comprehension #source code #towards
Towards understanding programs through wear-based filtering (RD, AK, MC, GGR), pp. 183–192.
CIKMCIKM-2005-DingL #collaboration
Time weight collaborative filtering (YD, XL), pp. 485–492.
CIKMCIKM-2005-WengMGL #collaboration #trust
Trust-based collaborative filtering (JW, CM, AG, DL), pp. 299–300.
ECIRECIR-2005-ChaarFF #multi #summary
Filtering for Profile-Biased Multi-document Summarization (SLC, OF, CF), pp. 127–141.
KDDKDD-2005-KawamaeT #collaboration #information retrieval #semantics
Information retrieval based on collaborative filtering with latent interest semantic map (NK, KT), pp. 618–623.
SEKESEKE-2005-ChanCT #adaptation #random testing #reduction #testing
Adaptive Random Testing with Filtering: An Overhead Reduction Technique (KPC, TYC, DT), pp. 292–299.
SEKESEKE-2005-TsunodaKOMM #collaboration #java #named #recommendation
Javawock: A Java Class Recommender System Based on Collaborative Filtering (MT, TK, NO, AM, KiM), pp. 491–497.
SIGIRSIGIR-2005-PuolamakiSSSK #collaboration #eye tracking #information retrieval
Combining eye movements and collaborative filtering for proactive information retrieval (KP, JS, ES, JS, SK), pp. 146–153.
SIGIRSIGIR-2005-WangRLP #collaboration #distributed #self
Self-organizing distributed collaborative filtering (JW, MJTR, RLL, JAP), pp. 659–660.
SIGIRSIGIR-2005-XueLYXZYC #clustering #collaboration #scalability #using
Scalable collaborative filtering using cluster-based smoothing (GRX, CL, QY, WX, HJZ, YY, ZC), pp. 114–121.
SIGIRSIGIR-2005-YangYZK #adaptation #benchmark #evaluation #robust
Robustness of adaptive filtering methods in a cross-benchmark evaluation (YY, SY, JZ, BK), pp. 98–105.
SACSAC-2005-AlbayrakWVLM #information management #personalisation
Agent technology for personalized information filtering: the PIA-system (SA, SW, NV, AL, DM), pp. 54–59.
SACSAC-2005-CosterS #collaboration #incremental #mobile
Incremental collaborative filtering for mobile devices (RC, MS), pp. 1102–1106.
SACSAC-2005-ElkhalifaAC #detection #named #specification
InfoFilter: a system for expressive pattern specification and detection over text streams (LE, RA, SC), pp. 1084–1088.
SACSAC-2005-Kirsch-PinheiroVGM #adaptation #collaboration #web
Context-aware filtering for collaborative web systems: adapting the awareness information to the user’s context (MKP, MVO, JG, HM), pp. 1668–1673.
SACSAC-2005-PolatD #collaboration #privacy
SVD-based collaborative filtering with privacy (HP, WD), pp. 791–795.
ICSEICSE-2005-LeonMP #data flow #empirical #evaluation #testing
An empirical evaluation of test case filtering techniques based on exercising complex information flows (DL, WM, AP), pp. 412–421.
ATEMATEM-2004-JinC05 #integration #ontology #reverse engineering #tool support
Factbase Filtering Issues in an Ontology-Based Reverse Engineering Tool Integration System (DJ, JRC), pp. 65–75.
CAVCAV-2005-Monniaux #analysis #composition #float #linear
Compositional Analysis of Floating-Point Linear Numerical Filters (DM), pp. 199–212.
TLCATLCA-2005-Bertot #induction
Filters on CoInductive Streams, an Application to Eratosthenes’ Sieve (YB), pp. 102–115.
DATEDATE-v1-2004-BhuniaRR #analysis #using
Trim Bit Setting of Analog Filters Using Wavelet-Based Supply Current Analysis (SB, AR, KR), pp. 704–705.
DATEDATE-v1-2004-CorsiMMBD #pseudo #sequence
Pseudo-Random Sequence Based Tuning System for Continuous-Time Filters (FC, CM, GM, AB, SD), pp. 94–101.
DATEDATE-v1-2004-ReNR #automation #generative
A Tool for Automatic Generation of RTL-Level VHDL Description of RNS FIR Filters (ADR, AN, MR), pp. 686–687.
DATEDATE-v2-2004-KadayifK #energy #network
Tuning In-Sensor Data Filtering to Reduce Energy Consumption in Wireless Sensor Networks (IK, MTK), pp. 852–857.
DRRDRR-2004-ShinJKKK #adaptation #image #polynomial #using
Block-adaptive binarization of business card images in PDA using modified quadratic filter (KTS, IHJ, NCK, CHK, TSK), pp. 92–101.
SIGMODSIGMOD-2004-BabuMMNW #adaptation #pipes and filters
Adaptive Ordering of Pipelined Stream Filters (SB, RM, KM, IN, JW), pp. 407–418.
SIGMODSIGMOD-2004-JainCW #adaptation #resource management #using
Adaptive Stream Resource Management Using Kalman Filters (AJ, EYC, YFW), pp. 11–22.
ESOPESOP-2004-CarlssonB #algorithm #automaton #constraints #finite
From Constraints to Finite Automata to Filtering Algorithms (MC, NB), pp. 94–108.
ESOPESOP-2004-Feret #static analysis
Static Analysis of Digital Filters (JF), pp. 33–48.
FASEFASE-2004-LedruBMB #combinator #testing
Filtering TOBIAS Combinatorial Test Suites (YL, LdB, OM, PB), pp. 281–294.
STOCSTOC-2004-KleinbergS #collaboration #modelling #using
Using mixture models for collaborative filtering (JMK, MS), pp. 569–578.
ICEISICEIS-v2-2004-VelosoJA #collaboration #modelling
Model-Based Collaborative Filtering for Team Building Support (MV, AJ, PJA), pp. 241–248.
CIKMCIKM-2004-FradkinK #adaptation #analysis #approach #design #information retrieval
A design space approach to analysis of information retrieval adaptive filtering systems (DF, PBK), pp. 251–260.
CIKMCIKM-2004-LuoLLL #data access #fine-grained #named #query #runtime #xml
QFilter: fine-grained run-time XML access control via NFA-based query rewriting (BL, DL, WCL, PL), pp. 543–552.
CIKMCIKM-2004-SiJ #collaboration #exponential
Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model (LS, RJ), pp. 156–157.
ICMLICML-2004-BasilicoH #collaboration
Unifying collaborative and content-based filtering (JB, TH).
ICMLICML-2004-MarlinZ #collaboration #multi
The multiple multiplicative factor model for collaborative filtering (BMM, RSZ).
ICPRICPR-v1-2004-Ben-ArtziHH #kernel
Filtering with Gray-Code Kernels (GBA, HHO, YHO), pp. 556–559.
ICPRICPR-v1-2004-FortunaC #invariant #recognition
ICA Filters For Lighting Invariant Face Recognition (JF, DWC), pp. 334–337.
ICPRICPR-v1-2004-NakamuraHFS #image #parallel #using
Fingerprint Image Enhancement using a Parallel Ridge Filter (TN, MH, HF, KS), pp. 536–539.
ICPRICPR-v1-2004-Rivero-MorenoB #feature model
Texture Feature Extraction and Indexing by Hermite Filters (CJRM, SB), pp. 684–687.
ICPRICPR-v1-2004-Vliet #normalisation #robust
Robust Local Max-Min Filters by Normalized Power-Weighted Filtering (LJvV), pp. 696–699.
ICPRICPR-v2-2004-BandoSDI #performance #realtime #visual notation
Switching Particle Filters for Efficient Real-time Visual Tracking (TB, TS, KD, SI), pp. 720–723.
ICPRICPR-v2-2004-HouZ #3d #algorithm #estimation
Filter Algorithm for 3D Pose Estimation of Maneuvering Target (FH, FZ), pp. 140–144.
ICPRICPR-v2-2004-SuW #normalisation #using
Decomposing Chinese Characters into Stroke Segments Using SOGD Filters and Orientation Normalization (YMS, JFW), pp. 351–354.
ICPRICPR-v3-2004-BruijneN #image #segmentation
Image Segmentation by Shape Particle Filtering (MdB, MN), pp. 722–725.
ICPRICPR-v3-2004-DargentLGB
Sector-based Diffusion Filtering (RD, OL, SG, PB), pp. 679–682.
ICPRICPR-v3-2004-DeguchiKO #algorithm
Object Tracking by the Mean-Shift of Regional Color Distribution Combined with the Particle-Filter Algorithm (KD, OK, TO), pp. 506–509.
ICPRICPR-v3-2004-ForestSCP #3d #approach #detection
Laser Stripe Peak Detector for 3D Scanners. A FIR Filter Approach (JF, JS, EC, CP), pp. 646–649.
ICPRICPR-v3-2004-IrnigerB #database #graph #using
Graph Database Filtering Using Decision Trees (CI, HB), pp. 383–388.
ICPRICPR-v3-2004-SatohOD
A Color-based Tracking by Kalman Particle Filter (YS, TO, KD), pp. 502–505.
ICPRICPR-v3-2004-SavvidesKK04a #recognition
Cancelable Biometric Filters for Face Recognition (MS, BVKVK, PKK), pp. 922–925.
ICPRICPR-v4-2004-GenovesioO #multi
Split and Merge Data Association Filter for Dense Multi-target Tracking (AG, JCOM), pp. 677–680.
ICPRICPR-v4-2004-OrtizMG #image
Gaussian Noise Elimination in Colour Images by Vector-Connected Filters (FO, FTM, PG), pp. 807–810.
ICPRICPR-v4-2004-OtsukaM #analysis #multi
A Particle Filter for Tracking Densely Populated Objects Based on Explicit Multiview Occlusion Analysis (KO, NM), pp. 745–750.
ICPRICPR-v4-2004-ZaveriMD #image #information retrieval #modelling #multi #sequence #using
Tracking of Point Targets in IR Image Sequence using Multiple Model Based Particle Filtering and MRF Based Data Association (MAZ, SNM, UBD), pp. 729–732.
KDDKDD-2004-AiroldiF #network
Recovering latent time-series from their observed sums: network tomography with particle filters (EA, CF), pp. 30–39.
KDDKDD-2004-AliS #architecture #collaboration #distributed #named #recommendation #using
TiVo: making show recommendations using a distributed collaborative filtering architecture (KA, WvS), pp. 394–401.
SEKESEKE-2004-KhoshgoftaarJ #case study #classification #quality
Noise Elimination with Ensemble-Classifier Filtering: A Case-Study in Software Quality Engineerin (TMK, VHJ), pp. 226–231.
SIGIRSIGIR-2004-BasilicoH #collaboration #framework
A joint framework for collaborative and content filtering (JB, TH), pp. 550–551.
SIGIRSIGIR-2004-BeitzelJCGF04a #evaluation
Evaluation of filtering current news search results (SMB, ECJ, AC, DAG, OF), pp. 494–495.
SIGIRSIGIR-2004-ChristelMH #image #retrieval #video
Evaluating content-based filters for image and video retrieval (MGC, NM, CH), pp. 590–591.
SIGIRSIGIR-2004-JinCS #automation #collaboration
An automatic weighting scheme for collaborative filtering (RJ, JYC, LS), pp. 337–344.
SIGIRSIGIR-2004-JinS #case study #collaboration #normalisation
A study of methods for normalizing user ratings in collaborative filtering (RJ, LS), pp. 568–569.
SIGIRSIGIR-2004-KokiopoulouS #information retrieval #polynomial #semantics
Polynomial filtering in latent semantic indexing for information retrieval (EK, YS), pp. 104–111.
SIGIRSIGIR-2004-McLaughlinH #algorithm #collaboration #evaluation #experience #metric #user interface
A collaborative filtering algorithm and evaluation metric that accurately model the user experience (MRM, JLH), pp. 329–336.
SIGIRSIGIR-2004-SomloH #web
Filtering for personal web information agents (GS, AEH), pp. 588–589.
SIGIRSIGIR-2004-TryfonopoulosKD #algorithm #information retrieval #modelling #proximity
Filtering algorithms for information retrieval models with named attributes and proximity operators (CT, MK, YD), pp. 313–320.
SIGIRSIGIR-2004-YuTY #framework #information management #parametricity
A nonparametric hierarchical bayesian framework for information filtering (KY, VT, SY), pp. 353–360.
SIGIRSIGIR-2004-Zhang #adaptation #classification #using
Using bayesian priors to combine classifiers for adaptive filtering (YZ0), pp. 345–352.
SACSAC-2004-AgiusA #metadata #modelling #video
Modelling and filtering of MPEG-7-compliant meta-data for digital video (HWA, MCA), pp. 1248–1252.
SACSAC-2004-BerfieldBC #mobile #streaming
Profile and context filtering of streaming data for a mobile personal assistant (AB, JB, PKC), pp. 1615–1616.
SACSAC-2004-Calderon-BenavidesGAGD #algorithm #collaboration #comparison #multi #predict
A comparison of several predictive algorithms for collaborative filtering on multi-valued ratings (MLCB, CNGC, JdJPA, JCGD, JD), pp. 1033–1039.
OSDIOSDI-2004-BosBCNP #named #performance
FFPF: Fairly Fast Packet Filters (HB, WdB, MLC, TN, GP), pp. 347–363.
DACDAC-2003-CarlettaVKF #fixpoint
Determining appropriate precisions for signals in fixed-point IIR filters (JC, RJV, FWK, ZF), pp. 656–661.
DACDAC-2003-RenG #performance
Synthesizing optimal filters for crosstalk-cancellation for high-speed buses (JR, MRG), pp. 592–597.
DATEDATE-2003-ChooMR #architecture #named #power management #synthesis
MRPF: An Architectural Transformation for Synthesis of High-Performance and Low-Power Digital Filters (HC, KM, KR), pp. 10700–10705.
ICDARICDAR-2003-AllierE #prototype #using
Font Type Extraction and Character Prototyping Using Gabor Filters (BA, HE), pp. 799–803.
ICDARICDAR-2003-Cheriet #image
Shock Filters for Character Image Enhancement and Peeling (MC), pp. 1247–1251.
ICDARICDAR-2003-MaD #classification #documentation #image #multi
Gabor Filter Based Multi-class Classifier for Scanned Document Images (HM, DSD), pp. 968–972.
ICDARICDAR-2003-SouzaCNS #assessment #automation #image #quality #using
Automatic Filter Selection Using Image Quality Assessment (AS, MC, SN, CYS), p. 508–?.
SIGMODSIGMOD-2003-CohenM
Spectral Bloom Filters (SC, YM), pp. 241–252.
SIGMODSIGMOD-2003-OlstonJW #adaptation #data type #distributed #query
Adaptive Filters for Continuous Queries over Distributed Data Streams (CO, JJ, JW), pp. 563–574.
VLDBVLDB-2003-ShahDR #approach #performance #streaming
An Efficient and Resilient Approach to Filtering and Disseminating Streaming Data (SS, SD, KR), pp. 57–68.
ICEISICEIS-v4-2003-UchyigitC #architecture #collaboration #multi
A Multi-Agent Architecture for Dynamic Collaborative Filtering (GU, KLC), pp. 363–368.
CIKMCIKM-2003-JinSZC #collaboration #modelling
Collaborative filtering with decoupled models for preferences and ratings (RJ, LS, CZ, JPC), pp. 309–316.
CIKMCIKM-2003-YangK #adaptation
Margin-based local regression for adaptive filtering (YY, BK), pp. 191–198.
ECIRECIR-2003-MacFarlaneRM #parallel
Parallel Computing for Term Selection in Routing/Filtering (AM, SER, JAM), pp. 537–545.
ICMLICML-2003-Harrington #algorithm #collaboration #online #ranking #using
Online Ranking/Collaborative Filtering Using the Perceptron Algorithm (EFH), pp. 250–257.
ICMLICML-2003-SiJ #collaboration #flexibility
Flexible Mixture Model for Collaborative Filtering (LS, RJ), pp. 704–711.
ICMLICML-2003-YuL #feature model #performance
Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution (LY, HL), pp. 856–863.
ICMLICML-2003-ZhangXC #adaptation #learning
Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning (YZ, WX, JPC), pp. 896–903.
KDDKDD-2003-Kamishima #collaboration #order #recommendation
Nantonac collaborative filtering: recommendation based on order responses (TK), pp. 583–588.
KDDKDD-2003-WuGLYC #multimodal
The anatomy of a multimodal information filter (YLW, KG, BL, HY, EYC), pp. 462–471.
MLDMMLDM-2003-DehmeshkiKC #rule-based #set
A Rule-Based Scheme for Filtering Examples from Majority Class in an Imbalanced Training Set (JD, MK, MVC), pp. 215–223.
SIGIRSIGIR-2003-EvansBH #optimisation #performance #robust
Optimizing term vectors for efficient and robust filtering (DAE, JB, DAH), pp. 451–452.
SIGIRSIGIR-2003-Hofmann #analysis #collaboration #probability #semantics
Collaborative filtering via gaussian probabilistic latent semantic analysis (TH), pp. 259–266.
SIGIRSIGIR-2003-SoboroffR
Building a filtering test collection for TREC 2002 (IS, SER), pp. 243–250.
SACSAC-2003-Gee #semantics #using
Using Latent Semantic Indexing to Filter Spam (KRG), pp. 460–464.
DATEDATE-2002-HassibiH #automation #design
Automated Optimal Design of Switched-Capacitor Filters (AH, MdMH), p. 1111.
SCAMSCAM-2002-BunusF #combinator #declarative #equation #graph transformation #semantics
Semantics Guided Filtering of Combinatorial Graph Transformations in Declarative Equation-Based Languages (PB, PF), pp. 163–172.
CIKMCIKM-2002-SungZP #database #performance #scalability
A fast filtering scheme for large database cleansing (SYS, ZL, SP), pp. 76–83.
CIKMCIKM-2002-YuXSTK #collaboration #consistency #in memory #nondeterminism
Removing redundancy and inconsistency in memory-based collaborative filtering (KY, XX, AS, VT, HPK), pp. 52–59.
ECIRECIR-2002-FinnKS #classification #information management
Genre Classification and Domain Transfer for Information Filtering (AF, NK, BS), pp. 353–362.
ICPRICPR-v1-2002-KamarainenKK #recognition
Fundamental Frequency Gabor Filters for Object Recognition (JKK, VK, HK), pp. 628–631.
ICPRICPR-v1-2002-WuYS #identification
Optimal Gabor Filters for High Speed Face Identification (HW, YY, TS), pp. 107–110.
ICPRICPR-v2-2002-FarmerHJ #multi #robust
Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human Motion Tracking (MEF, RLH, AKJ), pp. 20–23.
ICPRICPR-v2-2002-Lu #robust #using
Block DCT-Based Robust Watermarking Using Side Information Extracted by Mean Filtering (CSL), pp. 1001–1004.
ICPRICPR-v2-2002-MassadBM #image
Perceptual Grouping in Grey-Level Images by Combination of Gabor Filtering and Tensor Voting (AM, MB, BM), pp. 677–680.
ICPRICPR-v2-2002-MaWT #recognition #symmetry #using
Iris Recognition Using Circular Symmetric Filters (LM, YW, TT), pp. 414–417.
ICPRICPR-v2-2002-SatohTWKNY #detection #robust
Robust Event Detection by Radial Reach Filter (RRF) (YS, HT, CW, SK, YN, KY), pp. 623–627.
ICPRICPR-v2-2002-ZhangTM #invariant #segmentation
Invariant Texture Segmentation Via Circular Gabor Filters (JZ, TT, LM), pp. 901–904.
ICPRICPR-v3-2002-PawlakR #image
Non-Linear Local Harmonic Filters For Edge-Preserving Image Denoising (MP, ER), pp. 895–897.
ICPRICPR-v3-2002-SmolkaSPV #on the #performance
On the Fast Modification of the Vector Median Filter (BS, MS, KNP, ANV), pp. 931–934.
ICPRICPR-v3-2002-SuriLSL #3d #automation
Automatic Local Effect of Window/Level on 3-D Scale-Space Ellipsoidal Filtering on Run-Off-Arteries from White Blood Magnetic Resonanc Angiography (JSS, KL, SS, SL), pp. 899–902.
ICPRICPR-v4-2002-HadidPM #detection #using
Color-Based Face Detection Using Skin Locus Model and Hierarchical Filtering (AH, MP, BM), pp. 196–200.
ICPRICPR-v4-2002-Ichimura #estimation #image #monte carlo #probability #sequence #using
Stochastic Filtering for Motion Trajectory in Image Sequences Using a Monte Carlo Filter with Estimation of Hyper-Parameters (NI), pp. 68–73.
ICPRICPR-v4-2002-WangDL #feature model #recognition
Optimized Gabor Filter Based Feature Extraction for Character Recognition (XW, XD, CL), pp. 223–226.
ICPRICPR-v4-2002-ZhuJFL #eye tracking #information retrieval #realtime
Combining Kalman Filtering and Mean Shift for Real Time Eye Tracking under Active IR Illumination (ZZ, QJ, KF, KL), p. 318–?.
KDDKDD-2002-RidgewayM #analysis #dataset
Bayesian analysis of massive datasets via particle filters (GR, DM), pp. 5–13.
SIGIRSIGIR-2002-Canny #analysis #collaboration #privacy
Collaborative filtering with privacy via factor analysis (JFC), pp. 238–245.
SIGIRSIGIR-2002-ChaiCN #classification #online
Bayesian online classifiers for text classification and filtering (KMAC, HLC, HTN), pp. 97–104.
SIGIRSIGIR-2002-CosterS #algorithm #collaboration
Inverted file search algorithms for collaborative filtering (RC, MS), pp. 246–252.
SIGIRSIGIR-2002-ZhangCM #adaptation #detection
Novelty and redundancy detection in adaptive filtering (YZ, JPC, TPM), pp. 81–88.
PADLPADL-2002-GuptaGKPIRMDENZ #logic programming #question #semantics
Semantics-Based Filtering: Logic Programming’s Killer App? (GG, HFG, AIK, EP, JRI, DR, BM, ND, OEK, MN, XZ), pp. 82–100.
SACSAC-2002-BoughanemT #adaptation #incremental #learning
Incremental adaptive filtering: profile learning and threshold calibration (MB, MT), pp. 640–644.
CCCC-2002-BrandSVV #ambiguity #glr #parsing
Disambiguation Filters for Scannerless Generalized LR Parsers (MvdB, JS, JJV, EV), pp. 143–158.
HPDCHPDC-2002-Plale #data type #memory management #runtime
Leveraging Run Time Knowledge about Event Rates to Improve Memory Utilization in Wide Area Data Stream Filtering (BP), pp. 171–178.
DACDAC-2001-ParkK #representation #synthesis
Digital Filter Synthesis Based on Minimal Signed Digit Representation (ICP, HJK), pp. 468–473.
DATEDATE-2001-NeauMR #complexity #using
Low complexity FIR filters using factorization of perturbed coefficients (CN, KM, KR), pp. 268–272.
ICDARICDAR-2001-NishimuraTMMN #feature model #recognition #using
Off-line Hand-written Character Recognition Using Integrated 1D HMMs Based on Feature Extraction Filters (HN, MT, MM, HM, YN), pp. 417–423.
ICDARICDAR-2001-Takasu #approximate #documentation #performance #string
Document Filtering for Fast Approximate String Matching of Errorneous Text (AT), pp. 916–920.
VLDBVLDB-2001-NishioSTTL #functional #information management
Functional Properties of Information Filtering (RS, MT, YHL, TT, SN), pp. 511–520.
VLDBVLDB-2001-PereiraFJLS #named #xml
WebFilter: A High-throughput XML-based Publish and Subscribe System (JLMP, FF, HAJ, FL, DS), pp. 723–724.
CIKMCIKM-2001-LeeLC #algorithm #incremental #mining #performance
Sliding-Window Filtering: An Efficient Algorithm for Incremental Mining (CHL, CRL, MSC), pp. 263–270.
CIKMCIKM-2001-QiuL
Index Filtering and View Materialization in ROLAP Environment (SGQ, TWL), pp. 334–340.
CIKMCIKM-2001-YuXEK #collaboration #performance
Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering (KY, XX, ME, HPK), pp. 239–246.
ICMLICML-2001-ChoiR #approximate #difference #fixpoint #learning #performance
A Generalized Kalman Filter for Fixed Point Approximation and Efficient Temporal Difference Learning (DC, BVR), pp. 43–50.
ICMLICML-2001-Das #feature model #hybrid
Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection (SD), pp. 74–81.
KDDKDD-2001-MoodySV #automation #classification
Data filtering for automatic classification of rocks from reflectance spectra (JM, RBdAeS, JV), pp. 347–352.
KDDKDD-2001-YamanishiT
Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner (KY, JiT), pp. 389–394.
SIGIRSIGIR-2001-HoashiMIH #algorithm #collaboration #predict #query
Query Expansion Based on Predictive Algorithms for Collaborative Filtering (KH, KM, NI, KH), pp. 414–415.
SIGIRSIGIR-2001-ZhangC #estimation
Maximum Likelihood Estimation for Filtering Thresholds (YZ, JPC), pp. 294–302.
SACSAC-2001-RajeQM #information management #named
SIFTER-II: a heterogeneous agent society for information filtering (RRR, MQ, SM), pp. 121–123.
ICSEICSE-2001-CampaillaCCJV #performance #using
Efficient Filtering in Publish-Subscribe Systems Using Binary Decision (AC, SC, EMC, SJ, HV), pp. 443–452.
HPCAHPCA-2001-MoshovosMFC #energy #named
JETTY: Filtering Snoops for Reduced Energy Consumption in SMP Servers (AM, GM, BF, ANC), pp. 85–96.
ICSTSAT-2001-KautzRAGSS #problem #satisfiability
Balance and Filtering in Structured Satisfiable Problems (Preliminary Report) (HAK, YR, DA, CPG, BS, MES), pp. 2–18.
DACDAC-2000-PhelpsKRCH #case study #synthesis
A case study of synthesis for industrial-scale analog IP: redesign of the equalizer/filter frontend for an ADSL CODEC (RP, MK, RAR, LRC, JRH), pp. 1–6.
DATEDATE-2000-GoodbyO #fault #quality
Test Quality and Fault Risk in Digital Filter Datapath BIST (LG, AO), pp. 468–475.
DATEDATE-2000-WeilerMHH #detection #using
Detection of Defective Sensor Elements Using Sigma-Delta-Modulation and a Matched Filter (DW, OM, DH, BJH), pp. 599–603.
VLDBVLDB-2000-AltinelF #documentation #performance #xml
Efficient Filtering of XML Documents for Selective Dissemination of Information (MA, MJF), pp. 53–64.
IWPCIWPC-2000-WohlinHO #approach #comprehension #fault
Understanding the Sources of Software Defects: A Filtering Approach (CW, MH, MCO), pp. 9–17.
CSCWCSCW-2000-BoyleEG #privacy #video
The effects of filtered video on awareness and privacy (MB, CE, SG), pp. 1–10.
CSCWCSCW-2000-HerlockerKR #collaboration #recommendation
Explaining collaborative filtering recommendations (JLH, JAK, JR), pp. 241–250.
CIKMCIKM-2000-AslamPR #clustering #using
Using Star Clusters for Filtering (JAA, KP, DR), pp. 306–313.
ICPRICPR-v1-2000-GidasRA #monte carlo
Tracking of Moving Objects in Cluttered Environments via Monte Carlo Filter (BG, CR, MPdA), pp. 1175–1178.
ICPRICPR-v1-2000-GulsrudH #clustering #detection
Optimal Filter for Detection of Clustered Microcalcifications (TOG, JHH), pp. 1508–1511.
ICPRICPR-v1-2000-KuboNEKKMOKNMY #analysis #image
Extraction of Pulmonary Fissures from HRCT Images Based on Surface Curvatures Analysis and Morphology Filters (MK, NN, KE, MK, MK, NM, HO, RK, HN, KM, AY), pp. 1490–1493.
ICPRICPR-v1-2000-ShioyamaWM #cumulative #detection
Object Detection with Gabor Filters and Cumulative Histograms (TS, HW, SM), pp. 1704–1707.
ICPRICPR-v1-2000-StringaR #algorithm #novel
A Novel Camera Calibration Algorithm Based on Kalman Filter (ES, CSR), pp. 1872–1875.
ICPRICPR-v1-2000-TominagaO #multi #recognition
Object Recognition by Multi-Spectral Imaging with a Liquid Crystal Filter (ST, RO), pp. 1708–1711.
ICPRICPR-v2-2000-Haindl #recursion
Recursive Square-Root Filters (MH), pp. 6014–6017.
ICPRICPR-v3-2000-BoydM #implementation #multi #performance
Fast Implementation of Multiple Oriented Filters (JEB, JM), pp. 3458–3462.
ICPRICPR-v3-2000-GhosalURP
Hierarchical Partitioned Least Squares Filter-Bank for Fingerprint Enhancement (SG, RU, NKR, SP), pp. 3338–3341.
ICPRICPR-v3-2000-GreenbergAKD #image #using
Fingerprint Image Enhancement Using Filtering Techniques (SG, MA, DK, ID), pp. 3326–3329.
ICPRICPR-v3-2000-GrigorescuPK #case study #comparative #distance #using
A Comparative Study of Filter Based Texture Operators Using Mahalanobis Distance (SEG, NP, PK), pp. 3897–3900.
ICPRICPR-v3-2000-KaarnaP #image #multi
Wavelet Filter Selection in Multispectral Image Compression (AK, JP), pp. 3246–3249.
ICPRICPR-v3-2000-KobatakeJHSY #adaptation #convergence
Nonlinear Adaptive Convergence Index Filters and Their Characteristics (HK, JW, YH, AS, YY), pp. 3526–3529.
ICPRICPR-v3-2000-LimiaNF #3d #segmentation
Texture Segmentation of a 3D Seismic Section with Wavelet Transform and Gabor Filters (MFL, AMN, MTF), pp. 3358–3361.
ICPRICPR-v3-2000-Magrin-ChagnolleauD #pattern matching #pattern recognition #recognition
Application of Vector Filtering to Pattern Recognition (IMC, GD), pp. 3437–3440.
ICPRICPR-v3-2000-MullerH #image #invariant #on the
On the Use of SDF-Type Filters for Distortion Invariant Image Location (NM, BMH), pp. 3530–3533.
ICPRICPR-v3-2000-Rodriguez-MiguelTMJV #3d #correlation #generative #pattern matching #pattern recognition #recognition
Target Modelization and Filter Generation for 3D Pattern Recognition by Optical Correlation (FJRM, RT, MMU, IJ, SV), pp. 7030–7033.
ICPRICPR-v3-2000-ThiemH #design
Biology-Inspired Design of Digital Gabor Filters upon a Hexagonal Sampling Scheme (JT, GH), pp. 3449–3452.
ICPRICPR-v3-2000-YoungVG #recursion
Recursive Gabor Filtering (ITY, LJvV, MvG), pp. 3342–3345.
ICPRICPR-v4-2000-BodnarovaBL #detection #using
Textile Flaw Detection Using Optimal Gabor Filters (AB, MB, SJL), pp. 4799–4802.
ICPRICPR-v4-2000-WalterA #locality
Gabor Filters for Object Localization and Robot Grasping (JAW, BA), pp. 4124–4127.
SIGIRSIGIR-2000-AndroutsopoulosKCS #anti #comparison #email #keyword #naive bayes
An experimental comparison of naive bayesian and keyword-based anti-spam filtering with personal e-mail messages (IA, JK, KC, CDS), pp. 160–167.
SIGIRSIGIR-2000-FisherHHNTV #algorithm #collaboration #development #evaluation #framework #named
SWAMI: a framework for collaborative filtering algorithm development and evaluation (DF, KH, JIH, MWN, MT, RV), pp. 366–368.
SIGIRSIGIR-2000-HoashiMIH #documentation #using
Document filtering method using non-relevant information profile (KH, KM, NI, KH), pp. 176–183.
SIGIRSIGIR-2000-KimHZ #classification #naive bayes
Text filtering by boosting naive bayes classifiers (YHK, SYH, BTZ), pp. 168–175.
SIGIRSIGIR-2000-KuflikS #generative #information management #research
Generation of user profiles for information filtering — research agenda (TK, PS), pp. 313–315.
SIGIRSIGIR-2000-SoboroffN #collaboration
Collaborative filtering and the generalized vector space model (IS, CKN), pp. 351–353.
SIGIRSIGIR-2000-ZhaiJE #adaptation #approach #heuristic #learning
Exploration of a heuristic approach to threshold learning in adaptive filtering (CZ, PJ, DAE), pp. 360–362.
DACDAC-1999-HarjaniV #fault #parametricity
Digital Aetection of Analog Parametric Faults in SC Filters (RH, BV), pp. 772–777.
DATEDATE-1999-MukherjeeJTFAF #approach #performance #verification
An Efficient Filter-Based Approach for Combinational Verification (RM, JJ, KT, MF, JAA, DSF), pp. 132–137.
ICDARICDAR-1999-MurthyK #information management
Context Filters for Document-based Information Filtering (KRKM, SSK), pp. 709–712.
FMFM-v1-1999-PhilippsR #architecture #refinement
Refinement of Pipe-and-Filter Architectures (JP, BR), pp. 96–115.
HCIHCI-CCAD-1999-Tatemura #collaboration #visualisation
Visualizing collaborative filtering results (JT), pp. 132–136.
HCIHCI-CCAD-1999-YuCK #approximate #multi #using
Dynamic event filtering technique using multi-level path approximation in a shared virtual environment (SJY, YCC, KK), pp. 583–587.
CIKMCIKM-1999-LanquillonR #adaptation #detection #information management
Adaptive Information Filtering: Detecting Changes in Text Streams (CL, IR), pp. 538–544.
ICMLICML-1999-GambergerLG
Experiments with Noise Filtering in a Medical Domain (DG, NL, CG), pp. 143–151.
KDDKDD-1999-AggarwalWWY #approach #collaboration #graph
Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering (CCA, JLW, KLW, PSY), pp. 201–212.
SIGIRSIGIR-1999-GuptaDNG #algorithm #collaboration #evaluation #linear
Jester 2.0: Evaluation of an New Linear Time Collaborative Filtering Algorithm (poster abstract) (DG, MD, HN, KYG), pp. 291–292.
SIGIRSIGIR-1999-HerlockerKBR #algorithm #collaboration #framework
An Algorithmic Framework for Performing Collaborative Filtering (JLH, JAK, AB, JR), pp. 230–237.
SIGIRSIGIR-1999-LamY #adaptation #learning #online
An Intelligent Adaptive Filtering Agent Based on an On-Line Learning Model (poster abstract) (WL, KLY), pp. 287–288.
PPDPPPDP-1999-KusakariNT
Argument Filtering Transformation (KK, MN, YT), pp. 47–61.
HPDCHPDC-1999-FrankeM #visualisation
Reducing Data Distribution Bottlenecks by Employing Data Visualization Filters (EF, MM), pp. 255–262.
VLDBVLDB-1998-ShivakumarGC #approximate
Filtering with Approximate Predicates (NS, HGM, CC), pp. 263–274.
CSCWCSCW-1998-SarwarKBHMR #collaboration #predict #quality #research #using
Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System (BMS, JAK, AB, JLH, BNM, JR), pp. 345–354.
CSCWCSCW-1998-ZhaoS #image
Evaluating Image Filtering Based Techniques in Media Space Applications (QAZ, JTS), pp. 11–18.
CAiSECAiSE-1998-DomgesPS
A Filter-Mechanism for Method-Driven Trace Capture (RD, KP, KS), pp. 237–250.
CIKMCIKM-1998-YuL #adaptation #algorithm #learning #online
A New On-Line Learning Algorithm for Adaptive Text Filtering (KLY, WL), pp. 156–160.
ICMLICML-1998-BillsusP #collaboration #learning
Learning Collaborative Information Filters (DB, MJP), pp. 46–54.
ICMLICML-1998-NakamuraA #algorithm #collaboration #predict #using
Collaborative Filtering Using Weighted Majority Prediction Algorithms (AN, NA), pp. 395–403.
ICPRICPR-1998-BulowS #classification
Quaternionic gabor filters for local structure classification (TB, GS), pp. 808–810.
ICPRICPR-1998-DayP #learning #modelling
A projection filter for use with parameterised learning models (MJSD, JSP), pp. 867–869.
ICPRICPR-1998-MaioM98a #network
Neural network based minutiae filtering in fingerprints (DM, DM), pp. 1654–1658.
ICPRICPR-1998-OkumuraMKYMTIM #automation #detection #image
Automatic detection of lung cancers in chest CT images by variable N-Quoit filter (TO, TM, JiK, SY, MM, YT, TI, TM), pp. 1671–1673.
ICPRICPR-1998-SalmanL #modelling #recognition #representation
A layered representation for model-based filtering and recognition (MS, ML), pp. 643–647.
ICPRICPR-1998-SeemannT #image #segmentation #using
Structure preserving noise filtering of images using explicit local segmentation (TS, PET), pp. 1610–1612.
ICPRICPR-1998-VlietYV #recursion
Recursive Gaussian derivative filters (LJvV, ITY, PWV), pp. 509–514.
ICPRICPR-1998-WilliamsB #approach #image
A non-linear filtering approach to image matching (JAW, MB), pp. 1–3.
SIGIRSIGIR-1998-Callan #learning
Learning While Filtering Focuments (JPC), pp. 224–231.
SIGIRSIGIR-1998-SchapireSS
Boosting and Rocchio Applied to Text Filtering (RES, YS, AS), pp. 215–223.
FSEFSE-1998-DwyerP #model checking
Filter-Based Model Checking of Partial Systems (MBD, CSP), pp. 189–202.
DACDAC-1997-GoodbyO
Frequency-Domain Compatibility in Digital Filter BIST (LG, AO), pp. 540–545.
DATEEDTC-1997-ZarnikNM #design
Design of oscillation-based test structures for active RC filters (MSZ, FN, SM), p. 618.
ICDARICDAR-1997-WatanabeHYT #normalisation
Normalization Techniques of Handwritten Numerals for Gabor Filters (MW, YH, TY, ST), p. 303–?.
AdaTRI-Ada-1997-PautetW
Transparent Filtering of Streams in GLADE (LP, TW), pp. 11–19.
ECIRACIR-1997-WondergemBHW #information management #retrieval #towards
Towards an Agent-Based Retrieval Engine (Profile Information Filtering Project) (BW, PvB, TWCH, TPvdW).
CIKMCIKM-1997-DimitrovaME #video
Video Keyframe Extraction and Filtering: A Keyframe is not a Keyframe to Everyone (ND, TM, HE), pp. 113–120.
KDDKDD-1997-StoughB #image #multi #reduction
Image Feature Reduction through Spoiling: Its Application to Multiple Matched Filters for Focus of Attention (TMS, CEB), pp. 255–258.
SIGIRSIGIR-1997-FidelC #performance
Users’ Perception of the Performance of a Filtering System (RF, MC), pp. 198–205.
ASEKBSE-1996-Darche #algorithm #automation #difference #generative #set
Set Differentiation: A Method for the Automatic Generation of Filtering Algorithms (FDD), p. 19.
VLDBVLDB-1996-SevcikK
Filter Trees for Managing Spatial Data over a Range of Size Granularities (KCS, NK), pp. 16–27.
CSCWCSCW-1996-HillT #social #using
Using Frequency-of-Mention in Public Conversations for Social Filtering (WCH, LGT), pp. 106–112.
CSCWCSCW-1996-MarxS #named #personalisation
CLUES: Dynamic Personalized Message Filtering (MM, CS), pp. 113–121.
CSCWCSCW-1996-MillerR #collaboration #tutorial
A Hands-On Introduction to Collaborative Filtering (Tutorial) (BNM, JR), p. 5.
ICMLICML-1996-LiuS #approach #feature model #probability
A Probabilistic Approach to Feature Selection — A Filter Solution (HL, RS), pp. 319–327.
ICPRICPR-1996-AppenzellerC #adaptation #performance
Experimental performance characterization of adaptive filters (GA, JLC), pp. 417–421.
ICPRICPR-1996-CarevicC #adaptation #segmentation
Adaptive Gabor filters for texture segmentation (DC, TC), pp. 606–610.
ICPRICPR-1996-Chetverikov #algorithm #interactive #performance
Structural filtering with texture feature-based interaction maps: fast algorithm and applications (DC), pp. 795–799.
ICPRICPR-1996-DePieroT #adaptation #image #kernel #realtime #segmentation #using
Real-time range image segmentation using adaptive kernels and Kalman filtering (FWD, MMT), pp. 573–577.
ICPRICPR-1996-FischlS #adaptation #approximate #image
Learned adaptive nonlinear filtering for anisotropic diffusion approximation in image processing (BF, ELS), pp. 276–280.
ICPRICPR-1996-HansenS #estimation #using
Active depth estimation with gaze and vergence control using Gabor filters (MH, GS), pp. 287–291.
ICPRICPR-1996-HeidemannR #3d #architecture #recognition #using
A neural 3-D object recognition architecture using optimized Gabor filters (GH, HJR), pp. 70–74.
ICPRICPR-1996-JacksonA
Elliptical Gaussian filters (SAJ, NA), pp. 775–779.
ICPRICPR-1996-KobatakeM #adaptation #detection
Adaptive filter to detect rounded convex regions: iris filter (HK, MM), pp. 340–344.
ICPRICPR-1996-LamY #detection #performance
Efficient circular object detection with hypothesis filtering strategy and Hough transform (WCYL, SYY), pp. 542–546.
ICPRICPR-1996-MichaelisSSM #adaptation #network #using
Adaptive filtering of distorted displacement vector fields using artificial neural networks (BM, OS, US, RM), pp. 335–339.
ICPRICPR-1996-Palubinskas #adaptation #image
Adaptive filtering in magnetic resonance images (GP), pp. 523–527.
ICPRICPR-1996-Smith #flexibility
Flexible filter neighbourhood designation (SMS), pp. 206–212.
ICPRICPR-1996-StoschekYH #2d #detection #invariant #multi #robust #using
Rotation-invariant and robust multiple-2D-object detection using steerable pyramid denoising and optimized circular harmonic filters (AS, TPYY, RH), pp. 376–380.
ICPRICPR-1996-YamamotoMTI0 #automation #detection
Quoit filter-a new filter based on mathematical morphology to extract the isolated shadow, and its application to automatic detection of lung cancer in X-ray CT (SY, MM, YT, TI, TM), pp. 3–7.
SIGIRSIGIR-1996-Allan #feedback #incremental #information management
Incremental Relevance Feedback for Information Filtering (JA), pp. 270–278.
SIGIRSIGIR-1996-BellM #design #information management #performance
The Design of a High Performance Information Filtering System (TAHB, AM), pp. 12–20.
SIGIRSIGIR-1996-Callan #documentation #network
Document Filtering With Inference Networks (JPC), pp. 262–269.
SIGIRSIGIR-1996-HullPS #documentation
Method Combination For Document Filtering (DAH, JOP, HS), pp. 279–287.
SIGIRSIGIR-1996-LamMMP #detection #information management #personalisation
Detection of Shifts in User Interests for Personalized Information Filtering (WL, SM, JM, MJP), pp. 317–325.
LOPSTRLOPSTR-1996-LeuschelS96a #logic programming #source code
Redundant Argument Filtering of Logic Programs (ML, MHS), pp. 83–103.
POPLPOPL-1996-ProebstingW
Filter Fusion (TAP, SAW), pp. 119–130.
SACSAC-1996-Neubauer #adaptation #algorithm #search-based
Genetic algorithms for non-linear adaptive filters in digital signal processing (AN), pp. 519–522.
ICDARICDAR-v2-1995-LeplumeyCQ #documentation #segmentation #towards
Kalman filter contributions towards document segmentation (IL, JC, CQ), pp. 765–769.
ICDARICDAR-v2-1995-LuT #segmentation #word
Gray scale filtering for line and word segmentation (YL, ACT), pp. 648–651.
ICDARICDAR-v2-1995-WangHR #recognition #segmentation
A shape band-pass filter for character recognition and texture segmentation (DW, VHC, JR), pp. 681–684.
ICDARICDAR-v2-1995-YoonLK #image #using
Faxed image restoration using Kalman filtering (MYY, SWL, JSK), pp. 677–680.
PODSPODS-1995-BrodskyLLM #constraints
Separability of Polyhedra for Optimal Filtering of Spatial and Constraint Data (AB, CL, JLL, MJM), pp. 54–65.
CHICHI-1995-FishkinS #query
Enhanced Dynamic Queries via Movable Filters (KPF, MCS), pp. 415–420.
CHICHI-1995-MaltzE #collaboration
Pointing the Way: Active Collaborative Filtering (DM, KE), pp. 202–209.
CHICHI-1995-ShardanandM #algorithm #automation #information management #social #word
Social Information Filtering: Algorithms for Automating “Word of Mouth” (US, PM), pp. 210–217.
CIKMCIKM-1995-ORiordanS
An Intelligent Agent for High-Precision Text Filtering (AO, HS), pp. 205–211.
ICMLICML-1995-Lang #learning #named
NewsWeeder: Learning to Filter Netnews (KL), pp. 331–339.
CHICHI-1994-AhlbergS94c #query #visual notation
Visual information seeking: tight coupling of dynamic query filters with starfield displays (CA, BS), pp. 313–317.
CHICHI-1994-StoneFB94a #user interface
The movable filter as a user interface tool (MCS, KPF, EAB), pp. 306–312.
CSCWCSCW-1994-ResnickISBR #architecture #collaboration #named
GroupLens: An Open Architecture for Collaborative Filtering of Netnews (PR, NI, MS, PB, JR), pp. 175–186.
SIGIRSIGIR-1994-MoritaS #analysis #behaviour #information management #retrieval
Information Filtering Based on User Behaviour Analysis and Best Match Text Retrieval (MM, YS), pp. 272–281.
SIGIRSIGIR-1994-Persin #documentation #performance #ranking
Document Filtering for Fast Ranking (MP), pp. 339–348.
ECOOPECOOP-1994-AksitBSB #inheritance #realtime #specification
Real-Time Specification Inheritance Anomalies and Real-Time Filters (MA, JB, WvdS, LB), pp. 386–407.
SACSAC-1994-ChangCG #abstract interpretation #bottom-up #execution #logic programming #source code
Abstract filters: improving bottom-up execution of logic programs by two-phase abstract interpretation (BMC, KMC, RG), pp. 388–393.
DACDAC-1993-WangDNS #architecture #multi #scalability #synthesis #using
High-Level Synthesis of Scalable Architectures for IIR Filters using Multichip Modules (HW, NDD, AN, KYS), pp. 336–342.
ICDARICDAR-1993-NakajimaM #classification #modelling #recognition
A model-based classifier in a scheme of recognition filter (YN, SM), pp. 68–71.
ICDARICDAR-1993-ShabanLNR #image #implementation #performance
Fast image filtering implementation (MS, SL, LN, RB), pp. 735–738.
VLDBVLDB-1993-VhanHY #execution
Applying Hash Filters to Improving the Execution of Bushy Trees (MSC, HIH, PSY), pp. 505–516.
VLDBVLDB-1993-ZezulaCT #parallel
Hamming Filters: A Dynamic Signature File Organization for Parallel Stores (PZ, PC, PT), pp. 314–327.
HCIHCI-SHI-1993-Thiopoulous #interactive
An Interactive Information Filter or a Trip in Hyperspace (CT), pp. 214–219.
CHIINTERCHI-1993-Verrips
Filtered suggestions (abstract) (JV), p. 467.
SACSAC-1993-AcreeCUGS #adaptation #algorithm #analysis #linear #parallel
Parallelization and Analysis of a Linear Adaptive Filtering Algorithm (RKA, DTC, NU, MJG, DMS), pp. 165–172.
SACSAC-1993-AnconaN #reuse
Filtering Import: A Basic Mechanism for Reusability (MA, PN), pp. 103–110.
ECOOPECOOP-1992-AksitBV #approach #integration #object-oriented
An Object-Oriented Language-Database Integration Model: The Composition-Filters Approach (MA, LB, SV), pp. 372–395.
ICMLML-1991-Kadie #induction #learning
Quantifying the Value of Constructive Induction, Knowledge, and Noise Filtering on Inductive Learning (CMK), pp. 153–157.
SIGIRSIGIR-1991-FreiW #algorithm #effectiveness #network #retrieval
Retrieval Algorithm Effectiveness in a Wide Area Network Information Filter (HPF, MFW), pp. 114–122.
DACDAC-1989-SaldanhaWBS #logic #multi #using
Multi-level Logic Simplification Using Don’t Cares and Filters (AS, ARW, RKB, ALSV), pp. 277–282.
ICMLML-1989-MarkovitchS #implementation
Information Filters and Their Implementation in the SYLLOG System (SM, PDS), pp. 404–407.
ICMLML-1988-Etzioni #approach #learning #reliability
Hypothesis Filtering: A Practical Approach to Reliable Learning (OE), pp. 416–429.
ECOOPECOOP-1987-EgeM #interface #visual notation
The Filter Browser Defining Interfaces Graphically (RKE, DM), pp. 140–150.
SOSPSOSP-1987-MogulRA #network #performance
The Packet Filter: An Efficient Mechanism for User-level Network Code (JCM, RFR, MJA), pp. 39–51.
DACDAC-1976-Daae #approximate #interactive
Bandpass filter approximation by interactive graphics (HD), pp. 131–133.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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