Stem classif$ (all stems)

1695 papers:

DAC-2015-ChenCX #classification #named #power management #video

DaTuM: dynamic tone mapping technique for OLED display power saving based on video classification (XC, YC, CJX), p. 6.

DATE-2015-OyaSYT #classification #identification

A score-based classification method for identifying hardware-trojans at gate-level netlists (MO, YS, MY, NT), pp. 465–470.

DocEng-2015-FerreiraLCFSR #automation #classification #documentation #summary #using

Automatic Document Classification using Summarization Strategies (RF, RDL, LdSC, FF, SJS, MR), pp. 69–72.

DocEng-2015-SvendsenA #classification #documentation

Change Classification in Graphics-Intensive Digital Documents (JS, ABA), pp. 203–206.

HT-2015-BurnapCS #analysis #classification #communication #twitter

Machine Classification and Analysis of Suicide-Related Communication on Twitter (PB, WC, JS), pp. 75–84.

CHI-2015-FaircloughKG #classification #interactive #realtime

Classification Accuracy from the Perspective of the User: Real-Time Interaction with Physiological Computing (SHF, AJK, KMG), pp. 3029–3038.

CHI-2015-SatoYOSHTHR #classification #interactive #named

SpecTrans: Versatile Material Classification for Interaction with Textureless, Specular and Transparent Surfaces (MS, SY, AO, BS, AH, TT, MH, RR), pp. 2191–2200.

HCI-IT-2015-SatoAOO #analysis #automation #classification #image

Automatic Classification Between Involuntary and Two Types of Voluntary Blinks Based on an Image Analysis (HS, KA, SO, MO), pp. 140–149.

HIMI-IKD-2015-KastratiIY #classification #documentation #framework #using

A General Framework for Text Document Classification Using SEMCON and ACVSR (ZK, ASI, SYY), pp. 310–319.

ICEIS-v1-2015-FerrandinENSA #approach #classification

A Centroid-based Approach for Hierarchical Classification (MF, FE, JCN, EES, BCÁ), pp. 25–33.

ICEIS-v1-2015-PfaffK #automation #benchmark #classification #documentation #identification #metric #natural language

Natural Language Processing Techniques for Document Classification in IT Benchmarking — Automated Identification of Domain Specific Terms (MP, HK), pp. 360–366.

ICEIS-v1-2015-SunB #classification #mining #process

Function-based Case Classification for Improving Business Process Mining (YS, BB), pp. 251–258.

ECIR-2015-CanneytCD #classification #sentiment #topic #twitter

Topic-Dependent Sentiment Classification on Twitter (SVC, NC, BD), pp. 441–446.

ECIR-2015-EfremovaGC #classification

Classification of Historical Notary Acts with Noisy Labels (JE, AMG, TC), pp. 49–54.

ECIR-2015-HagenPBS #classification #detection #sentiment #twitter #using

Twitter Sentiment Detection via Ensemble Classification Using Averaged Confidence Scores (MH, MP, MB, BS), pp. 741–754.

ECIR-2015-RomeoIT #classification #documentation #knowledge-based #multi #representation

Knowledge-Based Representation for Transductive Multilingual Document Classification (SR, DI, AT), pp. 92–103.

ECIR-2015-SaracIGD #classification #concept #flexibility #framework #named

ConceptFusion: A Flexible Scene Classification Framework (MIS, AI, EG, PD), pp. 55–60.

ECIR-2015-SchindlerR #approach #classification #music

An Audio-Visual Approach to Music Genre Classification through Affective Color Features (AS, AR), pp. 61–67.

ICML-2015-GasseAE #classification #composition #multi #on the #set

On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property (MG, AA, HE), pp. 2531–2539.

ICML-2015-HazanLM #classification #rank

Classification with Low Rank and Missing Data (EH, RL, YM), pp. 257–266.

ICML-2015-HuangWSLC #classification #image #learning #metric #set #symmetry

Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification (ZH, RW, SS, XL, XC), pp. 720–729.

ICML-2015-RamaswamyT0 #classification

Convex Calibrated Surrogates for Hierarchical Classification (HGR, AT, SA), pp. 1852–1860.

ICML-2015-RichmanM #classification #constraints

Dynamic Sensing: Better Classification under Acquisition Constraints (OR, SM), pp. 267–275.

KDD-2015-ChakrabortyBSPY #classification #framework #learning #named #novel

BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification (SC, VNB, ARS, SP, JY), pp. 99–108.

KDD-2015-OkumuraST #analysis #classification #incremental #linear #problem

Quick Sensitivity Analysis for Incremental Data Modification and Its Application to Leave-one-out CV in Linear Classification Problems (SO, YS, IT), pp. 885–894.

KDD-2015-RoyTZLHNM #classification

Dynamic Hierarchical Classification for Patient Risk-of-Readmission (SBR, AT, KZ, RL, DH, SN, AM), pp. 1691–1700.

KDD-2015-SethiYRVR #classification #machine learning #scalability #using

Scalable Machine Learning Approaches for Neighborhood Classification Using Very High Resolution Remote Sensing Imagery (MS, YY, AR, RRV, SR), pp. 2069–2078.

KDD-2015-SunAYMMBY #classification #learning

Transfer Learning for Bilingual Content Classification (QS, MSA, BY, CM, VM, AB, JY), pp. 2147–2156.

MLDM-2015-Babu #classification #identification #using

Offline Writer Identification in Tamil Using Bagged Classification Trees (SB), pp. 342–354.

MLDM-2015-Prado #classification #named

MOGACAR: A Method for Filtering Interesting Classification Association Rules (DBP), pp. 172–183.

SEKE-2015-TaheriS #agile #classification #development

A Feature-Based Tool-Selection Classification for Agile Software Development (MT, SMS), pp. 700–704.

SEKE-2015-YangL #classification #identification #requirements

Identification and Classification of Requirements from App User Reviews (HY, PL), pp. 7–12.

SIGIR-2015-CanutoGSRM #approach #classification #documentation #parallel #performance #scalability

An Efficient and Scalable MetaFeature-based Document Classification Approach based on Massively Parallel Computing (SDC, MAG, WS, TR, WM), pp. 333–342.

SIGIR-2015-EswaranBP #classification #modelling #scalability #topic

Modeling Website Topic Cohesion at Scale to Improve Webpage Classification (DE, PNB, JJPI), pp. 787–790.

SIGIR-2015-FangOHML #classification #topic #twitter

Topic-centric Classification of Twitter User’s Political Orientation (AF, IO, PH, CM, NL), pp. 791–794.

SIGIR-2015-SallesGRR #automation #classification #effectiveness #fault #named #random

BROOF: Exploiting Out-of-Bag Errors, Boosting and Random Forests for Effective Automated Classification (TS, MAG, VR, LCdR), pp. 353–362.

SAC-2015-BerardiEF0 #classification #mobile #multi

Multi-store metadata-based supervised mobile app classification (GB, AE, TF, FS), pp. 585–588.

SAC-2015-BurkhardtK #classification #multi #on the

On the spectrum between binary relevance and classifier chains in multi-label classification (SB, SK), pp. 885–892.

SAC-2015-CharuvakaR #approximate #classification #coordination #scalability

Approximate block coordinate descent for large scale hierarchical classification (AC, HR), pp. 837–844.

SAC-2015-GonzalezRP #classification #image

Computationally-efficient classification of HEp-2 cell patterns in IIF images (LFPG, DDAR, MSP), pp. 825–830.

SAC-2015-MakrisVV #classification #predict

Classification model for predicting cost slippage in governmental ICT projects (CM, PV, JV), pp. 1238–1241.

SAC-2015-OmatuYI #classification #learning #smell

Smell classification of wines by the learning vector quantization method (SO, MY, YI), pp. 195–200.

SAC-2015-RochaRCOMVADGF #algorithm #classification #dataset #documentation #named #performance #using

G-KNN: an efficient document classification algorithm for sparse datasets on GPUs using KNN (LCdR, GSR, RC, RSO, DM, FV, GA, SD, MAG, RF), pp. 1335–1338.

SAC-2015-TakemuraTT #classification #twitter

Classification of Twitter follow links based on the followers’ intention (HT, AT, KT), pp. 1174–1180.

ICSE-v1-2015-GhotraMH #classification #fault #modelling #performance #predict

Revisiting the Impact of Classification Techniques on the Performance of Defect Prediction Models (BG, SM, AEH), pp. 789–800.

ICSE-v1-2015-PetrosyanRM #api #classification #information management #using

Discovering Information Explaining API Types Using Text Classification (GP, MPR, RDM), pp. 869–879.

HPCA-2015-RosDK #classification #clustering #performance

Hierarchical private/shared classification: The key to simple and efficient coherence for clustered cache hierarchies (AR, MD, SK), pp. 186–197.

ISSTA-2015-XueWLXSC #behaviour #classification #detection #javascript #modelling

Detection and classification of malicious JavaScript via attack behavior modelling (YX, JW, YL, HX, JS, MC), pp. 48–59.

CASE-2014-MatsumotoY #3d #classification #framework #image

An object classification framework based on unmeasurable area patterns found in 3D range images (KM, KY), pp. 242–248.

CASE-2014-WolffNLM #classification #lifecycle #standard

An information classification system for life cycle and manufacturing standards (SW, AN, DL, KCM), pp. 498–503.

CASE-2014-Wu #classification

Classifications for batch service queues in production systems (KW), pp. 698–703.

DocEng-2014-DiemKS #analysis #classification #documentation

Ruling analysis and classification of torn documents (MD, FK, RS), pp. 63–72.

DRR-2014-KleberDS #classification #retrieval #using #word

Form classification and retrieval using bag of words with shape features of line structures (FK, MD, RS), pp. 902107–9.

DRR-2014-YouADT #classification #image #retrieval

A contour-based shape descriptor for biomedical image classification and retrieval (DY, SA, DDF, GRT), p. ?–12.

HT-2014-TanakaTT #classification #twitter #why

Why you follow: a classification scheme for twitter follow links (AT, HT, KT), pp. 324–326.

VLDB-2014-SunRYD #classification #crowdsourcing #machine learning #named #scalability #using

Chimera: Large-Scale Classification using Machine Learning, Rules, and Crowdsourcing (CS, NR, FY, AD), pp. 1529–1540.

ITiCSE-2014-TedreBMC #classification #concept #education #identification #towards

Towards identification and classification of core and threshold concepts in methodology education in computing (MT, DB, SMB, JCC), pp. 237–242.

ICPC-2014-ThungLOC #classification #design #diagrams #metric #network #using

Condensing class diagrams by analyzing design and network metrics using optimistic classification (FT, DL, MHO, MRVC), pp. 110–121.

ICSME-2014-ZhouTGG #classification #data mining #debugging #mining

Combining Text Mining and Data Mining for Bug Report Classification (YZ, YT, RG, HCG), pp. 311–320.

CHI-2014-LiuCBLM #classification #navigation

Effects of display size and navigation type on a classification task (CL, OC, MBL, EL, WEM), pp. 4147–4156.

CHI-2014-SchwarzXMHH #classification #probability #using

Probabilistic palm rejection using spatiotemporal touch features and iterative classification (JS, RX, JM, SEH, CH), pp. 2009–2012.

CSCW-2014-MillerGS #classification #collaboration #visualisation

Unsupervised classification and visualization of unstructured text for the support of interdisciplinary collaboration (LJM, RG, SS), pp. 1033–1042.

DHM-2014-IkenoboKKTG #classification

The Classification Tendency and Common Denomination of the Points Paid Attention in Ikebana Instruction (YI, NK, NK, YT, AG), pp. 263–272.

HIMI-DE-2014-Banic #classification #interactive #visualisation

Selection Classification for Interaction with Immersive Volumetric Visualizations (AUB), pp. 10–21.

LCT-NLE-2014-TaraghiSES #classification #learning #markov #multi

Markov Chain and Classification of Difficulty Levels Enhances the Learning Path in One Digit Multiplication (BT, AS, ME, MS), pp. 322–333.

SCSM-2014-MendesFFC #analysis #classification #how #social #using

How Do Users Express Their Emotions Regarding the Social System in Use? A Classification of Their Postings by Using the Emotional Analysis of Norman (MSM, EF, VF, MFdC), pp. 229–241.

ICEIS-v1-2014-0001DFL #classification #constraints #documentation #process

Service Level Agreement Constraints into Processes for Document Classification (MB, MD, FF, AL), pp. 545–550.

CIKM-2014-CanutoSGRRGRM #classification #effectiveness #on the #performance

On Efficient Meta-Level Features for Effective Text Classification (SDC, TS, MAG, LCdR, GSR, LG, TCR, WSM), pp. 1709–1718.

CIKM-2014-ChanDYTZ #classification #ranking #retrieval

Term Selection and Result Reranking for Question Retrieval by Exploiting Hierarchical Classification (WC, JD, WY, JT, XZ), pp. 141–150.

CIKM-2014-HanWP #classification #using

Within-Network Classification Using Radius-Constrained Neighborhood Patterns (JH, JRW, JP), pp. 1539–1548.

CIKM-2014-HongBH #classification #framework #multi

A Mixtures-of-Trees Framework for Multi-Label Classification (CH, IB, MH), pp. 211–220.

CIKM-2014-LinLYC #classification #modelling #sentiment

Exploring Ensemble of Models in Taxonomy-based Cross-Domain Sentiment Classification (CKL, YYL, CHY, HHC), pp. 1279–1288.

CIKM-2014-LiuLK #classification #information management #performance #using

Using Local Information to Significantly Improve Classification Performance (WL, DL, RK), pp. 1947–1950.

CIKM-2014-LuciaF #classification #knowledge-based #named #network

EgoCentric: Ego Networks for Knowledge-based Short Text Classification (WL, EF), pp. 1079–1088.

CIKM-2014-MaoWHO #classification #learning #linear #multi

Nonlinear Classification via Linear SVMs and Multi-Task Learning (XM, OW, WH, PO), pp. 1955–1958.

CIKM-2014-WangWLW #classification #concept #ranking

Concept-based Short Text Classification and Ranking (FW, ZW, ZL, JRW), pp. 1069–1078.

ECIR-2014-KimJHLY #automation #classification

Quality-Based Automatic Classification for Presentation Slides (SK, WJ, KH, JGL, MYY), pp. 638–643.

ECIR-2014-LuoGWL #algorithm #classification #named #network #novel

HetPathMine: A Novel Transductive Classification Algorithm on Heterogeneous Information Networks (CL, RG, ZW, CL), pp. 210–221.

ICML-c1-2014-LiL #classification #multi

Condensed Filter Tree for Cost-Sensitive Multi-Label Classification (CLL, HTL), pp. 423–431.

ICML-c1-2014-YangSX #classification

The Coherent Loss Function for Classification (WY, MS, HX), pp. 37–45.

ICML-c2-2014-LiG #classification #learning #representation #semantics

Latent Semantic Representation Learning for Scene Classification (XL, YG), pp. 532–540.

ICML-c2-2014-LinDH0 #classification #encoding #multi

Multi-label Classification via Feature-aware Implicit Label Space Encoding (ZL, GD, MH, JW), pp. 325–333.

ICML-c2-2014-RodriguesPR #classification #learning #multi #process

Gaussian Process Classification and Active Learning with Multiple Annotators (FR, FCP, BR), pp. 433–441.

ICPR-2014-AliNB #classification #constraints #image #probability #scalability

Boosting Stochastic Newton with Entropy Constraint for Large-Scale Image Classification (WBHA, RN, MB), pp. 232–237.

ICPR-2014-AndreuLMG #analysis #automation #classification #gender #image

Analysis of the Effect of Image Resolution on Automatic Face Gender Classification (YA, JLC, RAM, PGS), pp. 273–278.

ICPR-2014-BagheriGE #approach #classification #novel #subclass

Generic Subclass Ensemble: A Novel Approach to Ensemble Classification (MAB, QG, SE), pp. 1254–1259.

ICPR-2014-BanerjeeCM #automation #classification #game studies #generative #wiki

Playscript Classification and Automatic Wikipedia Play Articles Generation (SB, CC, PM), pp. 3630–3635.

ICPR-2014-BargiXP #adaptation #classification #infinity #learning #online #segmentation #streaming

An Infinite Adaptive Online Learning Model for Segmentation and Classification of Streaming Data (AB, RYDX, MP), pp. 3440–3445.

ICPR-2014-BougueliaBB #classification #data type #detection #novel #performance

Efficient Active Novel Class Detection for Data Stream Classification (MRB, YB, AB), pp. 2826–2831.

ICPR-2014-ByeonLB #2d #classification #network #using

Texture Classification Using 2D LSTM Networks (WB, ML, TMB), pp. 1144–1149.

ICPR-2014-CaoHS #approach #classification #kernel #learning #multi

Optimization-Based Extreme Learning Machine with Multi-kernel Learning Approach for Classification (LlC, WbH, FS), pp. 3564–3569.

ICPR-2014-ChenCF #approach #classification #hybrid #semantics

A Hybrid Holistic/Semantic Approach for Scene Classification (ZC, ZC, HF), pp. 2299–2304.

ICPR-2014-CheplyginaSTPLB #classification #learning #multi

Classification of COPD with Multiple Instance Learning (VC, LS, DMJT, JJHP, ML, MdB), pp. 1508–1513.

ICPR-2014-CordellaSFF #classification #random #reliability

Random Forest for Reliable Pre-classification of Handwritten Characters (LPC, CDS, FF, ASdF), pp. 1319–1324.

ICPR-2014-Dahllof #classification

Scribe Attribution for Early Medieval Handwriting by Means of Letter Extraction and Classification and a Voting Procedure for Larger Pieces (MD), pp. 1910–1915.

ICPR-2014-DongPHLDJ #classification #network #using

Vehicle Type Classification Using Unsupervised Convolutional Neural Network (ZD, MP, YH, TL, YD, YJ), pp. 172–177.

ICPR-2014-DornaikaBSR #classification #encoding #graph #locality

Locality Constrained Encoding Graph Construction and Application to Outdoor Object Classification (FD, AB, HS, YR), pp. 2483–2488.

ICPR-2014-El-GaalyTE #classification

Spatial-Visual Label Propagation for Local Feature Classification (TEG, MT, AME), pp. 3422–3427.

ICPR-2014-EnsafiLKT #automation #classification #image

Automatic CAD System for HEp-2 Cell Image Classification (SE, SL, AAK, CLT), pp. 3321–3326.

ICPR-2014-FahadTR #classification #clustering #process #recognition #smarttech #using

Activity Recognition in Smart Homes Using Clustering Based Classification (LGF, SFT, MR), pp. 1348–1353.

ICPR-2014-FangZ #classification #learning

Cross Domain Shared Subspace Learning for Unsupervised Transfer Classification (ZF, ZZ), pp. 3927–3932.

ICPR-2014-GadermayrHU #adaptation #classification

Scale-Adaptive Texture Classification (MG, SH, AU), pp. 2643–2648.

ICPR-2014-Garcia-OlallaAFG #classification #statistics

Local Oriented Statistics Information Booster (LOSIB) for Texture Classification (OGO, EA, LFR, VGC), pp. 1114–1119.

ICPR-2014-GavriilidisT #classification #kernel #random #using

Random Walk Kernel Applications to Classification Using Support Vector Machines (VG, AT), pp. 3898–3903.

ICPR-2014-Gonzalez-CastroDC #adaptation #classification #using

Pixel Classification Using General Adaptive Neighborhood-Based Features (VGC, JD, VC), pp. 3750–3755.

ICPR-2014-HadjadjiCG #classification #multi

Multiple One-Class Classifier Combination for Multi-class Classification (BH, YC, YG), pp. 2832–2837.

ICPR-2014-HafianePS #adaptation #classification

Adaptive Median Binary Patterns for Texture Classification (AH, KP, GS), pp. 1138–1143.

ICPR-2014-HafnerLUW #classification

Bridging the Resolution Gap between Endoscope Types for a Colonic Polyp Classification (MH, ML, AU, GW), pp. 2739–2744.

ICPR-2014-HavaeiJL #classification #interactive #performance #segmentation

Efficient Interactive Brain Tumor Segmentation as Within-Brain kNN Classification (MH, PMJ, HL), pp. 556–561.

ICPR-2014-HazelhoffCW #classification #trade-off #word

Optimal Performance-Efficiency Trade-off for Bag of Words Classification of Road Signs (LBH, IMC, PHNdW), pp. 2996–3001.

ICPR-2014-IosifidisTP #classification #network

Semi-supervised Classification of Human Actions Based on Neural Networks (AI, AT, IP), pp. 1336–1341.

ICPR-2014-JangLSK #automation #classification #multi #using #video

Automatic Video Genre Classification Using Multiple SVM Votes (WDJ, CL, JYS, CSK), pp. 2655–2660.

ICPR-2014-KangKYLD #classification #documentation #image #network

Convolutional Neural Networks for Document Image Classification (LK, JK, PY, YL, DSD), pp. 3168–3172.

ICPR-2014-LiDXWP #classification #image #probability

Local Label Probability Propagation for Hyperspectral Image Classification (HL, JD, SX, LW, CP), pp. 4251–4256.

ICPR-2014-LiHYGPJ #classification #re-engineering

Locality-Constrained Sparse Reconstruction for Trajectory Classification (CL, ZH, QY, SG, LP, JJ), pp. 2602–2606.

ICPR-2014-LiuCVC #classification

Leaf Species Classification Based on a Botanical Shape Sub-classifier Strategy (HL, DC, LV, GC), pp. 1496–1501.

ICPR-2014-LiuL0L #classification #image #learning

Regularized Hierarchical Feature Learning with Non-negative Sparsity and Selectivity for Image Classification (BL, JL, XB, HL), pp. 4293–4298.

ICPR-2014-LovatoMCGB #2d #biology #classification #named #sequence

S-BLOSUM: Classification of 2D Shapes with Biological Sequence Alignment (PL, AM, CC, AG, MB), pp. 2335–2340.

ICPR-2014-McCarthyCO #classification #image

The Contribution of Morphological Features in the Classification of Prostate Carcinoma in Digital Pathology Images (NM, PC, GO), pp. 3269–3273.

ICPR-2014-NeumannHKKB #classification #image

Erosion Band Features for Cell Phone Image Based Plant Disease Classification (MN, LH, BK, KK, CB), pp. 3315–3320.

ICPR-2014-NguyenTHM #classification #novel

A Novel Sphere-Based Maximum Margin Classification Method (PN, DT, XH, WM), pp. 620–624.

ICPR-2014-NocetiO #classification #graph #kernel #process

A Spectral Graph Kernel and Its Application to Collective Activities Classification (NN, FO), pp. 3892–3897.

ICPR-2014-OuyedA #classification #kernel

Feature Relevance for Kernel Logistic Regression and Application to Action Classification (OO, MSA), pp. 1325–1329.

ICPR-2014-PerinaKB #array #classification #kernel #using

Expression Microarray Data Classification Using Counting Grids and Fisher Kernel (AP, MK, MB), pp. 1770–1775.

ICPR-2014-PistocchiCBFC #3d #classification #detection #kernel

Kernelized Structural Classification for 3D Dogs Body Parts Detection (SP, SC, SB, NF, RC), pp. 1993–1998.

ICPR-2014-QianZX #classification #multi #social

Boosted Multi-modal Supervised Latent Dirichlet Allocation for Social Event Classification (SQ, TZ, CX), pp. 1999–2004.

ICPR-2014-RahmaniMHM #classification #linear

Action Classification with Locality-Constrained Linear Coding (HR, AM, DQH, ASM), pp. 3511–3516.

ICPR-2014-RengarajanRA #classification #estimation #metric

Motion Estimation and Classification in Compressive Sensing from Dynamic Measurements (VR, ANR, RA), pp. 3475–3480.

ICPR-2014-RenYZH #classification #image #learning #nearest neighbour

Learning Convolutional Nonlinear Features for K Nearest Neighbor Image Classification (WR, YY, JZ, KH), pp. 4358–4363.

ICPR-2014-SamantaC #classification #using

Indian Classical Dance Classification on Manifold Using Jensen-Bregman LogDet Divergence (SS, BC), pp. 4507–4512.

ICPR-2014-SatoKSK #classification #learning #multi

Learning Multiple Complex Features Based on Classification Results (YS, KK, YS, MK), pp. 3369–3373.

ICPR-2014-SicreJ #classification #image

Discovering and Aligning Discriminative Mid-level Features for Image Classification (RS, FJ), pp. 1975–1980.

ICPR-2014-SlavkovikjVNHW #classification

Image-Based Road Type Classification (VS, SV, WDN, SVH, RVdW), pp. 2359–2364.

ICPR-2014-SousaSB #case study #classification #set

Time Series Transductive Classification on Imbalanced Data Sets: An Experimental Study (CARdS, VMAdS, GEAPAB), pp. 3780–3785.

ICPR-2014-SouzaSB #classification

Extracting Texture Features for Time Series Classification (VMAdS, DFS, GEAPAB), pp. 1425–1430.

ICPR-2014-TabiaV #3d #classification #using

3D Shape Classification Using Information Fusion (HT, NSV), pp. 297–302.

ICPR-2014-TerissiPG #classification #random #using

Lip Reading Using Wavelet-Based Features and Random Forests Classification (LDT, MP, JCG), pp. 791–796.

ICPR-2014-VilaltaGM #adaptation #classification

Domain Adaptation under Data Misalignment: An Application to Cepheid Variable Star Classification (RV, KDG, LM), pp. 3660–3665.

ICPR-2014-WangT #classification

Label-Denoising Auto-encoder for Classification with Inaccurate Supervision Information (DW, XT), pp. 3648–3653.

ICPR-2014-WenLWCW #classification #feature model #robust

Optimal Feature Selection for Robust Classification via l2, 1-Norms Regularization (JW, ZL, WKW, JC, MW), pp. 517–521.

ICPR-2014-Xiang0L #classification #hybrid #image

Local Hybrid Coding for Image Classification (WX, JW, ML), pp. 3744–3749.

ICPR-2014-XuSLPT #classification #video

Graphics and Scene Text Classification in Video (JX, PS, TL, TQP, CLT), pp. 4714–4719.

ICPR-2014-XuSLT #2d #3d #classification #video

2D and 3D Video Scene Text Classification (JX, PS, TL, CLT), pp. 2932–2937.

ICPR-2014-YamashitaW #classification #using

k-NN Classification of Handwritten Characters Using a New Distortion-Tolerant Matching Measure (YY, TW), pp. 262–267.

ICPR-2014-YangLTSG #classification

Shape-Based Classification of Environmental Microorganisms (CY, CL, OT, KS, MG), pp. 3374–3379.

ICPR-2014-YanHCCC #classification #representation

PLSA-Based Sparse Representation for Object Classification (YY, JWH, HFC, SCC, DYC), pp. 1295–1300.

ICPR-2014-YanSRLS #classification #interactive #learning #multi

Evaluating Multi-task Learning for Multi-view Head-Pose Classification in Interactive Environments (YY, RS, ER, OL, NS), pp. 4182–4187.

ICPR-2014-YiMHP #classification #invariant #locality #multi #process

Pose Invariant Activity Classification for Multi-floor Indoor Localization (SY, PWM, TKH, VP), pp. 3505–3510.

ICPR-2014-YinYPH #case study #classification #learning

Shallow Classification or Deep Learning: An Experimental Study (XCY, CY, WYP, HWH), pp. 1904–1909.

ICPR-2014-YuanT #algorithm #classification #image #multi

Multi-scale Tensor l1-Based Algorithm for Hyperspectral Image Classification (HY, YYT), pp. 1383–1388.

ICPR-2014-ZhangQWL #classification #learning #online

Object Classification in Traffic Scene Surveillance Based on Online Semi-supervised Active Learning (ZZ, JQ, YW, ML), pp. 3086–3091.

ICPR-2014-ZhaoSJ #classification #markov

Coupled Hidden Markov Model for Electrocorticographic Signal Classification (RZ, GS, QJ), pp. 1858–1862.

ICPR-2014-ZhuYCTJYZ #adaptation #classification #hybrid

A Noise-Robust Adaptive Hybrid Pattern for Texture Classification (ZZ, XY, CLPC, DT, XJ, FY, JZ), pp. 1633–1638.

KDD-2014-Aggarwal #classification #problem

The setwise stream classification problem (CCA), pp. 432–441.

KDD-2014-ChenCW #classification #performance #scalability

Fast flux discriminant for large-scale sparse nonlinear classification (WC, YC, KQW), pp. 621–630.

KDD-2014-TsaiLL #classification #incremental #linear

Incremental and decremental training for linear classification (CHT, CYL, CJL), pp. 343–352.

KDD-2014-VasishtDVK #classification #learning #multi

Active learning for sparse bayesian multilabel classification (DV, ACD, MV, AK), pp. 472–481.

KDD-2014-ZhouL #classification #mining #multi #network

Activity-edge centric multi-label classification for mining heterogeneous information networks (YZ, LL), pp. 1276–1285.

KDIR-2014-AbdallahI #classification #modelling #n-gram #using #web

URL-based Web Page Classification — A New Method for URL-based Web Page Classification Using n-Gram Language Models (TAA, BdlI), pp. 14–21.

KDIR-2014-AlahmadiJM #classification #concept #representation #using

Arabic Text Classification using Bag-of-Concepts Representation (AA, AJ, AEM), pp. 374–380.

KDIR-2014-DomeniconiMPS #category theory #classification

Cross-domain Text Classification through Iterative Refining of Target Categories Representations (GD, GM, RP, CS), pp. 31–42.

KDIR-2014-HafethAC #analysis #case study #classification

Text Analysis of User-Generated Contents for Health-care Applications — Case Study on Smoking Status Classification (DAH, AA, DC), pp. 242–249.

KDIR-2014-LiuF #analysis #classification #sentiment #topic #web

Web Content Classification based on Topic and Sentiment Analysis of Text (SL, TF), pp. 300–307.

KDIR-2014-LiuF14a #analysis #classification #n-gram #sentiment #similarity #web

Combining N-gram based Similarity Analysis with Sentiment Analysis in Web Content Classification (SL, TF), pp. 530–537.

KDIR-2014-OliveiraBSC #automation #classification #clustering #twitter

Combining Clustering and Classification Approaches for Reducing the Effort of Automatic Tweets Classification (EO, HGB, MRS, PMC), pp. 465–472.

KDIR-2014-SatoNS #classification #kernel #using

A Simple Classification Method for Class Imbalanced Data using the Kernel Mean (YS, KN, AS), pp. 327–334.

KDIR-2014-TisserantRP #classification #mining #semantics #statistics #twitter

Mining Tweet Data — Statistic and Semantic Information for Political Tweet Classification (GT, MR, VP), pp. 523–529.

KEOD-2014-TriantafyllouA #classification

Definition and Classification of Primitives for the Robotic Unfolding of a Piece of Clothing (DT, NAA), pp. 417–422.

KMIS-2014-AngiusCMPS #classification #semantics #social #web

Classification and Indexing of Web Content Based on a Model of Semantic Social Bookmarking (AA, GC, DM, FEP, GS), pp. 313–318.

KMIS-2014-DinsoreanuB #classification #sentiment #twitter

Unsupervised Twitter Sentiment Classification (MD, AB), pp. 220–227.

MLDM-2014-AlbarrakCZ #classification #image #taxonomy

Dictionary Learning-Based Volumetric Image Classification for the Diagnosis of Age-Related Macular Degeneration (AA, FC, YZ), pp. 272–284.

MLDM-2014-AlshdaifatCD #classification #multi

A Multi-path Strategy for Hierarchical Ensemble Classification (EA, FC, KD), pp. 198–212.

MLDM-2014-AnanpiriyakulPV #classification #multi

Label Correction Strategy on Hierarchical Multi-Label Classification (TA, PP, PV), pp. 213–227.

MLDM-2014-MaliarskyAH #classification

A Neuro-Genetic System for Cardiac Arrhythmia Classification (EM, MA, MH), pp. 343–360.

MLDM-2014-Manzanilla-SalazarEG #classification #clustering #fault

Minimizing Cluster Errors in LP-Based Nonlinear Classification (OMS, JEK, UMGP), pp. 163–174.

MLDM-2014-MountassirBB #algorithm #classification #documentation #representation

The Nearest Centroid Based on Vector Norms: A New Classification Algorithm for a New Document Representation Model (AM, HB, IB), pp. 442–456.

MLDM-2014-PirasG #classification #generative #image #roadmap

Open Issues on Codebook Generation in Image Classification Tasks (LP, GG), pp. 328–342.

MLDM-2014-Schafer #classification #preprocessor #towards

Towards Time Series Classification without Human Preprocessing (PS), pp. 228–242.

MLDM-2014-UtkinZC #classification #data-driven #database #robust

A Robust One-Class Classification Model with Interval-Valued Data Based on Belief Functions and Minimax Strategy (LVU, YAZ, AIC), pp. 107–118.

MLDM-2014-WaiyamaiKSR #classification #concept #data type #named

ACCD: Associative Classification over Concept-Drifting Data Streams (KW, TK, BS, TR), pp. 78–90.

MLDM-2014-WaiyamaiS #approach #classification #dataset

A Cost-Sensitive Based Approach for Improving Associative Classification on Imbalanced Datasets (KW, PS), pp. 31–42.

SEKE-2014-WangKN #classification #fault #metric #performance #predict

Choosing the Best Classification Performance Metric for Wrapper-based Software Metric Selection for Defect Prediction (HW, TMK, AN), pp. 540–545.

SIGIR-2014-BabbarPGA #approach #classification #distributed #ranking #scalability

Re-ranking approach to classification in large-scale power-law distributed category systems (RB, IP, ÉG, MRA), pp. 1059–1062.

SIGIR-2014-BingGLNW #classification #predict #segmentation #web

Web page segmentation with structured prediction and its application in web page classification (LB, RG, WL, ZYN, HW), pp. 767–776.

SIGIR-2014-HingmireC #approach #classification #topic

Topic labeled text classification: a weakly supervised approach (SH, SC), pp. 385–394.

SIGIR-2014-LiWRM #classification #interactive #named #query #retrieval

ReQ-ReC: high recall retrieval with query pooling and interactive classification (CL, YW, PR, QM), pp. 163–172.

SIGIR-2014-RenPLDR #classification #multi #social

Hierarchical multi-label classification of social text streams (ZR, MHP, SL, WvD, MdR), pp. 213–222.

SIGIR-2014-ZhangZ0LM #bibliography #classification #sentiment

Do users rate or review?: boost phrase-level sentiment labeling with review-level sentiment classification (YZ, HZ, MZ, YL, SM), pp. 1027–1030.

MoDELS-2014-GomesBA #classification #model transformation #pattern matching #tool support

Classification of Model Transformation Tools: Pattern Matching Techniques (CG, BB, VA), pp. 619–635.

MoDELS-2014-GomesBA #classification #model transformation #pattern matching #tool support

Classification of Model Transformation Tools: Pattern Matching Techniques (CG, BB, VA), pp. 619–635.

SAC-2014-ChoiSP #2d #classification #correlation #distance #image #matrix

Matrix correlation distance for 2D image classification (HC, JS, HP), pp. 1741–1742.

SAC-2014-OmatuY #classification #smell #using

Smell classification using weakly responding data (SO, MY), pp. 213–214.

SAC-2014-RossiLR #algorithm #classification #network #using

A parameter-free label propagation algorithm using bipartite heterogeneous networks for text classification (RGR, AAL, SOR), pp. 79–84.

SAC-2014-SeelandMKK #classification

Extracting information from support vector machines for pattern-based classification (MS, AM, AK, SK), pp. 129–136.

SAC-2014-SpiegelJA #classification #distance #performance

Fast time series classification under lucky time warping distance (SS, BJJ, SA), pp. 71–78.

SAC-2014-ZangerleS #classification #quote #twitter

“Sorry, I was hacked”: a classification of compromised twitter accounts (EZ, GS), pp. 587–593.

LICS-CSL-2014-ChenM #classification #complexity #graph #query

One hierarchy spawns another: graph deconstructions and the complexity classification of conjunctive queries (HC, MM), p. 10.

ECSA-2013-MiesbauerW #bibliography #classification #design

Classification of Design Decisions — An Expert Survey in Practice (CM, RW), pp. 130–145.

ASE-2013-NguyenT #automation #classification #combinator #dependence #testing

Automated inference of classifications and dependencies for combinatorial testing (DCN, PT), pp. 622–627.

DAC-2013-YuLJC #classification #detection #feature model #using

Machine-learning-based hotspot detection using topological classification and critical feature extraction (YTY, GHL, IHRJ, CC), p. 6.

DATE-2013-BraojosAA #classification #embedded #random #using

A methodology for embedded classification of heartbeats using random projections (RB, GA, DA), pp. 899–904.

DocEng-2013-VilaresAG #classification #twitter

Supervised polarity classification of Spanish tweets based on linguistic knowledge (DV, MAA, CGR), pp. 169–172.

DRR-2013-AriesON #algorithm #automation #classification #clustering #summary #using

Using clustering and a modified classification algorithm for automatic text summarization (AA, HO, ON).

DRR-2013-VasilopoulosK #classification

A classification-free word-spotting system (NV, EK).

HT-2013-CanoVRCH #classification #social #social media #topic

Harnessing linked knowledge sources for topic classification in social media (AEC, AV, MR, FC, YH), pp. 41–50.

HT-2013-RoutBPC #approach #classification #social

Where’s @wally?: a classification approach to geolocating users based on their social ties (DPR, KB, DPP, TC), pp. 11–20.

ICDAR-2013-AlvaroSB #classification #hybrid #network #online

Classification of On-Line Mathematical Symbols with Hybrid Features and Recurrent Neural Networks (FA, JAS, JMB), pp. 1012–1016.

ICDAR-2013-BougueliaBB #approach #classification #documentation #learning

A Stream-Based Semi-supervised Active Learning Approach for Document Classification (MRB, YB, AB), pp. 611–615.

ICDAR-2013-CecottiV #classification #multi #recognition

Rejection Schemes in Multi-class Classification — Application to Handwritten Character Recognition (HC, SV), pp. 445–449.

ICDAR-2013-ChengSAT #classification #data fusion #image #using #visual notation

Graphical Figure Classification Using Data Fusion for Integrating Text and Image Features (BC, RJS, SA, GRT), pp. 693–697.

ICDAR-2013-GordoRKB #classification #documentation #segmentation

Document Classification and Page Stream Segmentation for Digital Mailroom Applications (AG, MR, DK, ADB), pp. 621–625.

ICDAR-2013-HoRRES #approach #classification #documentation

Document Classification in a Non-stationary Environment: A One-Class SVM Approach (AKNH, NR, JYR, VE, NS), pp. 616–620.

ICDAR-2013-ImpedovoMPBI #classification #effectiveness #performance

Voronoi Tessellation for Effective and Efficient Handwritten Digit Classification (SI, FMM, GP, DB, DI), pp. 435–439.

ICDAR-2013-KumarD #classification #documentation #image

Unsupervised Classification of Structurally Similar Document Images (JK, DSD), pp. 1225–1229.

ICDAR-2013-LuoOWK #approach #automation #classification #using

Automatic Chinese Text Classification Using Character-Based and Word-Based Approach (XL, WO, TW, FK), pp. 329–333.

ICDAR-2013-Siriteerakul #classification

Mixed Thai-English Character Classification Based on Histogram of Oriented Gradient Feature (TS), pp. 847–851.

ICDAR-2013-SuTLDT #classification #documentation #image #learning #representation

Self Learning Classification for Degraded Document Images by Sparse Representation (BS, ST, SL, TAD, CLT), pp. 155–159.

ICDAR-2013-YuEC #classification #online

Mental Workload Classification via Online Writing Features (KY, JE, FC), pp. 1110–1114.

PODS-2013-ChenM #classification #complexity #query

The fine classification of conjunctive queries and parameterized logarithmic space complexity (HC, MM), pp. 309–320.

VLDB-2013-GattaniLGTCDSRHD #approach #classification #social #social media

Entity Extraction, Linking, Classification, and Tagging for Social Media: A Wikipedia-Based Approach (AG, DSL, NG, MT, XC, SD, SS, AR, VH, AD), pp. 1126–1137.

ICSM-2013-YukselS #analysis #automation #case study #classification

Automated Classification of Static Code Analysis Alerts: A Case Study (UY, HS), pp. 532–535.

CHI-2013-WarrenLVG #classification #flexibility #gesture

Bending the rules: bend gesture classification for flexible displays (KW, JL, VV, AG), pp. 607–610.

HCI-AMTE-2013-MayasHK #classification #diagrams #process

Extending the Information of Activity Diagrams with a User Input Classification (CM, SH, HK), pp. 391–400.

HCI-III-2013-BockLSWW #automation #classification

Audio-Based Pre-classification for Semi-automatic Facial Expression Coding (RB, KLE, IS, SW, AW), pp. 301–309.

HCI-III-2013-RukavinaGTHWTJ #automation #classification #gender

The Impact of Gender and Sexual Hormones on Automated Psychobiological Emotion Classification (SR, SG, JWT, DH, SW, HCT, LJB), pp. 474–482.

HCI-III-2013-YinTWDWZ #classification #image

Classification Based on LBP and SVM for Human Embryo Microscope Images (YbY, YT, WW, FD, ZW, MZ), pp. 280–288.

HIMI-D-2013-YanagimotoSY #classification #estimation #network #sentiment #using #word

Word Classification for Sentiment Polarity Estimation Using Neural Network (HY, MS, AY), pp. 669–677.

HIMI-LCCB-2013-TachizawaOM #automation #bibliography #classification

An Automatic Classification of Product Review into Given Viewpoints (YT, MO, HM), pp. 598–606.

OCSC-2013-YuanOXS #bibliography #classification #sentiment #using #web

Sentiment Classification of Web Review Using Association Rules (MY, YO, ZX, HS), pp. 442–450.

ICEIS-v1-2013-CazzolatoRYS #algorithm #classification #data type #statistics

A Statistical Decision Tree Algorithm for Data Stream Classification (MTC, MXR, CAY, MTPS), pp. 217–223.

ICEIS-v1-2013-MoritaN #classification #using

Classification Model using Contrast Patterns (HM, MN), pp. 334–339.

ICEIS-v1-2013-QasimR #analysis #classification #evaluation #linear #using

Classification of Hepatitis Patients and Fibrosis Evaluation using Decision Trees and Linear Discriminant Analysis (RQ, RMR), pp. 239–246.

CIKM-2013-BagdouriWLO #classification #towards

Towards minimizing the annotation cost of certified text classification (MB, WW, DDL, DWO), pp. 989–998.

CIKM-2013-BaoCD #classification #topic

A partially supervised cross-collection topic model for cross-domain text classification (YB, NC, AD), pp. 239–248.

CIKM-2013-ChanYTDZW #categorisation #classification #community #kernel #topic

Community question topic categorization via hierarchical kernelized classification (WC, WY, JT, JD, XZ, WW), pp. 959–968.

CIKM-2013-ChenW #classification #learning #scalability

Cost-sensitive learning for large-scale hierarchical classification (JC, DW), pp. 1351–1360.

CIKM-2013-GuoZ #classification #comprehension #empirical #graph #perspective

Understanding the roles of sub-graph features for graph classification: an empirical study perspective (TG, XZ), pp. 817–822.

CIKM-2013-HachenbergG #classification #clustering #documentation #locality #scalability #web

Locality sensitive hashing for scalable structural classification and clustering of web documents (CH, TG), pp. 359–368.

CIKM-2013-McDowellA #classification #network

Labels or attributes?: rethinking the neighbors for collective classification in sparsely-labeled networks (LM, DWA), pp. 847–852.

CIKM-2013-ZhangJSCDZ #classification #detection

Short text classification by detecting information path (SZ, XJ, DS, BC, XD, XZ), pp. 727–732.

ECIR-2013-ErmakovE #classification #sentiment

Sentiment Classification Based on Phonetic Characteristics (SE, LE), pp. 706–709.

ECIR-2013-FuNZWJZ #classification

Classification of Opinion Questions (HF, ZN, CZ, LW, PJ, JZ), pp. 714–717.

ECIR-2013-JeongM #classification #dependence #recognition #using

Using WordNet Hypernyms and Dependency Features for Phrasal-Level Event Recognition and Type Classification (YJ, SHM), pp. 267–278.

ECIR-2013-JuM #classification #incremental #ranking

Incremental Reranking for Hierarchical Text Classification (QJ, AM), pp. 726–729.

ECIR-2013-JuMJ #classification #learning #rank

Learning to Rank from Structures in Hierarchical Text Classification (QJ, AM, RJ), pp. 183–194.

ECIR-2013-NeshatiAHB #classification #network #social

A Joint Classification Method to Integrate Scientific and Social Networks (MN, EA, DH, HB), pp. 122–133.

ECIR-2013-NguyenTT #classification #learning #rank #using

Folktale Classification Using Learning to Rank (DN, DT, MT), pp. 195–206.

ECIR-2013-PritsosS #automation #classification #identification

Open-Set Classification for Automated Genre Identification (DAP, ES), pp. 207–217.

ICML-c1-2013-ChevaleyreKZ #classification #linear

Rounding Methods for Discrete Linear Classification (YC, FK, JDZ), pp. 651–659.

ICML-c1-2013-HoJV #adaptation #classification #crowdsourcing

Adaptive Task Assignment for Crowdsourced Classification (CJH, SJ, JWV), pp. 534–542.

ICML-c1-2013-KolarL #classification #feature model

Feature Selection in High-Dimensional Classification (MK, HL), pp. 329–337.

ICML-c1-2013-PeleTGW #classification #performance

The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification (OP, BT, AG, MW), pp. 205–213.

ICML-c1-2013-TorkamaniL #classification

Convex Adversarial Collective Classification (MT, DL), pp. 642–650.

ICML-c2-2013-YangH #classification #learning

Activized Learning with Uniform Classification Noise (LY, SH), pp. 370–378.

ICML-c3-2013-BaktashmotlaghHBLS #analysis #classification #video

Non-Linear Stationary Subspace Analysis with Application to Video Classification (MB, MTH, AB, BCL, MS), pp. 450–458.

ICML-c3-2013-BiK #classification #multi #performance

Efficient Multi-label Classification with Many Labels (WB, JTYK), pp. 405–413.

ICML-c3-2013-CortesMR #classification #kernel #multi

Multi-Class Classification with Maximum Margin Multiple Kernel (CC, MM, AR), pp. 46–54.

ICML-c3-2013-DembczynskiJKWH #approach #classification #multi #optimisation #plugin

Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization (KD, AJ, WK, WW, EH), pp. 1130–1138.

ICML-c3-2013-LongS #classification #consistency #multi

Consistency versus Realizable H-Consistency for Multiclass Classification (PML, RAS), pp. 801–809.

ICML-c3-2013-MenonNAC #algorithm #classification #consistency #on the #statistics

On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance (AKM, HN, SA, SC), pp. 603–611.

ICML-c3-2013-NguyenS #algorithm #classification #optimisation

Algorithms for Direct 0-1 Loss Optimization in Binary Classification (TN, SS), pp. 1085–1093.

ICML-c3-2013-PiresSG #bound #classification #multi

Cost-sensitive Multiclass Classification Risk Bounds (BAP, CS, MG), pp. 1391–1399.

KDD-2013-GopalY #classification #dependence #recursion #scalability #visual notation

Recursive regularization for large-scale classification with hierarchical and graphical dependencies (SG, YY), pp. 257–265.

KDD-2013-GuALH #classification #graph

Selective sampling on graphs for classification (QG, CCA, JL, JH), pp. 131–139.

KDD-2013-KongCY #classification #correlation #mining #multi #network

Multi-label classification by mining label and instance correlations from heterogeneous information networks (XK, BC, PSY), pp. 614–622.

KDD-2013-KongY #automation #classification #distance #learning

Discriminant malware distance learning on structural information for automated malware classification (DK, GY), pp. 1357–1365.

KDD-2013-SongLLY #classification #collaboration #microblog #process

Collaborative boosting for activity classification in microblogs (YS, ZL, CWkL, QY), pp. 482–490.

KDD-2013-ThorntonHHL #algorithm #classification #named #optimisation

Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms (CT, FH, HHH, KLB), pp. 847–855.

KDD-2013-WangS #classification #multi #relational #social #using

Multi-label relational neighbor classification using social context features (XW, GS), pp. 464–472.

KDD-2013-YenCLLL #classification #coordination #linear #memory management #scalability

Indexed block coordinate descent for large-scale linear classification with limited memory (IEHY, CFC, TWL, SWL, SDL), pp. 248–256.

KDIR-KMIS-2013-AlwazaePK #classification #verification

Verifying the Usefulness of a Classification System of Best Practices (MMSA, EP, HK), pp. 405–412.

KDIR-KMIS-2013-CheetiSC #adaptation #approach #classification #naive bayes #sentiment #syntax #using

Cross-domain Sentiment Classification using an Adapted Naïve Bayes Approach and Features Derived from Syntax Trees (SC, AS, DC), pp. 169–176.

KEOD-2013-CostaFML #approach #classification #information management #ontology #using

Classification of Knowledge Representations using an Ontology-based Approach (RC, PF, PMNM, CL), pp. 184–191.

MLDM-2013-CastroSAE #automation #classification #database #using #web

Automatic Classification of Web Databases Using Domain-Dictionaries (HMMC, VJSS, ILA, HJEB), pp. 340–351.

MLDM-2013-DincA #classification #evaluation #image #random #using

Evaluation of Hyperspectral Image Classification Using Random Forest and Fukunaga-Koontz Transform (SD, RSA), pp. 234–245.

MLDM-2013-DoanDP #classification #scalability #visual notation

Large Scale Visual Classification with Many Classes (TND, TND, FP), pp. 629–643.

MLDM-2013-EichelbergerS #classification #empirical #multi

An Empirical Study of Reducing Multiclass Classification Methodologies (RKE, VSS), pp. 505–519.

MLDM-2013-KokkulaM #classification #detection #synthesis #topic

Classification and Outlier Detection Based on Topic Based Pattern Synthesis (SK, NMM), pp. 99–114.

MLDM-2013-PrieditisL #bound #classification #performance #problem #using

When Classification becomes a Problem: Using Branch-and-Bound to Improve Classification Efficiency (AP, ML), pp. 466–480.

MLDM-2013-SappP #classification #clustering #predict

Accuracy-Based Classification EM: Combining Clustering with Prediction (SS, AP), pp. 458–465.

MLDM-2013-SigdelA #assessment #classification #correlation #named

Pacc — A Discriminative and Accuracy Correlated Measure for Assessment of Classification Results (MS, RSA), pp. 281–295.

MLDM-2013-Suthaharan #big data #classification #network

A Single-Domain, Representation-Learning Model for Big Data Classification of Network Intrusion (SS), pp. 296–310.

MLDM-2013-VavreckaL #classification #feature model

EEG Feature Selection Based on Time Series Classification (MV, LL), pp. 520–527.

SEKE-2013-AlviD #classification #fuzzy #image #using

Image Steganography Using Fuzzy Domain Transformation and Pixel Classification (AKA, RD), pp. 277–282.

SIGIR-2013-BalogR #classification #cumulative #ranking #recommendation

Cumulative citation recommendation: classification vs. ranking (KB, HR), pp. 941–944.

SIGIR-2013-HingmireCPC #classification #documentation #topic

Document classification by topic labeling (SH, SC, GKP, SC), pp. 877–880.

SIGIR-2013-YamamotoN #classification #music #video

Leveraging viewer comments for mood classification of music video clips (TY, SN), pp. 797–800.

SAC-2013-AkritidisB #algorithm #classification #machine learning #research

A supervised machine learning classification algorithm for research articles (LA, PB), pp. 115–120.

SAC-2013-BifetPRH #adaptation #classification #data type #performance #probability

Efficient data stream classification via probabilistic adaptive windows (AB, BP, JR, GH), pp. 801–806.

SAC-2013-PapadakisT #classification #mutation testing #testing #using

Mutation testing strategies using mutant classification (MP, YLT), pp. 1223–1229.

ICST-2013-NairVSB #assessment #bibliography #classification #perspective #safety

Classification, Structuring, and Assessment of Evidence for Safety — A Systematic Literature Review (SN, JLdlV, MS, LCB), pp. 94–103.

DAC-2012-GuoYSCZ #classification #distance #metric

Improved tangent space based distance metric for accurate lithographic hotspot classification (JG, FY, SS, CC, XZ), pp. 1173–1178.

DATE-2012-ParkKSNI #classification

An FPGA-based accelerator for cortical object classification (MSP, SK, JS, VN, MJI), pp. 691–696.

DocEng-2012-KimHKL #classification #library

Scientific table type classification in digital library (SK, KH, SYK, YL), pp. 133–136.

DRR-2012-ChengWAST #algorithm #classification #image #optimisation #visual notation

Graphical image classification combining an evolutionary algorithm and binary particle swarm optimization (BC, RW, SA, RJS, GRT).

DRR-2012-Obafemi-AjayiAX #classification #documentation

Ensemble methods with simple features for document zone classification (TOA, GA, BX).

DRR-2012-RamaiahKG #classification #documentation

Handwritten document age classification based on handwriting styles (CR, GK, VG).

PODS-2012-KostylevRS #classification #query

Classification of annotation semirings over query containment (EVK, JLR, AZS), pp. 237–248.

FASE-2012-MahouachiKG #classification #design #detection #fault

A New Design Defects Classification: Marrying Detection and Correction (RM, MK, KG), pp. 455–470.

FASE-2012-MauczkaHSSBG #automation #classification #commit #maintenance #taxonomy #validation

Tracing Your Maintenance Work — A Cross-Project Validation of an Automated Classification Dictionary for Commit Messages (AM, MH, CS, WS, MB, TG), pp. 301–315.

ICSM-2012-PrasetyoLATL #automation #classification #microblog

Automatic classification of software related microblogs (PKP, DL, PA, YT, EPL), pp. 596–599.

WCRE-2012-TianLS #classification #debugging #fine-grained #information retrieval #nearest neighbour #predict

Information Retrieval Based Nearest Neighbor Classification for Fine-Grained Bug Severity Prediction (YT, DL, CS), pp. 215–224.

CSCW-2012-ChoudhuryDN #category theory #classification #twitter

Unfolding the event landscape on twitter: classification and exploration of user categories (MDC, ND, MN), pp. 241–244.

AdaEurope-2012-PoonCT #classification

Choices, Choices: Comparing between CHOC’LATE and the Classification-Tree Methodology (PLP, TYC, THT), pp. 162–176.

ICEIS-v3-2012-HamadaASO #classification #documentation #taxonomy #using

A Classification Method of Open-ended Questionnaires using Category-based Dictionary from Sampled Documents (KH, MA, MS, HO), pp. 193–198.

ICEIS-v3-2012-TsudaASO #automation #classification

A Classification Method of Inquiry e-Mails for Describing FAQ with Automatic Setting Mechanism of Judgment Threshold Values (YT, MA, MS, HO), pp. 199–205.

CIKM-2012-AwadallahRW #classification #named

PolariCQ: polarity classification of political quotations (RA, MR, GW), pp. 1945–1949.

CIKM-2012-BabbarPGA #classification #empirical #on the #scalability #trade-off

On empirical tradeoffs in large scale hierarchical classification (RB, IP, ÉG, CA), pp. 2299–2302.

CIKM-2012-BaeK #classification #effectiveness #recommendation

An effective category classification method based on a language model for question category recommendation on a cQA service (KB, YK), pp. 2255–2258.

CIKM-2012-ChengZXAC #classification #learning #on the

On active learning in hierarchical classification (YC, KZ, YX, AA, ANC), pp. 2467–2470.

CIKM-2012-ChenW #automation #classification #naive bayes

Automated feature weighting in naive bayes for high-dimensional data classification (LC, SW), pp. 1243–1252.

CIKM-2012-ChuaCBL #classification #twitter

Community-based classification of noun phrases in twitter (FCTC, WWC, JB, EPL), pp. 1702–1706.

CIKM-2012-DuanWZS #classification #graph #twitter

Graph-based collective classification for tweets (YD, FW, MZ, HYS), pp. 2323–2326.

CIKM-2012-FukumotoYMS #classification #documentation

Text classification with relatively small positive documents and unlabeled data (FF, TY, SM, YS), pp. 2315–2318.

CIKM-2012-JuLSZHL #classification #documentation #sentiment #word

Dual word and document seed selection for semi-supervised sentiment classification (SJ, SL, YS, GZ, YH, XL), pp. 2295–2298.

CIKM-2012-KongYDW #classification #network

Meta path-based collective classification in heterogeneous information networks (XK, PSY, YD, DJW), pp. 1567–1571.

CIKM-2012-LiangZ #classification #performance

An efficient and simple under-sampling technique for imbalanced time series classification (GL, CZ), pp. 2339–2342.

CIKM-2012-LongCZZ #classification #named #using

TCSST: transfer classification of short & sparse text using external data (GL, LC, XZ, CZ), pp. 764–772.

CIKM-2012-TakemuraT #classification #twitter

Tweet classification based on their lifetime duration (HT, KT), pp. 2367–2370.

CIKM-2012-XuXLW #classification

Coarse-to-fine sentence-level emotion classification based on the intra-sentence features and sentential context (JX, RX, QL, XW), pp. 2455–2458.

CIKM-2012-YaoS12a #classification #web

A tag-centric discriminative model for web objects classification (LY, QZS), pp. 2247–2250.

CIKM-2012-ZerrSH #classification #exclamation #image #privacy #retrieval

PicAlert!: a system for privacy-aware image classification and retrieval (SZ, SS, JSH), pp. 2710–2712.

CIKM-2012-ZhuCCXT #classification #information management #mobile

Exploiting enriched contextual information for mobile app classification (HZ, HC, EC, HX, JT), pp. 1617–1621.

CIKM-2012-ZhuYCQ #approach #classification #feature model #graph

Graph classification: a diversified discriminative feature selection approach (YZ, JXY, HC, LQ), pp. 205–214.

CIKM-2012-ZhuZYGX #classification #parallel

Parallel proximal support vector machine for high-dimensional pattern classification (ZZ, XZ, YY, YFG, XX), pp. 2351–2354.

ECIR-2012-DasMG #classification #identification #topic

Phrase Pair Classification for Identifying Subtopics (SD, PM, CLG), pp. 489–493.

ECIR-2012-Martinez-AlvarezYR #automation #classification #documentation

Semi-automatic Document Classification: Exploiting Document Difficulty (MMA, SY, TR), pp. 468–471.

ECIR-2012-VitaleFS #classification #topic

Classification of Short Texts by Deploying Topical Annotations (DV, PF, US), pp. 376–387.

ICML-2012-BelletHS #classification #learning #linear #similarity

Similarity Learning for Provably Accurate Sparse Linear Classification (AB, AH, MS), p. 193.

ICML-2012-Busa-FeketeBK #classification #graph #performance #using

Fast classification using sparse decision DAGs (RBF, DB, BK), p. 99.

ICML-2012-DenchevDVN #classification #optimisation #quantum #robust

Robust Classification with Adiabatic Quantum Optimization (VSD, ND, SVNV, HN), p. 131.

ICML-2012-GuoX #classification #learning #multi

Cross Language Text Classification via Subspace Co-regularized Multi-view Learning (YG, MX), p. 120.

ICML-2012-KumarNKD #classification #framework #kernel #learning #multi

A Binary Classification Framework for Two-Stage Multiple Kernel Learning (AK, ANM, KK, HDI), p. 173.

ICML-2012-McDowellA #classification #hybrid

Semi-Supervised Collective Classification via Hybrid Label Regularization (LM, DWA), p. 162.

ICML-2012-MorvantKR #bound #classification #matrix #multi

PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification (EM, SK, LR), p. 158.

ICML-2012-TakedaMK #classification #robust

A Unified Robust Classification Model (AT, HM, TK), p. 71.

ICPR-2012-0007B #classification #feature model #image #kernel #multi

Multiple local kernel integrated feature selection for image classification (YS, BB), pp. 2230–2233.

ICPR-2012-AliGBPNP #biology #classification #using

Classification of biological cells using bio-inspired descriptors (WBHA, DG, MB, PP, RN, TP), pp. 3353–3357.

ICPR-2012-AroraE #automation #case study #classification #comparative #towards

Towards automated classification of fine-art painting style: A comparative study (RSA, AME), pp. 3541–3544.

ICPR-2012-AryafarJS #automation #classification #using

Automatic musical genre classification using sparsity-eager support vector machines (KA, SJ, AS), pp. 1526–1529.

ICPR-2012-BaiXP #classification #image

Classification oriented semi-supervised band selection for hyperspectral images (JB, SX, CP), pp. 1888–1891.

ICPR-2012-BattiatoFGP #classification #modelling

Aligning Bags of Shape Contexts for Blurred Shape Model based symbol classification (SB, GMF, OG, GP), pp. 1598–1601.

ICPR-2012-BespalovQBS #classification #image #scalability #using

Large-scale image classification using supervised spatial encoder (DB, YQ, BB, AS), pp. 581–584.

ICPR-2012-CataldoBFM #classification #image

Applying textural features to the classification of HEp-2 cell patterns in IIF images (SDC, AB, EF, EM), pp. 3349–3352.

ICPR-2012-ChangrampadiYG #classification #image #multi #visual notation

Multi-class ada-boost classification of object poses through visual and infrared image information fusion (MHC, YY, IYHG), pp. 2865–2868.

ICPR-2012-ChenCZ #classification #clique #representation

Object clique representation for scene classification (JC, XC, BZ), pp. 2829–2832.

ICPR-2012-ChenH0N #classification #documentation

Structured document classification by matching local salient features (SC, YH, JS, SN), pp. 653–656.

ICPR-2012-CourtyAL #approach #classification #image

A classwise supervised ordering approach for morphology based hyperspectral image classification (NC, EA, SL), pp. 1997–2000.

ICPR-2012-DubrovinaKFSB #classification #image #performance #robust #user interface

Efficient and robust image descriptor for GUI object classification (AD, PK, DF, SS, RB), pp. 3594–3597.

ICPR-2012-DufourZWK #classification

Classification of drusen positions in optical coherence tomography data from patients with age-related macular degeneration (PAD, SDZ, UWS, JK), pp. 2067–2070.

ICPR-2012-ErsoyBPP #classification #image #using

HEp-2 cell classification in IIF images using Shareboost (IE, FB, JP, KP), pp. 3362–3365.

ICPR-2012-GhoshC #analysis #automation #classification

Feature analysis for automatic classification of HEp-2 florescence patterns : Computer-Aided Diagnosis of Auto-immune diseases (SG, VC), pp. 174–177.

ICPR-2012-GonfausGGRG #classification #geometry #using

Edge classification using photo-geometric features (JMG, TG, AG, FXR, JG), pp. 1497–1500.

ICPR-2012-GujraniyaM #classification #modelling #performance #topic #using

Efficient classification using phrases generated by topic models (DG, MNM), pp. 2331–2334.

ICPR-2012-GuoRM #classification #representation #similarity

Similarity weighted sparse representation for classification (SG, QR, ZM), pp. 1241–1244.

ICPR-2012-HanQC #adaptation #classification #image #representation

Group sparse representation of adaptive sub-domain selection for image classification (XHH, XQ, YWC), pp. 1431–1434.

ICPR-2012-JensenED #classification #feature model

Classification of kinematic golf putt data with emphasis on feature selection (UJ, BE, FD), pp. 1735–1738.

ICPR-2012-JoshiDGBP #analysis #classification

Neural-net classification for spatio-temporal descriptor based depression analysis (JJ, AD, RG, MB, GP), pp. 2634–2638.

ICPR-2012-KafaiBA #classification #clustering #estimation #network

Cluster-Classification Bayesian Networks for head pose estimation (MK, BB, LA), pp. 2869–2872.

ICPR-2012-KalkanNDL #automation #classification

Automated classification of local patches in colon histopathology (HK, MN, RPWD, ML), pp. 61–64.

ICPR-2012-KangLXP #classification #kernel #representation

Kernel Homotopy based sparse representation for object classification (CK, SL, SX, CP), pp. 1479–1482.

ICPR-2012-KimP #classification #rating #visual notation

Attribute rating for classification of visual objects (JK, VP), pp. 1611–1614.

ICPR-2012-KockelkornSGRJVRSG #classification #interactive #simulation

Interactive classification of lung tissue in CT scans by combining prior and interactively obtained training data: A simulation study (TTJPK, CIS, JCG, RR, PAdJ, MAV, JR, CSP, BvG), pp. 105–108.

ICPR-2012-KumarYD #classification #documentation #learning #retrieval

Learning document structure for retrieval and classification (JK, PY, DSD), pp. 1558–1561.

ICPR-2012-LiDL #classification #image #multi

Combining multi-scale dissimilarities for image classification (YL, RPWD, ML), pp. 1639–1642.

ICPR-2012-LiPMH #classification #email #incremental #learning #using

Business email classification using incremental subspace learning (ML, YP, RM, HYH), pp. 625–628.

ICPR-2012-LiuJSET #classification #image #segmentation

Watershed merge tree classification for electron microscopy image segmentation (TL, EJ, MS, MHE, TT), pp. 133–137.

ICPR-2012-LiuWXZS #classification

Soft-signed sparse coding for ground-based cloud classification (SL, CW, BX, ZZ, YS), pp. 2214–2217.

ICPR-2012-LiuXFLMK #classification #modelling #multi #statistics

Statistical modeling and signal selection in multivariate time series pattern classification (RL, SX, CF, YwL, YLM, DSK), pp. 2853–2856.

ICPR-2012-LiYLKZL #classification #multi #using

Multiclass boosting SVM using different texture features in HEp-2 cell staining pattern classification (KL, JY, ZL, XK, RZ, WL), pp. 170–173.

ICPR-2012-Lotte #classification

A new feature and associated optimal spatial filter for EEG signal classification: Waveform Length (FL), pp. 1302–1305.

ICPR-2012-LuLY #adaptation #classification #kernel #learning

Adaptive kernel learning based on centered alignment for hierarchical classification (YL, JL, JY), pp. 569–572.

ICPR-2012-LuWH #classification #gender

Gait-based gender classification in unconstrained environments (JL, GW, TSH), pp. 3284–3287.

ICPR-2012-MiyamotoMSS #3d #classification #estimation #precise #realtime

Real-time and precise 3-D hand posture estimation based on classification tree trained with variations of appearances (SM, TM, NS, YS), pp. 453–456.

ICPR-2012-MoZW #classification #learning

Enhancing cross-view object classification by feature-based transfer learning (YM, ZZ, YW), pp. 2218–2221.

ICPR-2012-Noh #analysis #classification #learning #metric #nearest neighbour

χ2 Metric learning for nearest neighbor classification and its analysis (SN), pp. 991–995.

ICPR-2012-PangHYQW #analysis #classification #learning

Theoretical analysis of learning local anchors for classification (JP, QH, BY, LQ, DW), pp. 1803–1806.

ICPR-2012-RattaniMGR #approach #automation #classification

A dual-staged classification-selection approach for automated update of biometric templates (AR, GLM, EG, FR), pp. 2972–2975.

ICPR-2012-RenZMZ #classification #image #multi #optimisation

Hyperspectral image classification based on Multiple Improved particle swarm cooperative optimization and SVM (YR, YZ, QM, LZ), pp. 2274–2277.

ICPR-2012-RichterGE #classification #image #web

Facial expression classification on web images (MR, TG, HKE), pp. 3517–3520.

ICPR-2012-RingJKE #analysis #classification #complexity #design #embedded #performance

Software-based performance and complexity analysis for the design of embedded classification systems (MR, UJ, PK, BE), pp. 2266–2269.

ICPR-2012-RoyH #classification #component #detection #documentation #image #using

Text detection on camera acquired document images using supervised classification of connected components in wavelet domain (UR, GH), pp. 270–273.

ICPR-2012-San-BiagioUCCCM #approach #classification #kernel #learning #multi

A multiple kernel learning approach to multi-modal pedestrian classification (MSB, AU, MC, MC, UC, VM), pp. 2412–2415.

ICPR-2012-SantosFTRGPF #analysis #classification #correlation #image #multi

Descriptor correlation analysis for remote sensing image multi-scale classification (JAdS, FAF, RdST, AR, PHG, SPF, AXF), pp. 3078–3081.

ICPR-2012-SantosPTGPF #classification #image #multi #using #visual notation #word

Improving texture description in remote sensing image multi-scale classification tasks by using visual words (JAdS, OABP, RdST, PHG, SPF, AXF), pp. 3090–3093.

ICPR-2012-SchuldhausKJESL #classification #using

Classification of surfaces and inclinations during outdoor running using shoe-mounted inertial sensors (DS, PK, UJ, BE, HS, ML), pp. 2258–2261.

ICPR-2012-SermanetCL #classification #network

Convolutional neural networks applied to house numbers digit classification (PS, SC, YL), pp. 3288–3291.

ICPR-2012-StrandmarkUK #classification

HEp-2 staining pattern classification (PS, JU, FK), pp. 33–36.

ICPR-2012-SuYLW #bound #classification #editing #using

Local color editing using color classification and boundary inpainting (ZS, XY, XL, DW), pp. 3196–3199.

ICPR-2012-ThakoorB #classification #video

Structural signatures for passenger vehicle classification in video (NT, BB), pp. 926–929.

ICPR-2012-ThibaultA #classification #performance #statistics

Efficient statistical/morphological cell texture characterization and classification (GT, JA), pp. 2440–2443.

ICPR-2012-TimofteG #classification #collaboration #image #representation

Weighted collaborative representation and classification of images (RT, LJVG), pp. 1606–1610.

ICPR-2012-TuiaMVFR #classification #image

Discovering relevant spatial filterbanks for VHR image classification (DT, MDM, MV, RF, AR), pp. 3212–3215.

ICPR-2012-Utasi #classification #dataset

Weighted conditional mutual information based boosting for classification of imbalanced datasets (ÁU), pp. 2711–2714.

ICPR-2012-ValevY #classification #clustering #graph #using

Classification using graph partitioning (VV, NY), pp. 1261–1264.

ICPR-2012-VieuxD #classification #clustering #documentation #image

Hierarchical clustering model for pixel-based classification of document images (RV, JPD), pp. 290–293.

ICPR-2012-WangHWZ #classification #gender #using

Facial image-based gender classification using Local Circular Patterns (CW, DH, YW, GZ), pp. 2432–2435.

ICPR-2012-WangWZBL #classification #image

Adjacent coding for image classification (YW, XW, SZ, XB, WL), pp. 1459–1462.

ICPR-2012-WangXY #classification #image #re-engineering

Sparse residue for occluded face image reconstruction and classification (JW, YX, JY), pp. 1707–1710.

ICPR-2012-WuHWT #classification #encoding #image

Group encoding of local features in image classification (ZW, YH, LW, TT), pp. 1505–1508.

ICPR-2012-WuW #classification #dependence

Term relevance dependency model for text classification (MSW, HMW), pp. 1064–1067.

ICPR-2012-XuLCYTWCTW #classification #image #locality #performance

Efficient optic cup localization based on superpixel classification for glaucoma diagnosis in digital fundus images (YX, JL, JC, FY, NMT, DWKW, CYC, YCT, TYW), pp. 49–52.

ICPR-2012-YamasakiC #classification #recognition #refinement

Confidence-assisted classification result refinement for object recognition featuring TopN-Exemplar-SVM (TY, TC), pp. 1783–1786.

ICPR-2012-YangGAZW #classification #clustering #query

Iterative clustering and support vectors-based high-confidence query selection for motor imagery EEG signals classification (HY, CG, KKA, HZ, CW), pp. 2169–2172.

ICPR-2012-YanRLS #classification #learning #multi

Active transfer learning for multi-view head-pose classification (YY, SR, OL, NS), pp. 1168–1171.

ICPR-2012-YeKC #classification #multi

Combining general multi-class and specific two-class classifiers for improved customized ECG heartbeat classification (CY, BVKVK, MTC), pp. 2428–2431.

ICPR-2012-YiP #classification #graph

Sparse Granger causality graphs for human action classification (SY, VP), pp. 3374–3377.

ICPR-2012-YlioinasHP #classification #using

Age Classification in Unconstrained Conditions Using LBP Variants (JY, AH, MP), pp. 1257–1260.

ICPR-2012-ZhangHR #classification #gender #learning

Hypergraph based semi-supervised learning for gender classification (ZZ, ERH, PR), pp. 1747–1750.

ICPR-2012-ZhangLGZ #classification #feature model

An improved EEMD model for feature extraction and classification of gunshot in public places (ZZ, WL, WG, JZ), pp. 1517–1520.

ICPR-2012-ZhangSTW #classification #image

Iris image classification based on color information (HZ, ZS, TT, JW), pp. 3427–3430.

ICPR-2012-ZhuoCQYX #algorithm #classification #image #learning #using

Image classification using HTM cortical learning algorithms (WZ, ZC, YQ, ZY, YX), pp. 2452–2455.

ICPR-2012-ZnaidiaSBHP #classification #image #multi

Bag-of-multimedia-words for image classification (AZ, AS, HLB, CH, NP), pp. 1509–1512.

KDD-2012-JanWLL #classification

A simple methodology for soft cost-sensitive classification (TKJ, DWW, CHL, HTL), pp. 141–149.

KDD-2012-LiJPS #classification #learning #multi

Multi-domain active learning for text classification (LL, XJ, SJP, JTS), pp. 1086–1094.

KDD-2012-LinesDHB #classification

A shapelet transform for time series classification (JL, LMD, JH, AB), pp. 289–297.

KDD-2012-LouCG #classification #modelling

Intelligible models for classification and regression (YL, RC, JG), pp. 150–158.

KDD-2012-YuDRZY #classification #multi #predict

Transductive multi-label ensemble classification for protein function prediction (GXY, CD, HR, GZ, ZY), pp. 1077–1085.

KDIR-2012-HavaSK #classification #documentation #network #semantics

Contextual Latent Semantic Networks used for Document Classification (OH, MS, PK), pp. 425–430.

KDIR-2012-LemnaruSVP #classification #documentation #taxonomy

A System for Historical Documents Transcription based on Hierarchical Classification and Dictionary Matching (CL, ASN, MAV, RP), pp. 353–357.

KDIR-2012-LemnaruTCP #case study #classification #detection #hybrid #network #problem

A Hybrid Solution for Imbalanced Classification Problems — Case Study on Network Intrusion Detection (CL, ATV, AC, RP), pp. 348–352.

KDIR-2012-Vanetik #classification #dataset

Classification of Datasets with Frequent Itemsets is Wild (NV), pp. 386–389.

KEOD-2012-AlirezaieL #classification #low level #ontology

Ontology Alignment for Classification of Low Level Sensor Data (MA, AL), pp. 89–97.

MLDM-2012-Ba-KaraitSS #classification #hybrid #optimisation #using

EEG Signals Classification Using a Hybrid Method Based on Negative Selection and Particle Swarm Optimization (NOSBK, SMS, RS), pp. 427–438.

MLDM-2012-CarvalhoPS #classification #image #using

Classification of Breast Tissues in Mammographic Images in Mass and Non-mass Using McIntosh’s Diversity Index and SVM (PMdSC, ACdP, ACS), pp. 482–494.

MLDM-2012-CeciAVMPG #classification #paradigm #relational

Transductive Relational Classification in the Co-training Paradigm (MC, AA, HLV, DM, EP, HG), pp. 11–25.

MLDM-2012-ForczmanskiF #classification #distance #representation

Classification of Elementary Stamp Shapes by Means of Reduced Point Distance Histogram Representation (PF, DF), pp. 603–616.

MLDM-2012-LeiteBV #algorithm #classification #testing

Selecting Classification Algorithms with Active Testing (RL, PB, JV), pp. 117–131.

MLDM-2012-NascimentoPS #classification #image #using

Lung Nodules Classification in CT Images Using Shannon and Simpson Diversity Indices and SVM (LBN, ACdP, ACS), pp. 454–466.

MLDM-2012-TabatabaeiAKK #classification #internet #machine learning

Machine Learning-Based Classification of Encrypted Internet Traffic (TST, MA, FK, MK), pp. 578–592.

MLDM-2012-Thombre #classification #network

Comparing Logistic Regression, Neural Networks, C5.0 and M5′ Classification Techniques (AT), pp. 132–140.

MLDM-2012-YangW #classification #modelling

Generalized Nonlinear Classification Model Based on Cross-Oriented Choquet Integral (RY, ZW), pp. 26–39.

SEKE-2012-HaoWZ #classification #empirical #machine learning

An Empirical Study of Execution-Data Classification Based on Machine Learning (DH, XW, LZ), pp. 283–288.

SEKE-2012-NoorianBD #classification #non-functional #product line #taxonomy

Non-functional Properties in Software Product Lines: A Taxonomy for Classification (MN, EB, WD), pp. 663–667.

SIGIR-2012-BerardiES #automation #classification #ranking

A utility-theoretic ranking method for semi-automated text classification (GB, AE, FS), pp. 961–970.

SIGIR-2012-HuO #classification #dataset #using

Genre classification for million song dataset using confidence-based classifiers combination (YH, MO), pp. 1083–1084.

SIGIR-2012-Ko #case study #classification #using

A study of term weighting schemes using class information for text classification (YK), pp. 1029–1030.

SIGIR-2012-LipkaSA #classification #clustering #information retrieval #problem

Cluster-based one-class ensemble for classification problems in information retrieval (NL, BS, MA), pp. 1041–1042.

SIGIR-2012-NishidaHF #classification #detection #probability #twitter #word

Improving tweet stream classification by detecting changes in word probability (KN, TH, KF), pp. 971–980.

SIGIR-2012-Sun #classification #using #word

Short text classification using very few words (AS), pp. 1145–1146.

SIGIR-2012-ZerrSHD #classification #image #privacy

Privacy-aware image classification and search (SZ, SS, JSH, ED), pp. 35–44.

SIGIR-2012-ZhangFQDSY #classification #online

Emotion tagging for comments of online news by meta classification with heterogeneous information sources (YZ, YF, XQ, LD, LS, XY), pp. 1059–1060.

SAC-2012-CerriBC #algorithm #classification #multi #search-based

A genetic algorithm for Hierarchical Multi-Label Classification (RC, RCB, ACPLFdC), pp. 250–255.

SAC-2012-EgginkAB #case study #classification

A pilot study for mood-based classification of TV programmes (JE, PA, DB), pp. 918–922.

SAC-2012-NathML #classification #fault #on the #testing

On the improvement of a fault classification scheme with implications for white-box testing (SKN, RM, MFL), pp. 1123–1130.

SAC-2012-OongI #classification #fuzzy #learning #multi #performance #testing

Multilayer Fuzzy ARTMAP: fast learning and fast testing for pattern classification (THO, NAMI), pp. 27–32.

SAC-2012-WickerPK #classification #composition #matrix #multi #using

Multi-label classification using boolean matrix decomposition (JW, BP, SK), pp. 179–186.

ICSE-2012-BacchelliSDL #classification #development #email

Content classification of development emails (AB, TDS, MD, ML), pp. 375–385.

ICST-2012-KruseW #classification #generative #sequence #testing

Test Sequence Generation from Classification Trees (PMK, JW), pp. 539–548.

ICST-2012-ShakyaXLLKK #classification #combinator #testing #using

Isolating Failure-Inducing Combinations in Combinatorial Testing Using Test Augmentation and Classification (KS, TX, NL, YL, RK, DRK), pp. 620–623.

ICST-2012-SprenkleCP #classification #modelling #statistics #web

Leveraging User-Privilege Classification to Customize Usage-based Statistical Models of Web Applications (SS, CC, LLP), pp. 161–170.

ASE-2011-HuangNPGBT #automation #classification #fault #generative #named #orthogonal

AutoODC: Automated generation of Orthogonal Defect Classifications (LH, VN, IP, RG, XB, JT), pp. 412–415.

CASE-2011-NazeemR #classification #concurrent #design #policy #resource management

Designing maximally permissive deadlock avoidance policies for sequential resource allocation systems through classification theory (AN, SAR), pp. 405–412.

DAC-2011-WangXAP #classification #learning #policy #power management #using

Deriving a near-optimal power management policy using model-free reinforcement learning and Bayesian classification (YW, QX, ACA, MP), pp. 41–46.

DATE-2011-KangD #classification #gpu #metaprogramming #scalability

Scalable packet classification via GPU metaprogramming (KK, YSD), pp. 871–874.

DRR-2011-XieA #classification

Boosting based text and non-text region classification (BX, GA), pp. 1–10.

HT-2011-ZubiagaKS #classification #social

Tags vs shelves: from social tagging to social classification (AZ, CK, MS), pp. 93–102.

ICDAR-2011-CiresanMGS #classification #network

Convolutional Neural Network Committees for Handwritten Character Classification (DCC, UM, LMG, JS), pp. 1135–1139.

ICDAR-2011-DiemKS #analysis #classification #documentation #layout

Text Classification and Document Layout Analysis of Paper Fragments (MD, FK, RS), pp. 854–858.

ICDAR-2011-KokawaBOWK #analysis #automation #classification #fault

An Impact of OCR Errors on Automated Classification of OCR Japanese Texts with Parts-of-Speech Analysis (AK, LSPB, WO, TW, FK), pp. 543–547.

ICDAR-2011-KumarPD #classification #documentation #image #learning #multi #using

Document Image Classification and Labeling Using Multiple Instance Learning (JK, JP, DSD), pp. 1059–1063.

ICDAR-2011-LuoOWK #automation #case study #classification

A Study on Automatic Chinese Text Classification (XL, WO, TW, FK), pp. 920–924.

ICDAR-2011-NguyenCO #approach #classification

Bags of Strokes Based Approach for Classification and Indexing of Drop Caps (TTHN, MC, JMO), pp. 349–353.

ICDAR-2011-PackerTK #classification #recognition

alpha-Shape Based Classification with Applications to Optical Character Recognition (EP, AT, VK), pp. 344–348.

ICDAR-2011-ShivakumaraPLT #classification #recognition #video

Video Character Recognition through Hierarchical Classification (PS, TQP, SL, CLT), pp. 131–135.

VLDB-2011-KocR #classification #incremental #maintenance #using

Incrementally maintaining classification using an RDBMS (MLK, CR), pp. 302–313.

SCAM-J-2009-HollandD11 #classification #information management #quality #tool support

Classification and selection of tools for quality knowledge management (SH, RD), pp. 393–409.

LATA-2011-AnselmoGM #classification #string

Classification of String Languages via Tiling Recognizable Picture Languages (MA, DG, MM), pp. 105–116.

DUXU-v2-2011-MasipOG #classification #component #evaluation #heuristic #interactive

Classification of Interactive System Components Enables Planning Heuristic Evaluation Easier (LM, MO, TG), pp. 478–486.

HCI-MIIE-2011-KarthikP #adaptation #approach #classification #email #machine learning

Adaptive Machine Learning Approach for Emotional Email Classification (KK, RP), pp. 552–558.

HCI-MIIE-2011-WalterSSGHSBLTS #behaviour #classification #multimodal

Multimodal Emotion Classification in Naturalistic User Behavior (SW, SS, MS, MG, DH, MS, RB, KL, HCT, FS), pp. 603–611.

HIMI-v2-2011-MozaffariM #classification #mining #visual notation

A Classification Scheme for Characterizing Visual Mining (EM, SPM), pp. 46–54.

ICEIS-J-2011-LemnaruP #classification #problem

Imbalanced Classification Problems: Systematic Study, Issues and Best Practices (CL, RP), pp. 35–50.

ICEIS-v1-2011-ChagheriCRD #classification #documentation

Document Classification — Combining Structure and Content (SC, SC, CR, CD), pp. 95–100.

CIKM-2011-AnderkaSL #classification #detection #problem #quality

Detection of text quality flaws as a one-class classification problem (MA, BS, NL), pp. 2313–2316.

CIKM-2011-BespalovBQS #analysis #classification #n-gram #sentiment

Sentiment classification based on supervised latent n-gram analysis (DB, BB, YQ, AS), pp. 375–382.

CIKM-2011-BianC #classification #query #taxonomy

A taxonomy of local search: semi-supervised query classification driven by information needs (JB, YC), pp. 2425–2428.

CIKM-2011-CaiZLZ #classification #scalability #semantics #wiki

Large-scale question classification in cQA by leveraging Wikipedia semantic knowledge (LC, GZ, KL, JZ), pp. 1321–1330.

CIKM-2011-ChenSNC #adaptation #classification #query #self

Improving context-aware query classification via adaptive self-training (MC, JTS, XN, YC), pp. 115–124.

CIKM-2011-GaoL #adaptation #analysis #classification #probability #sentiment #using

A cross-domain adaptation method for sentiment classification using probabilistic latent analysis (SG, HL), pp. 1047–1052.

CIKM-2011-Garza #classification #matrix

Structured data classification by means of matrix factorization (PG), pp. 2165–2168.

CIKM-2011-JacobDG #classification #corpus #multi #social #using

Classification and annotation in social corpora using multiple relations (YJ, LD, PG), pp. 1215–1220.

CIKM-2011-LinTC #classification #independence #sentiment #using #word

Language-independent sentiment classification using three common words (ZL, ST, XC), pp. 1041–1046.

CIKM-2011-LiuLZD #classification #network #sentiment

Sentiment classification via l2-norm deep belief network (TL, ML, SZ, XD), pp. 2489–2492.

CIKM-2011-LiuNSC #classification #comprehension #query #transaction

Unsupervised transactional query classification based on webpage form understanding (YL, XN, JTS, ZC), pp. 57–66.

CIKM-2011-LiZWLW #classification #sentiment

Imbalanced sentiment classification (SL, GZ, ZW, SYML, RW), pp. 2469–2472.

CIKM-2011-LuLYYH #classification #modelling #parametricity

Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis (ML, LL, XY, SY, HH), pp. 2509–2512.

CIKM-2011-QiD #classification #evolution

Hierarchy evolution for improved classification (XQ, BDD), pp. 2193–2196.

CIKM-2011-SelvarajBSS #classification #dataset

Semi-supervised SVMs for classification with unknown class proportions and a small labeled dataset (SKS, BB, SS, SKS), pp. 653–662.

CIKM-2011-TomasevRMI #approach #classification #nearest neighbour #probability

A probabilistic approach to nearest-neighbor classification: naive hubness bayesian kNN (NT, MR, DM, MI), pp. 2173–2176.

CIKM-2011-WangWLZZ #analysis #approach #classification #graph #hashtag #sentiment #topic #twitter

Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach (XW, FW, XL, MZ, MZ), pp. 1031–1040.

CIKM-2011-WangZLBW #classification #multi #random #using

Using random walks for multi-label classification (CW, WZ, ZL, YB, JW), pp. 2197–2200.

CIKM-2011-YooYC #classification #email #modelling #personalisation

Modeling personalized email prioritization: classification-based and regression-based approaches (SY, YY, JGC), pp. 729–738.

ECIR-2011-Dulac-ArnoldDG #approach #classification

Text Classification: A Sequential Reading Approach (GDA, LD, PG), pp. 411–423.

ECIR-2011-He #classification #sentiment

Latent Sentiment Model for Weakly-Supervised Cross-Lingual Sentiment Classification (YH), pp. 214–225.

ECIR-2011-KinsellaPB #classification #metadata #social #social media #topic #using

Topic Classification in Social Media Using Metadata from Hyperlinked Objects (SK, AP, JGB), pp. 201–206.

ECIR-2011-OhCM #classification #modelling #scalability #taxonomy #using

Text Classification for a Large-Scale Taxonomy Using Dynamically Mixed Local and Global Models for a Node (HSO, YC, SHM), pp. 7–18.

ICML-2011-BiK #classification #multi

MultiLabel Classification on Tree- and DAG-Structured Hierarchies (WB, JTK), pp. 17–24.

ICML-2011-CrammerG #adaptation #classification #feedback #multi #using

Multiclass Classification with Bandit Feedback using Adaptive Regularization (KC, CG), pp. 273–280.

ICML-2011-FlachHR #classification #performance

A Coherent Interpretation of AUC as a Measure of Aggregated Classification Performance (PAF, JHO, CFR), pp. 657–664.

ICML-2011-GabillonLGS #classification #policy

Classification-based Policy Iteration with a Critic (VG, AL, MG, BS), pp. 1049–1056.

ICML-2011-GlorotBB #adaptation #approach #classification #learning #scalability #sentiment

Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach (XG, AB, YB), pp. 513–520.

ICML-2011-KuwadekarN #classification #learning #modelling #relational

Relational Active Learning for Joint Collective Classification Models (AK, JN), pp. 385–392.

ICML-2011-Scott #bound #classification

Surrogate losses and regret bounds for cost-sensitive classification with example-dependent costs (CS), pp. 153–160.

ICML-2011-SuSM #classification #multi #naive bayes #scalability #using

Large Scale Text Classification using Semisupervised Multinomial Naive Bayes (JS, JSS, SM), pp. 97–104.

ICML-2011-XiaoZW #classification #orthogonal

Hierarchical Classification via Orthogonal Transfer (LX, DZ, MW), pp. 801–808.

KDD-2011-BekkermanG #classification #documentation

High-precision phrase-based document classification on a modern scale (RB, MG), pp. 231–239.

KDD-2011-CerratoJG #classification #generative

Classification of proxy labeled examples for marketing segment generation (DC, RJ, AG), pp. 343–350.

KDD-2011-IfrimW #biology #bound #classification #coordination #predict #sequence

Bounded coordinate-descent for biological sequence classification in high dimensional predictor space (GI, CW), pp. 708–716.

KDD-2011-JiHD #classification #network

Ranking-based classification of heterogeneous information networks (MJ, JH, MD), pp. 1298–1306.

KDD-2011-KongFY #classification #graph

Dual active feature and sample selection for graph classification (XK, WF, PSY), pp. 654–662.

KDD-2011-MooreYZRL #classification #learning #network

Active learning for node classification in assortative and disassortative networks (CM, XY, YZ, JBR, TL), pp. 841–849.

KDD-2011-MueenKY #classification #named

Logical-shapelets: an expressive primitive for time series classification (AM, EJK, NEY), pp. 1154–1162.

KDD-2011-PennacchiottiP #classification #twitter

Democrats, republicans and starbucks afficionados: user classification in twitter (MP, AMP), pp. 430–438.

KDD-2011-PereiraB #classification #functional #using

Classification of functional magnetic resonance imaging data using informative pattern features (FP, MB), pp. 940–946.

KDD-2011-SimonKL #classification #statistics

A simple statistical model and association rule filtering for classification (GJS, VK, PWL), pp. 823–831.

KDD-2011-WangDCV #adaptation #classification #multi #scalability

Trading representability for scalability: adaptive multi-hyperplane machine for nonlinear classification (ZW, ND, KC, SV), pp. 24–32.

KDIR-2011-AliDKB #classification #image

Bio-inspired Bags-of-features for Image Classification (WBHA, ED, PK, MB), pp. 277–281.

KDIR-2011-ArmengolP #case study #classification #information management #lazy evaluation #learning

Combining Two Lazy Learning Methods for Classification and Knowledge Discovery — A Case Study for Malignant Melanoma Diagnosis (EA, SP), pp. 200–207.

KDIR-2011-CostaRO #approach #classification #transaction #xml

A Transactional Approach to Associative XML Classification by Content and Structure (GC, RO, ER), pp. 104–113.

KDIR-2011-PrachuabsupakijS #classification #multi #set #using

Multi-class Data Classification for Imbalanced Data Set using Combined Sampling Approaches (WP, NS), pp. 166–171.

KDIR-2011-ShaikhSW #classification #multi

Classification of Dialogue Acts in Urdu Multi-party Discourse (SS, TS, NW), pp. 406–412.

KEOD-2011-FukumotoS #classification #clustering #graph #semantics #word

Semantic Classification of Unknown Words based on Graph-based Semi-supervised Clustering (FF, YS), pp. 37–46.

KEOD-2011-SuzukiF #classification #documentation #multi #using

Multi-labeled Patent Document Classification using Technical Term Thesaurus (YS, FF), pp. 425–428.

MLDM-2011-CataltepeSBE #classification #using

Collective Classification Using Heterogeneous Classifiers (ZÇ, AS, KB, AE), pp. 155–169.

MLDM-2011-JoutsijokiJ #classification #image

Comparing the One-vs-One and One-vs-All Methods in Benthic Macroinvertebrate Image Classification (HJ, MJ), pp. 399–413.

MLDM-2011-LungaE #classification #nearest neighbour

Spherical Nearest Neighbor Classification: Application to Hyperspectral Data (DL, OKE), pp. 170–184.

MLDM-2011-SanchezGM #classification #reduction #tool support

Exploring Synergetic Effects of Dimensionality Reduction and Resampling Tools on Hyperspectral Imagery Data Classification (JSS, VG, RAM), pp. 511–523.

MLDM-2011-TomasevRMI #classification #fuzzy #metric #nearest neighbour

Hubness-Based Fuzzy Measures for High-Dimensional k-Nearest Neighbor Classification (NT, MR, DM, MI), pp. 16–30.

SEKE-2011-LiJ #classification #ontology

An Ontology based Method for Building Understandable Hierarchical Classification Structure for Software Assets Browsing (GL, ZJ), pp. 521–526.

SEKE-2011-LiuZH11a #classification #empirical #non-functional #requirements

An Empirical Study on Classification of Non-Functional Requirements (SL, RZ, XH), pp. 444–449.

SEKE-2011-NoorianBD #classification #framework #machine learning #testing #towards

Machine Learning-based Software Testing: Towards a Classification Framework (MN, EB, WD), pp. 225–229.

SIGIR-2011-KimKWHK #approach #classification #mining

Authorship classification: a discriminative syntactic tree mining approach (SK, HK, TW, JH, HDK), pp. 455–464.

SIGIR-2011-Martinez-Alvarez #classification #information retrieval #integration #modelling

Descriptive modelling of text classification and its integration with other IR tasks (MMA), pp. 1317–1318.

SIGIR-2011-SandenZ #classification #multi #music

Enhancing multi-label music genre classification through ensemble techniques (CS, JZZ), pp. 705–714.

SIGIR-2011-SunWY #classification #effectiveness #towards

Towards effective short text deep classification (XS, HW, YY), pp. 1143–1144.

SIGIR-2011-WangHND #classification #information management #matrix #using #web

Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization (HW, HH, FN, CHQD), pp. 933–942.

SAC-2011-EcharteACVL #classification #folksonomy

A method for the classification of folksonomy resources (FE, JJA, AC, JEV, AL), pp. 1675–1680.

SAC-2011-LanLSH #algorithm #analysis #case study #classification #comparative #image

A comparative study and analysis on K-view based algorithms for image texture classification (YL, HL, ES, CCH), pp. 859–860.

SAC-2011-OsborneGCAZ #classification

Machine classification of melanoma and nevi from skin lesions (JDO, SG, WbC, AA, CZ), pp. 100–105.

SAC-2011-WangZG #classification #identification #network

Traffic classification beyond application level: identifying content types from network traces (YW, ZZ, LG), pp. 540–541.

ICSE-2011-Kidwell #classification #fault #research

A decision support system for the classification of software coding faults: a research abstract (BK), pp. 1158–1160.

ECSA-2010-EklundA #architecture #classification

A Classification of Value for Software Architecture Decisions (UE, TA), pp. 368–375.

DAC-2010-CallegariDWA #classification #learning #using

Classification rule learning using subgroup discovery of cross-domain attributes responsible for design-silicon mismatch (NC, DGD, LCW, MSA), pp. 374–379.

DocEng-2010-SorioBDM #classification

Open world classification of printed invoices (ES, AB, GD, EM), pp. 187–190.

DRR-2010-KatsuyamaMHOK #classification

A new pre-classification method based on associative matching method (YK, AM, YH, SO, NK), pp. 1–10.

HT-2010-LexJG #classification #online

Objectivity classification in online media (EL, AJ, MG), pp. 293–294.

SIGMOD-2010-JinYW #classification #graph #named #using

GAIA: graph classification using evolutionary computation (NJ, CY, WW), pp. 879–890.

LATA-2010-CabessaV #classification #first-order #network

A Hierarchical Classification of First-Order Recurrent Neural Networks (JC, AEPV), pp. 142–153.

CHI-2010-KapoorLTH #classification #interactive #optimisation

Interactive optimization for steering machine classification (AK, BL, DST, EH), pp. 1343–1352.

ICEIS-AIDSS-2010-KrohaN #classification #predict #roadmap

Classification of Market News and Prediction of Market Trends (PK, RN), pp. 187–192.

ICEIS-AIDSS-2010-SahaPMB #classification #clustering #difference #image #using

Improvement of Differential Crisp Clustering using ANN Classifier for Unsupervised Pixel Classification of Satellite Image (IS, DP, UM, SB), pp. 21–29.

ICEIS-AIDSS-2010-WatanabeRTT #classification #statistics

Statistical Associative Classification of Mammograms — The SACMiner Method (CYVW, MXR, CTJ, AJMT), pp. 121–128.

ICEIS-J-2010-WatanabeRTT10a #classification #image #named #statistics

SACMiner: A New Classification Method Based on Statistical Association Rules to Mine Medical Images (CYVW, MXR, CTJ, AJMT), pp. 249–263.

CIKM-2010-BatalH #classification #predict #using

Constructing classification features using minimal predictive patterns (IB, MH), pp. 869–878.

CIKM-2010-ChaturvediFSM #classification #scalability

Estimating accuracy for text classification tasks on large unlabeled data (SC, TAF, LVS, MKM), pp. 889–898.

CIKM-2010-EickhoffSV #classification #web

Web page classification on child suitability (CE, PS, APdV), pp. 1425–1428.

CIKM-2010-FiranGNP #classification #image #order #social

Bringing order to your photos: event-driven classification of flickr images based on social knowledge (CSF, MG, WN, RP), pp. 189–198.

CIKM-2010-FujinoUN #classification #learning #robust

A robust semi-supervised classification method for transfer learning (AF, NU, MN), pp. 379–388.

CIKM-2010-GuanXZGY #analysis #classification #documentation #performance #reduction

Fast dimension reduction for document classification based on imprecise spectrum analysis (HG, BX, JZ, MG, TY), pp. 1753–1756.

CIKM-2010-He #classification #learning #sentiment

Learning sentiment classification model from labeled features (YH), pp. 1685–1688.

CIKM-2010-JensenS #classification

Exploiting sequential relationships for familial classification (LSJ, JGS), pp. 1901–1904.

CIKM-2010-LinC #classification #multi

Mr.KNN: soft relevance for multi-label classification (XL, XwC), pp. 349–358.

CIKM-2010-LiSZJZ #classification #documentation #named

TC-DCA: a system for text classification based on document’s content allocation (WL, LS, ZZ, XJ, WZ), pp. 1937–1938.

CIKM-2010-LiuXCY #classification #feature model #multi

Orientation distance-based discriminative feature extraction for multi-class classification (BL, YX, LC, PSY), pp. 909–918.

CIKM-2010-ZhuangLSHXSX #classification #collaboration #mining #multi

Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification (FZ, PL, ZS, QH, YX, ZS, HX), pp. 359–368.

CIKM-2010-ZhuZGX #classification #incremental #learning

Transfer incremental learning for pattern classification (ZZ, XZ, YFG, XX), pp. 1709–1712.

ECIR-2010-Collins-ThompsonB #classification #performance #predict #query

Predicting Query Performance via Classification (KCT, PNB), pp. 140–152.

ICML-2010-ChengDH10a #classification #multi

Graded Multilabel Classification: The Ordinal Case (WC, KD, EH), pp. 223–230.

ICML-2010-DembczynskiCH #classification #multi #probability

Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains (KD, WC, EH), pp. 279–286.

ICML-2010-HariharanZVV #classification #multi #scalability

Large Scale Max-Margin Multi-Label Classification with Priors (BH, LZM, SVNV, MV), pp. 423–430.

ICML-2010-LazaricGM #algorithm #analysis #classification #policy

Analysis of a Classification-based Policy Iteration Algorithm (AL, MG, RM), pp. 607–614.

ICML-2010-TuL #classification #multi

One-sided Support Vector Regression for Multiclass Cost-sensitive Classification (HHT, HTL), pp. 1095–1102.

ICPR-2010-AiHRC #adaptation #classification #component #image #independence

Adaptive Color Independent Components Based SIFT Descriptors for Image Classification (DA, XHH, XR, YWC), pp. 2436–2439.

ICPR-2010-AkbasA #classification #image #low level #segmentation

Low-Level Image Segmentation Based Scene Classification (EA, NA), pp. 3623–3626.

ICPR-2010-ArgunsahC #approach #classification #human-computer #interface

AR-PCA-HMM Approach for Sensorimotor Task Classification in EEG-based Brain-Computer Interfaces (AOA, MÇ), pp. 113–116.

ICPR-2010-BoughorbelBB #classification

Baby-Posture Classification from Pressure-Sensor Data (SB, FB, JB), pp. 556–559.

ICPR-2010-CanavanJRZYS #classification #evaluation #multi

Evaluation of Multi-frame Fusion Based Face Classification Under Shadow (SJC, BJ, MR, YZ, LY, JRS), pp. 1265–1268.

ICPR-2010-ChenS #classification #nearest neighbour #scalability

Hierarchical Large Margin Nearest Neighbor Classification (QC, SS), pp. 906–909.

ICPR-2010-ChuHC #classification #gender #identification #image #set

Identifying Gender from Unaligned Facial Images by Set Classification (WSC, CRH, CSC), pp. 2636–2639.

ICPR-2010-DaiYW #classification #image

Three-layer Spatial Sparse Coding for Image Classification (DD, WY, TW), pp. 613–616.

ICPR-2010-DehzangiMCL #classification #fuzzy #using

Framewise Phone Classification Using Weighted Fuzzy Classification Rules (OD, BM, EC, HL), pp. 4186–4189.

ICPR-2010-DesnoyerW #classification #image

Aesthetic Image Classification for Autonomous Agents (MD, DW), pp. 3452–3455.

ICPR-2010-DikmenH #canonical #classification #correlation

Improving Classification Accuracy by Comparing Local Features through Canonical Correlations (MD, TSH), pp. 4032–4035.

ICPR-2010-DornaikaC #classification #detection #performance #using

Efficient Object Detection and Matching Using Feature Classification (FD, FC), pp. 3073–3076.

ICPR-2010-DuGC #classification #web

Enhancing Web Page Classification via Local Co-training (YD, XG, ZC), pp. 2905–2908.

ICPR-2010-DuinOL #classification #multi

Classification of Volcano Events Observed by Multiple Seismic Stations (RPWD, MOA, JMLB), pp. 1052–1055.

ICPR-2010-DukkipatiYM #classification #feature model #modelling

Maximum Entropy Model Based Classification with Feature Selection (AD, AKY, MNM), pp. 565–568.

ICPR-2010-DundarBRJSG #approach #classification #learning #multi #towards

A Multiple Instance Learning Approach toward Optimal Classification of Pathology Slides (MD, SB, VCR, RKJ, OS, MNG), pp. 2732–2735.

ICPR-2010-DurakN #classification #detection #image

Principal Contour Extraction and Contour Classification to Detect Coronal Loops from the Solar Images (ND, ON), pp. 2403–2406.

ICPR-2010-ErgulA #classification #topic #using

Scene Classification Using Spatial Pyramid of Latent Topics (EE, NA), pp. 3603–3606.

ICPR-2010-FanHM #classification #learning #metric

Learning Metrics for Shape Classification and Discrimination (YF, DH, WM), pp. 2652–2655.

ICPR-2010-FaradjiWB #approach #classification #problem

A Simple Approach to Find the Best Wavelet Basis in Classification Problems (FF, RKW, GEB), pp. 641–644.

ICPR-2010-FornesELV #classification #using

Symbol Classification Using Dynamic Aligned Shape Descriptor (AF, SE, JL, EV), pp. 1957–1960.

ICPR-2010-FuLTZ #classification #learning #music #naive bayes #retrieval

Learning Naive Bayes Classifiers for Music Classification and Retrieval (ZF, GL, KMT, DZ), pp. 4589–4592.

ICPR-2010-GargiuloS #classification #network #performance

Improving Performance of Network Traffic Classification Systems by Cleaning Training Data (FG, CS), pp. 2768–2771.

ICPR-2010-GhanemVW #classification #multi

Multi-class Pattern Classification in Imbalanced Data (ASG, SV, GAWW), pp. 2881–2884.

ICPR-2010-GordoP #approach #classification #documentation #multi

A Bag-of-Pages Approach to Unordered Multi-page Document Classification (AG, FP), pp. 1920–1923.

ICPR-2010-HafnerGLUVW #classification #image #using

Endoscopic Image Classification Using Edge-Based Features (MH, AG, ML, AU, AV, FW), pp. 2724–2727.

ICPR-2010-HanL #biology #classification #multi

A Hierarchical GIST Model Embedding Multiple Biological Feasibilities for Scene Classification (YH, GL), pp. 3109–3112.

ICPR-2010-HeG #classification

Rare Class Classification by Support Vector Machine (HH, AG), pp. 548–551.

ICPR-2010-Hotta #classification #using #visual notation #word

Scene Classification Using Local Co-occurrence Feature in Subspace Obtained by KPCA of Local Blob Visual Words (KH), pp. 4230–4233.

ICPR-2010-HuangDF #classification #estimation #multi #random

Head Pose Estimation Based on Random Forests for Multiclass Classification (CH, XD, CF), pp. 934–937.

ICPR-2010-HuangWFBHL #classification #multimodal

Multimodal Sleeping Posture Classification (WH, AAPW, FSF, JB, CCH, KL), pp. 4336–4339.

ICPR-2010-HuWZW #classification #gender

Combining Spatial and Temporal Information for Gait Based Gender Classification (MH, YW, ZZ, YW), pp. 3679–3682.

ICPR-2010-IdeSDTM #classification #video

Classification of Near-Duplicate Video Segments Based on Their Appearance Patterns (II, YS, DD, TT, HM), pp. 3129–3133.

ICPR-2010-JabidKC #classification #gender #using

Gender Classification Using Local Directional Pattern (LDP) (TJ, MHK, OC), pp. 2162–2165.

ICPR-2010-JakkojuKJ #classification #performance #using

Fast and Spatially-Smooth Terrain Classification Using Monocular Camera (CJ, KMK, CVJ), pp. 4060–4063.

ICPR-2010-JiangWXD #classification #image

A New Biologically Inspired Feature for Scene Image Classification (AJ, CW, BX, RD), pp. 758–761.

ICPR-2010-JunG #classification #process

Nearest-Manifold Classification with Gaussian Processes (GJ, JG), pp. 914–917.

ICPR-2010-KimM #classification #dataset

Dense Structure Inference for Object Classification in Aerial LIDAR Dataset (EK, GGM), pp. 3049–3052.

ICPR-2010-KobayashiO10a #classification #image

Bag of Hierarchical Co-occurrence Features for Image Classification (TK, NO), pp. 3882–3885.

ICPR-2010-KotropoulosAP #classification #music

Ensemble Discriminant Sparse Projections Applied to Music Genre Classification (CK, GRA, YP), pp. 822–825.

ICPR-2010-KuksaP #classification #performance #representation #sequence

Spatial Representation for Efficient Sequence Classification (PPK, VP), pp. 3320–3323.

ICPR-2010-KumarCCAPH #classification #complexity #using

Heart Murmur Classification Using Complexity Signatures (DK, PC, RC, MA, RPP, JH), pp. 2564–2567.

ICPR-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.

ICPR-2010-LeeWC #classification #linear #multi

A Discriminative and Heteroscedastic Linear Feature Transformation for Multiclass Classification (HSL, HMW, BC), pp. 690–693.

ICPR-2010-LiGZ #classification #representation

Local Sparse Representation Based Classification (CGL, JG, HGZ), pp. 649–652.

ICPR-2010-LiP10a #analysis #classification #monitoring #realtime

Human State Classification and Predication for Critical Care Monitoring by Real-Time Bio-signal Analysis (XL, FP), pp. 2460–2463.

ICPR-2010-Liu10a #classification #prototype #retrieval

One-Vs-All Training of Prototype Classifier for Pattern Classification and Retrieval (CLL), pp. 3328–3331.

ICPR-2010-LiuC #classification #image #string

Spatial String Matching for Image Classification (YL, VC), pp. 2937–2940.

ICPR-2010-LopesGKO #classification #music

Selection of Training Instances for Music Genre Classification (ML, FG, ALK, LESdO), pp. 4569–4572.

ICPR-2010-LotteG #classification

Spatially Regularized Common Spatial Patterns for EEG Classification (FL, CG), pp. 3712–3715.

ICPR-2010-LuLLY #automation #classification #image

Automated Cell Phase Classification for Zebrafish Fluorescence Microscope Images (YL, JL, TL, JY), pp. 2584–2587.

ICPR-2010-LuoN #classification #fault #learning #multi #problem

Employing Decoding of Specific Error Correcting Codes as a New Classification Criterion in Multiclass Learning Problems (YL, KN), pp. 4238–4241.

ICPR-2010-MahdhaouiC #classification #multi #speech

Emotional Speech Classification Based on Multi View Characterization (AM, MC), pp. 4488–4491.

ICPR-2010-Martin-HerreroF #classification #question

Tensor-Driven Hyperspectral Denoising: A Strong Link for Classification Chains? (JMH, MFA), pp. 2820–2823.

ICPR-2010-MelendezPG #adaptation #classification #on the #segmentation

On Adapting Pixel-based Classification to Unsupervised Texture Segmentation (JM, DP, MAG), pp. 854–857.

ICPR-2010-MozaffariBA #classification #gender #geometry #image #using

Gender Classification Using Single Frontal Image Per Person: Combination of Appearance and Geometric Based Features (SM, HB, RA), pp. 1192–1195.

ICPR-2010-NguyenJA #automation #classification #image #segmentation

Automated Gland Segmentation and Classification for Gleason Grading of Prostate Tissue Images (KN, AKJ, RLA), pp. 1497–1500.

ICPR-2010-NicolaouGP #classification

Audio-Visual Classification and Fusion of Spontaneous Affective Data in Likelihood Space (MAN, HG, MP), pp. 3695–3699.

ICPR-2010-OzdemirA #classification #image #representation #using

Image Classification Using Subgraph Histogram Representation (BÖ, SA), pp. 1112–1115.

ICPR-2010-PapaCF #classification #dataset #optimisation

Optimizing Optimum-Path Forest Classification for Huge Datasets (JPP, FAMC, AXF), pp. 4162–4165.

ICPR-2010-Parker #classification #empirical #feature model

An Empirical Study of Feature Extraction Methods for Audio Classification (CP), pp. 4593–4596.

ICPR-2010-PengYZC #classification #segmentation #using

Retinal Blood Vessels Segmentation Using the Radial Projection and Supervised Classification (QP, XY, LZ, YmC), pp. 1489–1492.

ICPR-2010-PhilippotBB #algorithm #classification #learning #network #online

Bayesian Networks Learning Algorithms for Online Form Classification (EP, YB, AB), pp. 1981–1984.

ICPR-2010-PiroNNB #classification

Boosting Bayesian MAP Classification (PP, RN, FN, MB), pp. 661–665.

ICPR-2010-PlumptonKLJ #classification #linear #online #using

On-Line fMRI Data Classification Using Linear and Ensemble Classifiers (COP, LIK, DEJL, SJJ), pp. 4312–4315.

ICPR-2010-RichiardiVRB #classification #graph #sequence

Vector Space Embedding of Undirected Graphs with Fixed-cardinality Vertex Sequences for Classification (JR, DVDV, KR, HB), pp. 902–905.

ICPR-2010-Sarkar #classification #documentation #image #learning

Learning Image Anchor Templates for Document Classification and Data Extraction (PS), pp. 3428–3431.

ICPR-2010-SeoAD #classification #evaluation #performance #segmentation #tool support

Performance Evaluation Tools for Zone Segmentation and Classification (PETS) (WS, MA, DSD), pp. 503–506.

ICPR-2010-ShibataKI #classification #nearest neighbour #performance #scalability

Large Margin Discriminant Hashing for Fast k-Nearest Neighbor Classification (TS, SK, SI), pp. 1015–1018.

ICPR-2010-ShivakumaraDTP #classification #proximity #symmetry #video

A New Symmetry Based on Proximity of Wavelet-Moments for Text Frame Classification in Video (PS, AD, CLT, UP), pp. 129–132.

ICPR-2010-ShivakumaraT #classification #novel #video

Novel Edge Features for Text Frame Classification in Video (PS, CLT), pp. 3191–3194.

ICPR-2010-ShobeirinejadG #classification #gender #using

Gender Classification Using Interlaced Derivative Patterns (AS, YG), pp. 1509–1512.

ICPR-2010-Simsekli #automation #classification #music #using

Automatic Music Genre Classification Using Bass Lines (US), pp. 4137–4140.

ICPR-2010-StuhlsatzLZ #classification #feature model

Feature Extraction for Simple Classification (AS, JL, TZ), pp. 1525–1528.

ICPR-2010-TakahashiK #approximate #classification

Margin Preserved Approximate Convex Hulls for Classification (TT, MK), pp. 4052–4055.

ICPR-2010-Thurau #classification #scalability

Nearest Archetype Hull Methods for Large-Scale Data Classification (CT), pp. 4040–4043.

ICPR-2010-TimmM #classification #fault #fourier #image #statistics

Statistical Fourier Descriptors for Defect Image Classification (FT, TM), pp. 4190–4193.

ICPR-2010-TumaIP #classification #kernel #set #using

Hydroacoustic Signal Classification Using Kernel Functions for Variable Feature Sets (MT, CI, MP), pp. 1011–1014.

ICPR-2010-TurkerKG #classification #image #network #using

Classification of Polarimetric SAR Images Using Evolutionary RBF Networks (TI, SK, MG), pp. 4324–4327.

ICPR-2010-WangSLYB #classification #using

Shape Classification Using Tree -Unions (BW, WS, WL, XY, XB), pp. 983–986.

ICPR-2010-Williams #classification

Underwater Mine Classification with Imperfect Labels (DPW), pp. 4157–4161.

ICPR-2010-WojcikiewiczBK #classification #clustering #image

Enhancing Image Classification with Class-wise Clustered Vocabularies (WW, AB, MK), pp. 1060–1063.

ICPR-2010-XiaoZZS #classification #multi

Data Classification on Multiple Manifolds (RX, QZ, DZ, PS), pp. 3898–3901.

ICPR-2010-YinAB #classification

Imbalance and Concentration in k-NN Classification (DY, CA, HSB), pp. 2170–2173.

ICPR-2010-YukselG #classification #detection

Variational Mixture of Experts for Classification with Applications to Landmine Detection (SEY, PDG), pp. 2981–2984.

ICPR-2010-ZhangWB #classification #using

Age Classification Base on Gait Using HMM (DZ, YW, BB), pp. 3834–3837.

ICPR-2010-ZhangZZLL #classification #enterprise #kernel

Gaussian ERP Kernel Classifier for Pulse Waveforms Classification (DZ, WZ, DZ, YL, NL), pp. 2736–2739.

ICPR-2010-ZhangZZZ #classification #kernel #metric #using

Time Series Classification Using Support Vector Machine with Gaussian Elastic Metric Kernel (DZ, WZ, DZ, HZ), pp. 29–32.

ICPR-2010-ZhouCW #classification #network #quantum

Deep Quantum Networks for Classification (SZ, QC, XW), pp. 2885–2888.

KDD-2010-AttenbergP #classification #learning #modelling #why

Why label when you can search?: alternatives to active learning for applying human resources to build classification models under extreme class imbalance (JA, FJP), pp. 423–432.

KDD-2010-DurrantK #analysis #classification #linear

Compressed fisher linear discriminant analysis: classification of randomly projected data (RJD, AK), pp. 1119–1128.

KDD-2010-FeiH #classification #functional #graph

Boosting with structure information in the functional space: an application to graph classification (HF, JH), pp. 643–652.

KDD-2010-KongY #classification #feature model #graph

Semi-supervised feature selection for graph classification (XK, PSY), pp. 793–802.

KDD-2010-YanFDR #classification

Medical coding classification by leveraging inter-code relationships (YY, GF, JGD, RR), pp. 193–202.

KDD-2010-YangJJZT #categorisation #classification

Unsupervised transfer classification: application to text categorization (TY, RJ, AKJ, YZ, WT), pp. 1159–1168.

KDD-2010-YuHCL #classification #in memory #linear #memory management #scalability

Large linear classification when data cannot fit in memory (HFY, CJH, KWC, CJL), pp. 833–842.

KDIR-2010-MuA #classification #graph #multi

Proximity-based Graph Embeddings for Multi-label Classification (TM, SA), pp. 74–84.

KDIR-2010-Onem #behaviour #classification #detection #network

Unwanted Behaviour Detection and Classification in Network Traffic (IMÖ), pp. 122–128.

KDIR-2010-Pavlovic-LazeticG #classification #concept #documentation

Ontology-driven Conceptual Document Classification (GPL, JG), pp. 383–386.

KDIR-2010-Schoneberg #classification #evaluation

Context Vector Classification — Term Classification with Context Evaluation (HS), pp. 387–391.

KDIR-2010-TsengPF #classification #markov #using

The Typhoon Track Classification using Tri-plots and Markov Chain (JCHT, HKKP, CF), pp. 364–369.

KDIR-2010-ViswanathBK #classification #nearest neighbour #performance #set

A Method to Generate a Reduced Training Set for Faster and Better Nearest Neighbor Classification (PV, VSB, TNK), pp. 232–236.

KEOD-2010-ChatterjeeKRD #automation #classification #email #ontology #using

Automatic Email Classification using user Preference Ontology (NC, SK, SR, VD), pp. 165–170.

KEOD-2010-FukumotoS #classification #identification

Identifying Domain-specific Senses and Its Application to Text Classification (FF, YS), pp. 263–268.

KEOD-2010-MollerSBEDS #classification #owl #representation

Representing the International Classification of Diseases Version 10 in OWL (MM, MS, RB, PE, AD, DS), pp. 50–59.

SEKE-2010-SilvaS #classification #data mining #knowledge base #mining #modelling #relational #testing

Modeling and Testing a Knowledge Base for Instructing Users to Choose the Classification Task in Relational Data Mining (LMdS, AEAdS), pp. 608–613.

SEKE-2010-WangKG #classification #feature model #quality

Ensemble Feature Selection Technique for Software Quality Classification (HW, TMK, KG), pp. 215–220.

SEKE-2010-XuanJRYL #automation #classification #debugging #using

Automatic Bug Triage using Semi-Supervised Text Classification (JX, HJ, ZR, JY, ZL), pp. 209–214.

SIGIR-2010-AwadallahRW #classification

Language-model-based pro/con classification of political text (RA, MR, GW), pp. 747–748.

SIGIR-2010-ChenYLZQ #classification #personalisation #predict #query #question

Predicting query potential for personalization, classification or regression? (CC, MY, SL, TZ, HQ), pp. 725–726.

SIGIR-2010-CuiZC #classification #video #web

Content-enriched classifier for web video classification (BC, CZ, GC), pp. 619–626.

SIGIR-2010-GoharianM #classification #query #using

Context aware query classification using dynamic query window and relationship net (NG, SSRM), pp. 723–724.

SIGIR-2010-GopalY #classification #multi

Multilabel classification with meta-level features (SG, YY), pp. 315–322.

SIGIR-2010-HongSBWJ #classification #probability

A joint probabilistic classification model for resource selection (DH, LS, PB, MW, TJ), pp. 98–105.

SIGIR-2010-HuangAH #classification #recommendation #tool support

Medical search and classification tools for recommendation (XH, AA, QH), p. 707.

SIGIR-2010-LiNCL #classification #image

Entropy descriptor for image classification (HL, JN, JC, HL), pp. 753–754.

SIGIR-2010-SallesRPMMG #algorithm #classification #documentation

Temporally-aware algorithms for document classification (TS, LCdR, GLP, FM, WMJ, MAG), pp. 307–314.

SIGIR-2010-SriramFDFD #classification #information management #twitter

Short text classification in twitter to improve information filtering (BS, DF, ED, HF, MD), pp. 841–842.

SIGIR-2010-ZhenY #classification #design #named

SED: supervised experimental design and its application to text classification (YZ, DYY), pp. 299–306.

SAC-2010-BicegoLOP #array #classification #modelling #topic #using

Expression microarray classification using topic models (MB, PL, BO, AP), pp. 1516–1520.

SAC-2010-ChandaFP #classification #documentation

Structural handwritten and machine print classification for sparse content and arbitrary oriented document fragments (SC, KF, UP), pp. 18–22.

SAC-2010-DelisVT #approach #classification

A data perturbation approach to sensitive classification rule hiding (AD, VSV, AAT), pp. 605–609.

SAC-2010-GaberS #classification #data type #distributed #network

Distributed data stream classification for wireless sensor networks (MMG, AMS), pp. 1629–1630.

SAC-2010-GuermaziHH #analysis #classification #image #using #web

Classification of violent web images using context based analysis (RG, MH, ABH), pp. 1768–1773.

SAC-2010-LanLSH #algorithm #classification #image #using

An improved K-view algorithm for image texture classification using new characteristic views selection methods (YL, HL, ES, CCH), pp. 959–963.

SAC-2010-MenorBBGP #classification #markov #taxonomy #using

Virus DNA-fragment classification using taxonomic hidden Markov model profiles (MM, KB, MB, YG, GP), pp. 1567–1571.

SAC-2010-OhCM #classification #information management

Combining global and local information for enhanced deep classification (HSO, YC, SHM), pp. 1760–1767.

SAC-2010-SillaKK #automation #classification #hybrid #music

Improving automatic music genre classification with hybrid content-based feature vectors (CNSJ, ALK, CAAK), pp. 1702–1707.

SAC-2010-ZhangW #classification #image #representation

Image representation and classification based on data compression (NZ, TW), pp. 981–982.

SPLC-2010-TekinerdoganTS #approach #classification #multi #product line

Multidimensional Classification Approach for Defining Product Line Engineering Transition Strategies (BT, ET, ES), pp. 461–465.

CBSE-2009-BirkmeierO #classification #comparison #component #identification #on the #state of the art

On Component Identification Approaches — Classification, State of the Art, and Comparison (DB, SO), pp. 1–18.

WICSA-ECSA-2009-AboudAFHTUV #architecture #automation #classification #component #concept #using

Automated architectural component classification using concept lattices (NAA, GA, JRF, MH, CT, CU, SV), pp. 21–30.

WICSA-ECSA-2009-AngelovGG #architecture #classification #effectiveness

A classification of software reference architectures: Analyzing their success and effectiveness (SA, PWPJG, DG), pp. 141–150.

CASE-2009-MakkapatiAA #classification #image #segmentation

Segmentation and classification of tuberculosis bacilli from ZN-stained sputum smear images (VM, RA, RA), pp. 217–220.

DocEng-2009-ZubiagaMF #classification #social #web

Getting the most out of social annotations for web page classification (AZ, RM, VF), pp. 74–83.

DRR-2009-NonnemakerB #classification #using

Using synthetic data safely in classification (JN, HSB), pp. 1–10.

DRR-2009-Obafemi-AjayiAF #classification #documentation #image #performance

Efficient shape-LUT classification for document image restoration (TOA, GA, OF), pp. 1–10.

ICDAR-2009-AlaeiNP #classification

Fine Classification of Unconstrained Handwritten Persian/Arabic Numerals by Removing Confusion amongst Similar Classes (AA, PN, UP), pp. 601–605.

ICDAR-2009-AlyUFS #classification #statistics

Statistical Classification of Spatial Relationships among Mathematical Symbols (WA, SU, AF, MS), pp. 1350–1354.

ICDAR-2009-GordoV #classification #documentation #invariant #layout #retrieval

A Rotation Invariant Page Layout Descriptor for Document Classification and Retrieval (AG, EV), pp. 481–485.

ICDAR-2009-HeH09a #classification #estimation #online #using

Affine Distortion Compensation for an Isolated Online Handwritten Chinese Character Using Combined Orientation Estimation and HMM-Based Minimax Classification (TH, QH), pp. 1226–1230.

ICDAR-2009-LandreMR #classification #difference #image #using

Ornamental Letters Image Classification Using Local Dissimilarity Maps (JL, FMN, SR), pp. 186–190.

ICDAR-2009-LinsSSFSST #classification #documentation #image #quality

Image Classification to Improve Printing Quality of Mixed-Type Documents (RDL, GPeS, SJS, JF, MQS, PS, MT), pp. 1106–1110.

ICDAR-2009-PereiraC #classification #prototype

Prototype Selection for Handwritten Connected Digits Classification (CdSP, GDCC), pp. 1021–1025.

ICDAR-2009-SidereHR #classification #graph #representation

Vector Representation of Graphs: Application to the Classification of Symbols and Letters (NS, PH, JYR), pp. 681–685.

ICDAR-2009-VamvakasGP #classification #documentation #feature model #novel #recognition

A Novel Feature Extraction and Classification Methodology for the Recognition of Historical Documents (GV, BG, SJP), pp. 491–495.

ICDAR-2009-WangH #classification #design #fault #modelling #parametricity #precise #using

Design Compact Recognizers of Handwritten Chinese Characters Using Precision Constrained Gaussian Models, Minimum Classification Error Training and Parameter Compression (YW, QH), pp. 36–40.

ICDAR-2009-Washizawa #classification #metric

Pattern Classification on Local Metric Structure (YW), pp. 471–475.

ICDAR-2009-XuSGN #categorisation #classification #documentation

A Hierarchical Classification Model for Document Categorization (JWX, VS, VG, DN), pp. 486–490.

ITiCSE-2009-SkupasDR #classification #programming

Developing classification criteria for programming tasks (BS, VD, MAR), p. 373.

ICSM-2009-FerzundAW #classification #metric #using

Software change classification using hunk metrics (JF, SNA, FW), pp. 471–474.

DHM-2009-JeonJKH #classification #gender #using

Facial Gender Classification Using LUT-Based Sub-images and DIE (JBJ, SHJ, DJK, KSH), pp. 36–45.

HCI-NIMT-2009-MurakamiK #classification #music

Study of Feature Values for Subjective Classification of Music (MM, TK), pp. 701–709.

HCI-NT-2009-LiuUC #3d #classification #interface

Goods-Finding and Orientation in the Elderly on 3D Virtual Store Interface: The Impact of Classification and Landmarks (CLL, STU, CHC), pp. 474–483.

HIMI-DIE-2009-IshibashiN #classification

Metadata-Based Reminder Classification in Reminiscence Engineering (MI, YN), pp. 412–418.

HIMI-DIE-2009-SrinivasSPK #classification #feature model #performance #using

Efficient Text Classification Using Best Feature Selection and Combination of Methods (MS, KPS, EVP, SAK), pp. 437–446.

ICEIS-AIDSS-2009-TamargoGABQ #classification

Decision Support System for Classification of Natural Risk in Maritime Construction (MAGT, ASAG, VCA, ABT, AAQ), pp. 138–143.

ICEIS-AIDSS-2009-ZhengZLL #case study #classification #image #multi

Study on Image Classification based on SVM and the Fusion of Multiple Features (DZ, TZ, SL, YL), pp. 80–84.

ICEIS-J-2009-ChangS #analysis #classification #performance

Fast Unsupervised Classification for Handwritten Stroke Analysis (WDC, JS), pp. 918–927.

ICEIS-J-2009-GhezziRB #classification #mobile

A Technology Classification Model for Mobile Content and Service Delivery Platforms (AG, FR, RB), pp. 600–614.

ICEIS-J-2009-GimenezHL #classification

A Hierarchical Product-Property Model to Support Product Classification and Manage Structural and Planning Data (DMG, GPH, HPL), pp. 639–650.

ICEIS-J-2009-PapatheocharousA #classification #fuzzy #predict

Classification and Prediction of Software Cost through Fuzzy Decision Trees (EP, ASA), pp. 234–247.

ICEIS-SAIC-2009-LeeLK #classification #using

Blog Classification using K-means (KJL, ML, WK), pp. 61–67.

CIKM-2009-ArguelloCD #classification

Classification-based resource selection (JA, JC, FD), pp. 1277–1286.

CIKM-2009-BatalH #classification #using

Boosting KNN text classification accuracy by using supervised term weighting schemes (IB, MH), pp. 2041–2044.

CIKM-2009-CaoSXHYC #classification #named #personalisation #query

PQC: personalized query classification (BC, JTS, EWX, DHH, QY, ZC), pp. 1217–1226.

CIKM-2009-ChenLQZ #classification

Instance- and bag-level manifold regularization for aggregate outputs classification (SC, BL, MQ, CZ), pp. 1593–1596.

CIKM-2009-ChenTJ #classification #detection #framework #social #social media #web

A co-classification framework for detecting web spam and spammers in social media web sites (FC, PNT, AKJ), pp. 1807–1810.

CIKM-2009-ChinavleKOF #classification

Ensembles in adversarial classification for spam (DC, PK, TO, TF), pp. 2015–2018.

CIKM-2009-GargS #classification #learning

Active learning in partially supervised classification (PG, SS), pp. 1783–1786.

CIKM-2009-HolzeGR #classification #consistency #online

Consistent on-line classification of dbs workload events (MH, CG, NR), pp. 1641–1644.

CIKM-2009-JinYW #classification #graph

Graph classification based on pattern co-occurrence (NJ, CY, WW), pp. 573–582.

CIKM-2009-KimPDG #classification #graph #web

Improving web page classification by label-propagation over click graphs (SMK, PP, LD, SG), pp. 1077–1086.

CIKM-2009-KobayakawaKTOKT #analysis #classification #kernel #using

Opinion classification with tree kernel SVM using linguistic modality analysis (TSK, TK, HT, NO, JDK, JT), pp. 1791–1794.

CIKM-2009-LiuZ #classification #sentiment #using

Cross-domain sentiment classification using a two-stage method (KL, JZ), pp. 1717–1720.

CIKM-2009-MartineauFJP #classification #difference #problem #using #word

Improving binary classification on text problems using differential word features (JM, TF, AJ, SP), pp. 2019–2024.

CIKM-2009-QiuZHZ #classification #named #self #sentiment

SELC: a self-supervised model for sentiment classification (LQ, WZ, CH, KZ), pp. 929–936.

CIKM-2009-ShenLLZ #classification #query

Product query classification (DS, YL, XL, DZ), pp. 741–750.

CIKM-2009-ShenWCSYCL #classification

Exploiting term relationship to boost text classification (DS, JW, BC, JTS, QY, ZC, YL), pp. 1637–1640.

CIKM-2009-SunLL #case study #category theory #classification #performance #predict #what

What makes categories difficult to classify?: a study on predicting classification performance for categories (AS, EPL, YL), pp. 1891–1894.

CIKM-2009-XiongLZLFZZ #classification #information management #named #online #web

OfCourse: web content discovery, classification and information extraction for online course materials (YX, PL, YZ, FL, SF, BZ, LZ), pp. 2077–2078.

ECIR-2009-EsuliS #classification #learning #multi

Active Learning Strategies for Multi-Label Text Classification (AE, FS), pp. 102–113.

ECIR-2009-EsuliS09a #classification #encoding

Encoding Ordinal Features into Binary Features for Text Classification (AE, FS), pp. 771–775.

ECIR-2009-GanstererP #classification #email

E-Mail Classification for Phishing Defense (WNG, DP), pp. 449–460.

ECIR-2009-Pablo-SanchezM #classification #graph

Building a Graph of Names and Contextual Patterns for Named Entity Classification (CdPS, PM), pp. 530–537.

ICML-2009-Cesa-BianchiGO #bound #classification #robust

Robust bounds for classification via selective sampling (NCB, CG, FO), pp. 121–128.

ICML-2009-Li #adaptation #classification #multi #named

ABC-boost: adaptive base class boost for multi-class classification (PL0), pp. 625–632.

ICML-2009-PlathTN #classification #image #multi #random #segmentation #using

Multi-class image segmentation using conditional random fields and global classification (NP, MT, SN), pp. 817–824.

ICML-2009-UsunierBG #classification #order #ranking

Ranking with ordered weighted pairwise classification (NU, DB, PG), pp. 1057–1064.

ICML-2009-ZhuAX #classification #modelling #named #topic

MedLDA: maximum margin supervised topic models for regression and classification (JZ, AA, EPX), pp. 1257–1264.

KDD-2009-AmbekarWMMS #classification #open source

Name-ethnicity classification from open sources (AA, CBW, JM, SM, SS), pp. 49–58.

KDD-2009-FrankEK #approach #classification #multi

A multi-relational approach to spatial classification (RF, ME, AJK), pp. 309–318.

KDD-2009-FuxmanKGATS #automation #classification #using

Improving classification accuracy using automatically extracted training data (AF, AK, ABG, RA, PT, JCS), pp. 1145–1154.

KDD-2009-LoCHKS #approach #behaviour #classification #detection #mining

Classification of software behaviors for failure detection: a discriminative pattern mining approach (DL, HC, JH, SCK, CS), pp. 557–566.

KDD-2009-LuoLXZS #case study #classification #information management #towards #web

Towards combining web classification and web information extraction: a case study (PL, FL, YX, YZ, ZS), pp. 1235–1244.

KDD-2009-MelvilleGL #analysis #classification #sentiment

Sentiment analysis of blogs by combining lexical knowledge with text classification (PM, WG, RDL), pp. 1275–1284.

KDD-2009-OzonatY #classification #multi #statistics #towards #web

Towards a universal marketplace over the web: statistical multi-label classification of service provider forms with simulated annealing (KMO, DY), pp. 1295–1304.

KDD-2009-XueW #classification #quantifier

Quantification and semi-supervised classification methods for handling changes in class distribution (JCX, GMW), pp. 897–906.

KDD-2009-YangSWC #classification #effectiveness #learning #multi

Effective multi-label active learning for text classification (BY, JTS, TW, ZC), pp. 917–926.

KDD-2009-YinLMH #classification #graph #social #web

Exploring social tagging graph for web object classification (ZY, RL, QM, JH), pp. 957–966.

KDIR-2009-BalujaRS #classification #graph #performance

Text Classification through Time — Efficient Label Propagation in Time-Based Graphs (SB, DR, DS), pp. 174–182.

KDIR-2009-BruyneP #classification

2-class Eigen Transformation Classification Trees (SDB, FP), pp. 251–258.

KDIR-2009-GrosserRC #classification

Classification by Successive Neighborhood (DG, HR, NC), pp. 288–291.

KDIR-2009-VillalbaC #biology #case study #classification #generative #reduction

Artificial Data Generation for One-class Classification — A Case Study of Dimensionality Reduction for Text and Biological Data (SDV, PC), pp. 202–210.

KEOD-2009-ReinekingSH #classification #ontology #statistics

Evidential Combination of Ontological and Statistical Information for Active Scene Classification (TR, NS, JH), pp. 72–79.

MLDM-2009-GoncalvesQ #classification #kernel #semantics #using

Using Graph-Kernels to Represent Semantic Information in Text Classification (TG, PQ), pp. 632–646.

MLDM-2009-KobayashiS #classification #distributed #linear #representation #using

A Linear Classification Method in a Very High Dimensional Space Using Distributed Representation (TK, IS), pp. 137–147.

MLDM-2009-MoedS #classification #performance

Efficient AdaBoost Region Classification (MM, ENS), pp. 123–136.

MLDM-2009-SilvaSNPJN #classification #geometry #image #metric #using

Lung Nodules Classification in CT Images Using Simpson’s Index, Geometrical Measures and One-Class SVM (CAdS, ACS, SMBN, ACdP, GBJ, RAN), pp. 810–822.

MLDM-2009-StahlBA #classification #composition #framework #induction #named #parallel

PMCRI: A Parallel Modular Classification Rule Induction Framework (FTS, MAB, MA), pp. 148–162.

MLDM-2009-WangZ #classification #kernel

Optimal Double-Kernel Combination for Classification (FW, HZ), pp. 107–122.

MLDM-2009-ZhuFF #classification #privacy

Preserving Privacy in Time Series Data Classification by Discretization (YZ, YF, HF), pp. 53–67.

SEKE-2009-AzizZM #classification #requirements #towards

Towards a Classification of Requirements Relationships (RAA, DZ, TM), pp. 26–32.

SIGIR-2009-BennettN #classification #scalability #taxonomy

Refined experts: improving classification in large taxonomies (PNB, NN), pp. 11–18.

SIGIR-2009-CaoHSJSCY #classification #query

Context-aware query classification (HC, DHH, DS, DJ, JTS, EC, QY), pp. 3–10.

SIGIR-2009-HongD #approach #classification

A classification-based approach to question answering in discussion boards (LH, BDD), pp. 171–178.

SIGIR-2009-LiSDZ #classification #sentiment

Knowledge transformation for cross-domain sentiment classification (TL, VS, CHQD, YZ), pp. 716–717.

SIGIR-2009-TomasikTT #classification #image #using

Tagging products using image classification (BT, PT, DT), pp. 792–793.

TOOLS-EUROPE-2009-KloseO #aspect-oriented #classification #framework #monitoring #runtime

A Classification Framework for Pointcut Languages in Runtime Monitoring (KK, KO), pp. 289–307.

RE-2009-SalinesiRDM #classification #fault #feature model #modelling #product line #towards #verification

Looking for Product Line Feature Models Defects: Towards a Systematic Classification of Verification Criteria (CS, CR, DD, RM), pp. 385–386.

SAC-2009-AraujoSSF #classification #named #sequence #type system

HIVSetSubtype: software for subtype classification of HIV-1 sequences (LVdA, SSS, ECS, JEF), pp. 811–815.

SAC-2009-BrooksI #classification #detection #novel #visual notation

Visual detection of novel terrain via two-class classification (CAB, KI), pp. 1145–1150.

SAC-2009-FalconeFM #classification #monitoring

Enforcement monitoring wrt. the safety-progress classification of properties (YF, JCF, LM), pp. 593–600.

SAC-2009-FangLHVAZ #classification #image

Facial image classification of mouse embryos for the animal model study of fetal alcohol syndrome (SF, YL, JH, SVB, BA, FZ), pp. 852–856.

SAC-2009-LiuDSYH #algorithm #classification #image #invariant #using

A new K-View algorithm for texture image classification using rotation-invariant feature (HL, SD, ES, CY, CCH), pp. 914–921.

SAC-2009-PlattMG #classification #detection #topic

Improving classification based off-topic search detection via category relationships (AP, SSRM, NG), pp. 869–874.

SAC-2009-ShaLW #classification #using #visual notation

Foreground classification using active template in the scene context for visual surveillance (XS, XL, JW), pp. 943–944.

CBSE-2008-ParrendF #classification #component #java #programming

Classification of Component Vulnerabilities in Java Service Oriented Programming (SOP) Platforms (PP, SF), pp. 80–96.

DRR-2008-Obafemi-AjayiAF #classification #documentation

Ensemble LUT classification for degraded document enhancement (TOA, GA, OF), p. 681509.

DRR-2008-ReddyG #classification

Form classification (KVUR, VG), p. 68150.

DRR-2008-ZavorinBDBS #classification #recognition #word

Combining different classification approaches to improve off-line Arabic handwritten word recognition (IZ, EB, ED, AB, KMS), p. 681504.

SIGMOD-2008-AndoniFKPS #classification #performance #rank #similarity

Corrigendum to “efficient similarity search and classification via rank aggregation” by Ronald Fagin, Ravi Kumar and D. Sivakumar (proc. SIGMOD’03) (AA, RF, RK, MP, DS), pp. 1375–1376.

SIGMOD-2008-PatelHL #classification #mining

Mining relationships among interval-based events for classification (DP, WH, MLL), pp. 393–404.

VLDB-2008-LeeHLG #classification #clustering #named #using

TraClass: trajectory classification using hierarchical region-based and trajectory-based clustering (JGL, JH, XL, HG), pp. 1081–1094.

EDOC-2008-BaglioniBFST #classification #ontology

Ontology-Based Business Plan Classification (MB, AB, BF, LS, FT), pp. 365–371.

ICEIS-AIDSS-2008-AccianiFMM #classification #feature model #search-based #statistics

Genetic Feature Selection and Statistical Classification of Voids in Concrete Structure (GA, GF, DM, DM), pp. 231–234.

ICEIS-AIDSS-2008-StateCRP #algorithm #classification #learning

A New Learning Algorithm for Classification in the Reduced Space (LS, CC, IR, PV), pp. 155–160.

CIKM-2008-FeiH #classification #feature model #graph

Structure feature selection for graph classification (HF, JH), pp. 991–1000.

CIKM-2008-Forman #classification #representation #scalability

BNS feature scaling: an improved representation over tf-idf for svm text classification (GF), pp. 263–270.

CIKM-2008-FormanK #classification #feature model #performance

Extremely fast text feature extraction for classification and indexing (GF, EK), pp. 1221–1230.

CIKM-2008-RochaMPGM #classification

Exploiting temporal contexts in text classification (LCdR, FM, AMP, MAG, WMJ), pp. 243–252.

CIKM-2008-RosenfeldFU #classification #sequence #using #web

Using sequence classification for filtering web pages (BR, RF, LHU), pp. 1355–1356.

CIKM-2008-SongZG #classification #framework #performance #process

A sparse gaussian processes classification framework for fast tag suggestions (YS, LZ, CLG), pp. 93–102.

CIKM-2008-ZhangJYM #classification #effectiveness #retrieval

Improve the effectiveness of the opinion retrieval and opinion polarity classification (WZ, LJ, CTY, WM), pp. 1415–1416.

ECIR-2008-FishbeinE #classification #encoding

Integrating Structure and Meaning: A New Method for Encoding Structure for Text Classification (JMF, CE), pp. 514–521.

ECIR-2008-FishbeinE08a #classification #modelling #semantics

Methods for Augmenting Semantic Models with Structural Information for Text Classification (JMF, CE), pp. 575–579.

ECIR-2008-KritharaARG #classification #documentation #fault

Semi-supervised Document Classification with a Mislabeling Error Model (AK, MRA, JMR, CG), pp. 370–381.

ECIR-2008-WiegandK #classification #modelling #optimisation

Optimizing Language Models for Polarity Classification (MW, DK), pp. 612–616.

ICML-2008-CatanzaroSK #classification #performance

Fast support vector machine training and classification on graphics processors (BCC, NS, KK), pp. 104–111.

ICML-2008-CevikalpTP #classification

Nearest hyperdisk methods for high-dimensional classification (HC, BT, RP), pp. 120–127.

ICML-2008-DredzeCP #classification #linear

Confidence-weighted linear classification (MD, KC, FP), pp. 264–271.

ICML-2008-LarochelleB #classification #strict #using

Classification using discriminative restricted Boltzmann machines (HL, YB), pp. 536–543.

ICML-2008-LiLT #classification #constraints #programming

Pairwise constraint propagation by semidefinite programming for semi-supervised classification (ZL, JL, XT), pp. 576–583.

ICML-2008-LongS #classification #random

Random classification noise defeats all convex potential boosters (PML, RAS), pp. 608–615.

ICML-2008-Nijssen #classification

Bayes optimal classification for decision trees (SN), pp. 696–703.

ICML-2008-OBrienGG #classification #multi #probability

Cost-sensitive multi-class classification from probability estimates (DBO, MRG, RMG), pp. 712–719.

ICML-2008-SeldinT #category theory #classification #clustering #multi

Multi-classification by categorical features via clustering (YS, NT), pp. 920–927.

ICML-2008-SriperumbudurLL #classification #kernel #metric

Metric embedding for kernel classification rules (BKS, OAL, GRGL), pp. 1008–1015.

ICPR-2008-Abd-AlmageedASD #classification #hybrid #using

Document-zone classification using partial least squares and hybrid classifiers (WAA, MA, WS, DSD), pp. 1–4.

ICPR-2008-CaoBLLH #classification #word

Audio-visual event classification via spatial-temporal-audio words (YC, SB, SHL, ML, SH), pp. 1–5.

ICPR-2008-Dahyot #classification #statistics

Bayesian classification for the Statistical Hough transform (RD), pp. 1–4.

ICPR-2008-DehzangiMCL #classification #fuzzy #learning #speech #using

Fuzzy rule selection using Iterative Rule Learning for speech data classification (OD, BM, CES, HL), pp. 1–4.

ICPR-2008-DeselaersPN #classification #image #modelling

Bag-of-visual-words models for adult image classification and filtering (TD, LP, HN), pp. 1–4.

ICPR-2008-EskofierHK #classification

Classification of perceived running fatigue in digital sports (BE, FH, PK), pp. 1–4.

ICPR-2008-GamboaF #classification #nondeterminism #testing

Uncertainty based classification fusion — a soft-biometrics test case (HG, ALNF), pp. 1–4.

ICPR-2008-GeorgeKK #classification #hybrid

Hybrid wavelet support vector classification of temporal bone abnormalities (JG, STK, RK), pp. 1–4.

ICPR-2008-GhoshM #classification #documentation #kernel #similarity #using #xml

Combining content and structure similarity for XML document classification using composite SVM kernels (SG, PM), pp. 1–4.

ICPR-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.

ICPR-2008-GuoFDH #classification #estimation #question

Head pose estimation: Classification or regression? (GG, YF, CRD, TSH), pp. 1–4.

ICPR-2008-HadidP #classification #gender #sequence #video

Combining motion and appearance for gender classification from video sequences (AH, MP), pp. 1–4.

ICPR-2008-KokiopoulouPF #classification #graph #multi

Graph-based classification for multiple observations of transformed patterns (EK, SP, PF), pp. 1–4.

ICPR-2008-KottiK #classification #database #gender #speech

Gender classification in two Emotional Speech databases (MK, CK), pp. 1–4.

ICPR-2008-LiuJ #classification #multi

Violence classification based on shape variations from multiple views (FL, YJ), pp. 1–4.

ICPR-2008-LuFJW #classification #framework #learning #metric #reduction #visualisation

Metric Learning: A general dimension reduction framework for classification and visualization (CL, GF, JJ, PSPW), pp. 1–4.

ICPR-2008-MunizCR #classification #independence

Use of band ratioing for building illumination independent texture classification systems (RM, JAC, MRS), pp. 1–4.

ICPR-2008-PesarinCMDPT #automation #classification #statistics

A statistical signature for automatic dialogue classification (AP, MC, VM, CD, AP, AT), pp. 1–4.

ICPR-2008-PiccardiGO #classification #modelling #reduction

Maximum-likelihood dimensionality reduction in gaussian mixture models with an application to object classification (MP, HG, AFO), pp. 1–4.

ICPR-2008-RavesteijnVSTV #classification

Thin layer tissue classification for electronic cleansing of CT colonography data (VFvR, FMV, IS, RT, LJvV), pp. 1–5.

ICPR-2008-Sakai #approach #classification #incremental #monte carlo

Monte Carlo subspace method: An incremental approach to high-dimensional data classification (TS), pp. 1–4.

ICPR-2008-ScalzoBNLT #classification #gender

Feature Fusion Hierarchies for gender classification (FS, GB, MN, LAL, AT), pp. 1–4.

ICPR-2008-SeiffertKHN #classification #named #performance

RUSBoost: Improving classification performance when training data is skewed (CS, TMK, JVH, AN), pp. 1–4.

ICPR-2008-SerCY #classification #hybrid #recognition #speech

A Hybrid PNN-GMM classification scheme for speech emotion recognition (WS, LC, ZLY), pp. 1–4.

ICPR-2008-SharmaCS #classification #kernel

Bag-of-features kernel eigen spaces for classification (GS, SC, JBS), pp. 1–4.

ICPR-2008-ShidaraKN #classification #consistency

Classification by bagged consistent itemset rules (YS, MK, AN), pp. 1–4.

ICPR-2008-SongT #classification

C1 units for scene classification (DS, DT), pp. 1–4.

ICPR-2008-SunQ #classification #network

Dynamic target classification in wireless sensor networks (YS, HQ), pp. 1–4.

ICPR-2008-TarghiGZ #classification #image

Texture classification with minimal training images (ATT, JMG, AZ), pp. 1–4.

ICPR-2008-TeynorB #classification

Wavelet-based salient points with scale information for classification (AT, HB), pp. 1–5.

ICPR-2008-TominagaY #classification

Metal-dielectric object classification by polarization degree map (ST, TY), pp. 1–4.

ICPR-2008-VillS #analysis #automation #classification

Automated stroke ending analysis for drawing tool classification (MCV, RS), pp. 1–4.

ICPR-2008-WangC #classification #semantics #using

Film shot classification using directing semantics (HLW, LFC), pp. 1–4.

ICPR-2008-WangI #classification #image #markov #modelling #multi #semantics

Combining multiple spatial hidden Markov models in image semantic classification and annotation (LW, HHSI), pp. 1–4.

ICPR-2008-WuF #3d #classification #learning #multi #using

Multiple view based 3D object classification using ensemble learning of local subspaces (JW, KF), pp. 1–4.

ICPR-2008-WuSH #classification #gender

Gender classification based on facial surface normals (JW, WAPS, ERH), pp. 1–4.

ICPR-2008-YarlagaddaOM #3d #classification #distance

Lie group distance based generic 3-d vehicle classification (PY, ÖCÖ, JLM), pp. 1–4.

ICPR-2008-YuS #classification #visual notation

FastWavelet-Based Visual Classification (GY, JJES), pp. 1–5.

ICPR-2008-YuW #3d #classification #clustering #knowledge base

Knowledge based cluster ensemble for 3D head model classification (ZY, HSW), pp. 1–4.

ICPR-2008-ZhangLHT #automation #classification

Boosting local feature descriptors for automatic objects classification in traffic scene surveillance (ZZ, ML, KH, TT), pp. 1–4.

ICPR-2008-ZhouWS #classification #process #recognition #using

Human motion recognition using Gaussian Processes classification (HZ, LW, DS), pp. 1–4.

KDD-2008-BilgicG #classification #effectiveness

Effective label acquisition for collective classification (MB, LG), pp. 43–51.

KDD-2008-ChenJCLWY #classification #kernel #learning

Learning subspace kernels for classification (JC, SJ, BC, QL, MW, JY), pp. 106–114.

KDD-2008-ChenW #classification #feature model #metric #named #performance #problem

FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems (XwC, MW), pp. 124–132.

KDD-2008-Christen #automation #classification #nearest neighbour #using

Automatic record linkage using seeded nearest neighbour and support vector machine classification (PC), pp. 151–159.

KDD-2008-FormanR #classification #file system #scalability

Scaling up text classification for large file systems (GF, SR), pp. 239–246.

KDD-2008-GallagherTEF #classification #network #using

Using ghost edges for classification in sparsely labeled networks (BG, HT, TER, CF), pp. 256–264.

KDD-2008-GodboleR #analysis #automation #classification #industrial

Text classification, business intelligence, and interactivity: automating C-Sat analysis for services industry (SG, SR), pp. 911–919.

KDD-2008-JiTYY #classification #multi

Extracting shared subspace for multi-label classification (SJ, LT, SY, JY), pp. 381–389.

KDD-2008-NguyenC #classification

Classification with partial labels (NN, RC), pp. 551–559.

KDD-2008-SunJY #classification #learning #multi

Hypergraph spectral learning for multi-label classification (LS, SJ, JY), pp. 668–676.

KDD-2008-WangD #classification #kernel #semantics #using #wiki

Building semantic kernels for text classification using wikipedia (PW, CD), pp. 713–721.

SEKE-2008-Chao #classification #data type #privacy

Privacy-preserving Classification of Data Streams (CMC), pp. 603–606.

SEKE-2008-FollecoKB #classification #quality

Analyzing the Impact of Attribute Noise on Software Quality Classification (AF, TMK, LAB), pp. 73–78.

SIGIR-2008-Banerjee #classification #corpus #modelling #topic #using

Improving text classification accuracy using topic modeling over an additional corpus (SB), pp. 867–868.

SIGIR-2008-CrainHZ #classification #scalability

A scalable assistant librarian: hierarchical subject classification of books (SPC, JH, HZ), pp. 799–800.

SIGIR-2008-ElgersmaR #classification

Personal vs non-personal blogs: initial classification experiments (EE, MdR), pp. 723–724.

SIGIR-2008-PanTLL #classification #kernel #semantics

Question classification with semantic tree kernel (YP, YT, LL, YL), pp. 837–838.

SIGIR-2008-WestDHJ #classification #music #visualisation

Dynamic visualization of music classification systems (KW, JSD, XH, MCJ), p. 888.

SIGIR-2008-WuO #classification #topic

Bilingual topic aspect classification with a few training examples (YW, DWO), pp. 203–210.

SIGIR-2008-XueDYY #classification #topic

Topic-bridged PLSA for cross-domain text classification (GRX, WD, QY, YY), pp. 627–634.

SIGIR-2008-XueXYY #classification #scalability

Deep classification in large-scale text hierarchies (GRX, DX, QY, YY), pp. 619–626.

ECMDA-FA-2008-GoldschmidtBU #classification #syntax

Classification of Concrete Textual Syntax Mapping Approaches (TG, SB, AU), pp. 169–184.

SAC-2008-BechiniTV #classification #documentation #ontology

Enabling ontology-based document classification and management in ebXML registries (AB, AT, JV), pp. 1145–1150.

SAC-2008-ChenC #classification #web

Web page genre classification (GC, BC), pp. 2353–2357.

SAC-2008-HanaFOB #classification

Crime scene classification (ROAH, COdAF, LSO, FB), pp. 419–423.

SAC-2008-Hassan #automation #classification #open source

Automated classification of change messages in open source projects (AEH), pp. 837–841.

SAC-2008-LucasCD #classification #fuzzy

General type-2 fuzzy classifiers to land cover classification (LAL, TMC, MRD), pp. 1743–1747.

SAC-2008-NhatL #classification #visualisation

k-means discriminant maps for data visualization and classification (VDMN, SL), pp. 1187–1191.

SAC-2008-NollM #classification #documentation #social #web

Exploring social annotations for web document classification (MGN, CM), pp. 2315–2320.

SAC-2008-RadtkeSW #algorithm #classification #using

Using the RRT algorithm to optimize classification systems for handwritten digits and letters (PVWR, RS, TW), pp. 1748–1752.

SAC-2008-ShaoYN #classification

Strangeness-based feature weighting and classification of gene expression profiles (HS, BY, JHN), pp. 1292–1296.

PPoPP-2008-ChengCHT #classification #manycore #scalability #using

Scalable packet classification using interpreting: a cross-platform multi-core solution (HC, ZC, BH, XT), pp. 33–42.

CASE-2007-McVittieSMMLHM #automation #classification #using

Automated Classification of Macrophage Membrane Integrity using a Fluorescent Live/Dead Stain (PM, CSS, TWM, SM, MEL, MH, DRM), pp. 554–559.

DATE-2007-NarayananHMCZ #classification #implementation #interactive

Interactive presentation: An FPGA implementation of decision tree classification (RN, DH, GM, ANC, JZ), pp. 189–194.

DocEng-2007-LiSGR #adaptation #categorisation #classification

Adapting associative classification to text categorization (BL, NS, EVG, AR), pp. 205–208.

DRR-2007-JoutelEBE #classification #feature model

Curvelets based feature extraction of handwritten shapes for ancient manuscripts classification (GJ, VE, SB, HE).

HT-2007-LeveringCY #classification #html #visual notation

Visual features in genre classification of html (RL, MC, LY), pp. 51–52.

HT-2007-WuZM #classification #collaboration #evolution

Collaborative classification of growing collections with evolving facets (HW, MZ, KM), pp. 167–170.

ICDAR-2007-AnBX #classification #documentation

Iterated Document Content Classification (CA, HSB, PX), pp. 252–256.

ICDAR-2007-Dengel #classification #documentation #learning

Learning of Pattern-Based Rules for Document Classification (AD), pp. 123–127.

ICDAR-2007-KalvaEK #classification #image #web

WEB Image Classification Based on the Fusion of Image and Text Classifiers (PRK, FE, ALK), pp. 561–568.

ICDAR-2007-SundaramR #classification #novel #online #recognition

A Novel Hierarchical Classification Scheme for Online Tamil Character Recognition (SS, AR), pp. 1218–1222.

ICDAR-2007-ZhouLQA #classification #markov #random

Text/Non-text Ink Stroke Classification in Japanese Handwriting Based on Markov Random Fields (XDZ, CLL, SQ, ÉA), pp. 377–381.

ICSM-2007-LuccaFT #classification #concept analysis #using #web

Web Pages Classification using Concept Analysis (GADL, ARF, PT), pp. 385–394.

ILC-2007-Borden #classification #using

Classification using conditional probabilities and Shannon’s definition of information (AB), p. 15.

DHM-2007-WangYHWJJLZ #classification #hybrid

A Hybrid AB-RBF Classifier for Surface Electromyography Classification (RW, YY, XH, FW, DJ, XJ, FL, JZ), pp. 727–735.

HCI-AS-2007-LiYG #classification #network #realtime #towards

Traffic Classification — Towards Accurate Real Time Network Applications (ZL, RY, XG), pp. 67–76.

HCI-IPT-2007-LiuS #classification #interactive #visual notation

Interactive Visual Decision Tree Classification (YL, GS), pp. 92–105.

HCI-MIE-2007-ChungK #classification #using

Classification of a Person Picture and Scenery Picture Using Structured Simplicity (MBC, IJK), pp. 821–828.

HCI-MIE-2007-HilligesKPBK #analysis #automation #classification #image #quality #sorting #using

Browsing and Sorting Digital Pictures Using Automatic Image Classification and Quality Analysis (OH, PK, AP, AB, HPK), pp. 882–891.

HCI-MIE-2007-Shirehjini #classification #interactive #multi

A Multidimensional Classification Model for the Interaction in Reactive Media Rooms (AANS), pp. 431–439.

HIMI-MTT-2007-MarucciLC #approach #classification #fuzzy #using

Computer Classification of Injury Narratives Using a Fuzzy Bayes Approach: Improving the Model (HRM, MRL, HLC), pp. 500–506.

HIMI-MTT-2007-NoorinaeiniLW #classification #composition #hybrid

Hybrid Singular Value Decomposition: A Model of Human Text Classification (AN, MRL, SjW), pp. 517–525.

OCSC-2007-CarcilloR #bottom-up #classification #top-down

Tags for Citizens: Integrating Top-Down and Bottom-Up Classification in the Turin Municipality Website (FC, LR), pp. 256–264.

EDOC-2007-Dijkman #classification #difference

A Classification of Differences between Similar BusinessProcesses (RMD), pp. 37–50.

ICEIS-AIDSS-2007-KrohaR #classification #using

Using Grammars for Text Classification (PK, TR), pp. 259–264.

ICEIS-AIDSS-2007-StateCPS #approach #classification

A Connectionist Approach in Bayesian Classification (LS, CC, PV, VS), pp. 185–190.

CIKM-2007-ErtekinHBG #classification #learning

Learning on the border: active learning in imbalanced data classification (SE, JH, LB, CLG), pp. 127–136.

CIKM-2007-FortunaRM #analysis #classification #network #social

Improving the classification of newsgroup messages through social network analysis (BF, EMR, NMF), pp. 877–880.

CIKM-2007-WangL #classification #interactive

Reconstructing ddc for interactive classification (JW, MCL), pp. 137–146.

CIKM-2007-ZhangLYSLM #classification #effectiveness #query #recognition #retrieval

Recognition and classification of noun phrases in queries for effective retrieval (WZ, SL, CTY, CS, FL, WM), pp. 711–720.

ECIR-2007-BettsMO #classification #information management

The Utility of Information Extraction in the Classification of Books (TB, MM, JO), pp. 295–306.

ECIR-2007-BloehdornM #classification #kernel #semantics

Combined Syntactic and Semantic Kernels for Text Classification (SB, AM), pp. 307–318.

ECIR-2007-MeloS #classification #multi #ontology #using

Multilingual Text Classification Using Ontologies (GdM, SS), pp. 541–548.

ECIR-2007-MerkelK #classification #modelling #query

Language Model Based Query Classification (AM, DK), pp. 720–723.

ECIR-2007-NeumayerR #classification #information retrieval #integration #music

Integration of Text and Audio Features for Genre Classification in Music Information Retrieval (RN, AR), pp. 724–727.

ECIR-2007-QuarteroniMMB #classification #ranking

Advanced Structural Representations for Question Classification and Answer Re-ranking (SQ, AM, SM, RB), pp. 234–245.

ICML-2007-AmitFSU #classification #multi

Uncovering shared structures in multiclass classification (YA, MF, NS, SU), pp. 17–24.

ICML-2007-BhattacharyaBC #classification #kernel

Structural alignment based kernels for protein structure classification (SB, CB, NRC), pp. 73–80.

ICML-2007-ChenJ #classification #feature model #set

Minimum reference set based feature selection for small sample classifications (XwC, JCJ), pp. 153–160.

ICML-2007-LiaoLC #classification #semistructured data

Quadratically gated mixture of experts for incomplete data classification (XL, HL, LC), pp. 553–560.

ICML-2007-UrtasunD #classification #process

Discriminative Gaussian process latent variable model for classification (RU, TD), pp. 927–934.

ICML-2007-WangZZ #array #classification #hybrid

Hybrid huberized support vector machines for microarray classification (LW, JZ, HZ), pp. 983–990.

ICML-2007-ZhangXSGL #classification #metric

Optimal dimensionality of metric space for classification (WZ, XX, ZS, YFG, HL), pp. 1135–1142.

ICML-2007-ZhangY #classification #consistency #constraints #on the

On the value of pairwise constraints in classification and consistency (JZ, RY), pp. 1111–1118.

KDD-2007-Aggarwal #classification #data type #framework #segmentation

A framework for classification and segmentation of massive audio data streams (CCA), pp. 1013–1017.

KDD-2007-AggarwalY #classification #data type #on the #string

On string classification in data streams (CCA, PSY), pp. 36–45.

KDD-2007-ChaovalitwongseFS #classification #process

Support feature machine for classification of abnormal brain activity (WAC, YJF, RCS), pp. 113–122.

KDD-2007-DaiXYY #classification #clustering #documentation

Co-clustering based classification for out-of-domain documents (WD, GRX, QY, YY), pp. 210–219.

KDD-2007-DasguptaDHJM #classification #feature model

Feature selection methods for text classification (AD, PD, BH, VJ, MWM), pp. 230–239.

KDD-2007-DruckPMZ #classification #generative #hybrid

Semi-supervised classification with hybrid generative/discriminative methods (GD, CP, AM, XZ), pp. 280–289.

KDD-2007-LuoXLS #classification #distributed #network #peer-to-peer

Distributed classification in peer-to-peer networks (PL, HX, KL, ZS), pp. 968–976.

KDD-2007-YanTS #classification #multi

Model-shared subspace boosting for multi-label classification (RY, JT, JRS), pp. 834–843.

MLDM-2007-CoenenLSW #classification #identification #statistics

Statistical Identification of Key Phrases for Text Classification (FC, PHL, RS, YJW), pp. 838–853.

MLDM-2007-Kertesz-FarkasKP #classification #equivalence #learning

Equivalence Learning in Protein Classification (AKF, AK, SP), pp. 824–837.

MLDM-2007-MartinsSSPG #classification #image #using

Classification of Breast Masses in Mammogram Images Using Ripley’s K Function and Support Vector Machine (LdOM, ECdS, ACS, ACdP, MG), pp. 784–794.

MLDM-2007-WangLYC #classification #data type #fuzzy #incremental #mining

An Incremental Fuzzy Decision Tree Classification Method for Mining Data Streams (TW, ZL, YY, HC), pp. 91–103.

MLDM-2007-WangXC #approach #classification #mining #novel

A Novel Rule Ordering Approach in Classification Association Rule Mining (YJW, QX, FC), pp. 339–348.

MLDM-2007-YuL #approach #classification #graph #named

PE-PUC: A Graph Based PU-Learning Approach for Text Classification (SY, CL), pp. 574–584.

RecSys-2007-PronkVPT #classification #naive bayes #recommendation

Incorporating user control into recommender systems based on naive bayesian classification (VP, WFJV, AP, MT), pp. 73–80.

SEKE-2007-AlencarRSF #classification #modelling #probability #project management

Combining Decorated Classification Trees with RCPS Stochastic Models to Gain New Valuable Insights into Software Project Management (AJA, GGR, EAS, ALF), pp. 151–156.

SEKE-2007-CordeiroGES #classification #constraints #database #design #version control

A Deep Classification of Temporal Versioned Integrity Constraints for Designing Database Applications (RLFC, RdMG, NE, CSdS), pp. 416–421.

SEKE-2007-DongZ #classification #design pattern

Classification of Design Pattern Traits (JD, YZ), p. 473–?.

SEKE-2007-LiZXS #classification #component #generative #ontology #retrieval

Ontology Based Classification Generating Method for Browsing-Based Component Retrieval (GL, LZ, BX, WS), p. 428–?.

SIGIR-2007-BeitzelJCF #classification #query #topic #web

Varying approaches to topical web query classification (SMB, ECJ, AC, OF), pp. 783–784.

SIGIR-2007-BroderFGJJZ #classification #query #robust #using #web

Robust classification of rare queries using web knowledge (AZB, MF, EG, AJ, VJ, TZ), pp. 231–238.

SIGIR-2007-FanGL #automation #classification #image

Hierarchical classification for automatic image annotation (JF, YG, HL), pp. 111–118.

SIGIR-2007-HuDGX #classification #documentation #locality

Locality discriminating indexing for document classification (JH, WD, JG, WX), pp. 689–690.

SIGIR-2007-KyriakopoulouK #classification #clustering #using

Using clustering to enhance text classification (AK, TK), pp. 805–806.

SIGIR-2007-OlssonO #classification

Improving text classification for oral history archives with temporal domain knowledge (JSO, DWO), pp. 623–630.

SIGIR-2007-StaffB #automation #category theory #classification #web

Automatic classification of web pages into bookmark categories (CS, IB), pp. 731–732.

SIGIR-2007-ZhangL #classification #semantics

Semantic text classification of disease reporting (YZ, BL), pp. 747–748.

SIGIR-2007-ZhuYCG #classification #matrix #using

Combining content and link for classification using matrix factorization (SZ, KY, YC, YG), pp. 487–494.

SAC-2007-LeeOSYT #automation #classification

Automatic classification of digestive organs in wireless capsule endoscopy videos (JL, JHO, SKS, XY, SJT), pp. 1041–1045.

SAC-2007-VanderleiDMGAM #classification #component #retrieval

A cooperative classification mechanism for search and retrieval software components (TAV, FAD, ACM, VCG, ESdA, SRdLM), pp. 866–871.

SAC-2007-ZengWN #analysis #classification

Text classification based on partial least square analysis (XQZ, MWW, JYN), pp. 834–838.

ASE-2006-dAmorimPXME #automation #classification #comparison #empirical #generative #object-oriented #testing

An Empirical Comparison of Automated Generation and Classification Techniques for Object-Oriented Unit Testing (Md, CP, TX, DM, MDE), pp. 59–68.

DATE-2006-IgnatNSN #classification #impact analysis #operating system #realtime

Soft-error classification and impact analysis on real-time operating systems (NI, BN, YS, GN), pp. 182–187.

DATE-2006-KruppM #classification #functional #random testing #testing

Classification trees for random tests and functional coverage (AK, WM), pp. 1031–1032.

DATE-DF-2006-PapaefstathiouP #classification

A hardware-engine for layer-2 classification in low-storage, ultra-high bandwidth environments (VP, IP), pp. 112–117.

DocEng-2006-SimskeWS #classification #documentation

Meta-algorithmic systems for document classification (SJS, DWW, MS), pp. 98–106.

SCAM-2006-PanKW #classification #debugging #metric #slicing #using

Bug Classification Using Program Slicing Metrics (KP, SK, EJWJ), pp. 31–42.

ICEIS-J-2006-Leukel06a #approach #classification #data transformation

Controlling Property Growth in Product Classification Schemes: A Data Management Approach (JL), pp. 363–374.

ICEIS-SAIC-2006-Leukel #classification #library #maintenance

Maintaining Property Libraries in Product Classification Schemes (JL), pp. 3–10.

CIKM-2006-AnagnostopoulosBP #classification #effectiveness #performance

Effective and efficient classification on a search-engine model (AA, AZB, KP), pp. 208–217.

CIKM-2006-AssfalgBK #3d #classification #kernel #named #string

3DString: a feature string kernel for 3D object classification on voxelized data (JA, KMB, HPK), pp. 198–207.

CIKM-2006-OlssonO #classification

Combining feature selectors for text classification (JSO, DWO), pp. 798–799.

CIKM-2006-SchutzeVP #classification #performance

Performance thresholding in practical text classification (HS, EV, JOP), pp. 662–671.

CIKM-2006-ShenSYC #classification #modelling #multi

Text classification improved through multigram models (DS, JTS, QY, ZC), pp. 672–681.

CIKM-2006-VelosoMCGZ #classification #documentation #lazy evaluation #multi

Multi-evidence, multi-criteria, lazy associative document classification (AV, WMJ, MC, MAG, MJZ), pp. 218–227.

CIKM-2006-XiongCL #classification #database #multi #nearest neighbour

k nearest neighbor classification across multiple private databases (LX, SC, LL), pp. 840–841.

CIKM-2006-XuWFSP #classification #correlation #data type

Classification spanning correlated data streams (YX, KW, AWCF, RS, JP), pp. 132–141.

ECIR-2006-BoumaR #classification

Specificity Helps Text Classification (LB, MdR), pp. 539–542.

ECIR-2006-DemartiniM #classification #effectiveness #information retrieval #metric

A Classification of IR Effectiveness Metrics (GD, SM), pp. 488–491.

ICML-2006-Cesa-BianchiGZ #classification

Hierarchical classification: combining Bayes with SVM (NCB, CG, LZ), pp. 177–184.

ICML-2006-DaiYTK #adaptation #classification #nondeterminism

Locally adaptive classification piloted by uncertainty (JD, SY, XT, JTK), pp. 225–232.

ICML-2006-DenisMR #classification #learning #naive bayes #performance

Efficient learning of Naive Bayes classifiers under class-conditional classification noise (FD, CNM, LR), pp. 265–272.

ICML-2006-GravesFGS #classification #network #sequence

Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks (AG, SF, FJG, JS), pp. 369–376.

ICML-2006-HertzBW #classification #kernel #learning

Learning a kernel function for classification with small training samples (TH, ABH, DW), pp. 401–408.

ICML-2006-HoiJZL #classification #image #learning

Batch mode active learning and its application to medical image classification (SCHH, RJ, JZ, MRL), pp. 417–424.

ICML-2006-KimMSBL #classification #linear

Pareto optimal linear classification (SJK, AM, SS, SPB, JL), pp. 473–480.

ICML-2006-SinghiL #bias #classification #learning #set

Feature subset selection bias for classification learning (SKS, HL), pp. 849–856.

ICML-2006-XiKSWR #classification #performance #reduction #using

Fast time series classification using numerosity reduction (XX, EJK, CRS, LW, CAR), pp. 1033–1040.

ICPR-v1-2006-ArandjelovicC #classification #set #using

Face Set Classification using Maximally Probable Mutual Modes (OA, RC), pp. 511–514.

ICPR-v1-2006-ArzhaevaGT #classification #detection #distance #image

Image Classification from Generalized Image Distance Features: Application to Detection of Interstitial Disease in Chest Radiographs (YA, BvG, DMJT), pp. 367–370.

ICPR-v1-2006-BoschMOM #approach #classification #question #what

Object and Scene Classification: what does a Supervised Approach Provide us? (AB, XM, AO, RM), pp. 773–777.

ICPR-v1-2006-FuCLR #classification #feature model #image

Boosted Band Ratio Feature Selection for Hyperspectral Image Classification (ZF, TC, NL, ARK), pp. 1059–1062.

ICPR-v1-2006-KaufholdCHR #classification #recognition #segmentation #using

Recognition and Segmentation of Scene Content using Region-Based Classification (JPK, RC, AH, PR), pp. 755–760.

ICPR-v1-2006-KimK #classification #using

Simultaneous Classification and VisualWord Selection using Entropy-based Minimum Description Length (SK, ISK), pp. 650–653.

ICPR-v1-2006-MarmoAC #classification #set #using

Microfossils shape classification using a set of width values (RM, SA, VC), pp. 691–694.

ICPR-v1-2006-NegriCMP #algorithm #classification

An Oriented-Contour Point Based Voting Algorithm for Vehicle Type Classification (PN, XC, MM, RP), pp. 574–577.

ICPR-v1-2006-PrehnS #adaptation #algorithm #classification #clustering #incremental #robust #using

An Adaptive Classification Algorithm Using Robust Incremental Clustering (HP, GS), pp. 896–899.

ICPR-v1-2006-SunSM #classification #simulation

The Role of Featural and Configural Information in Face Classification A Simulation of the Expertise Hypothesis (YS, NS, MM), pp. 1166–1170.

ICPR-v1-2006-ThurauHB #behaviour #classification #game studies #video

Classification of Team Behaviors in Sports Video Games (CT, TH, CB), pp. 1188–1191.

ICPR-v1-2006-WongLI #classification

Brush Writing Style Classification from Individual Chinese Characters (STSW, HL, HHSI), pp. 884–887.

ICPR-v1-2006-ZhuWCW #classification #human-computer #interface #predict

GMM-Based Classification Method for Continuous Prediction in Brain-Computer Interface (XZ, JW, YC, YW), pp. 1171–1174.

ICPR-v2-2006-ArivazhaganGK #classification #statistics #using

Texture classification using Curvelet Statistical and Co-occurrence Features (SA, LG, TGSK), pp. 938–941.

ICPR-v2-2006-BhuiyanN #classification #detection #image #using

Anti-personnel Mine Detection and Classification Using GPR Image (AB, BN), pp. 1082–1085.

ICPR-v2-2006-ChenB #classification #invariant #using

Invariant Texture Classification Using Ridgelet Packets (GC, PB), pp. 464–467.

ICPR-v2-2006-ChiangK #classification #using

Classification of Line and Character Pixels on Raster Maps Using Discrete Cosine Transformation Coefficients and Support Vector Machine (YYC, CAK), pp. 1034–1037.

ICPR-v2-2006-ChoiLY #classification #feature model #using

Feature Extraction for Bank Note Classification Using Wavelet Transform (EC, JL, JY), pp. 934–937.

ICPR-v2-2006-DengHG #algorithm #classification

Ada-Boost Algorithm, Classification, Naïve- (WD, JH, JG), pp. 699–702.

ICPR-v2-2006-DonateDR #classification

Classification of Textures Distorted by WaterWaves (AD, GD, ER), pp. 421–424.

ICPR-v2-2006-FangQ #classification

Car/Non-Car Classification in an Informative Sample Subspace (JF, GQ), pp. 962–965.

ICPR-v2-2006-IlonenPKK #classification

Gaussian mixture pdf in one-class classification: computing and utilizing confidence values (JI, PP, JKK, HK), pp. 577–580.

ICPR-v2-2006-KelmPM #classification #generative #learning #multi

Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning (BMK, CP, AM), pp. 828–832.

ICPR-v2-2006-KennedyNS #classification

An LVQ-based Automotive Occupant Classification System (KRK, JFN, MS), pp. 662–665.

ICPR-v2-2006-LefebvreLRG #classification #comparison #image #process

Supervised Image Classification by SOM Activity Map Comparison (GL, CL, JR, CG), pp. 728–731.

ICPR-v2-2006-LernerM #classification #image #learning #network

Learning Bayesian Networks for Cytogenetic Image Classification (BL, RM), pp. 772–775.

ICPR-v2-2006-LiuL #classification #image #using

Genus-Zero Shape Classification Using Spherical Normal Image (SL, JL), pp. 126–129.

ICPR-v2-2006-McDanielKP #approach #classification #visual notation

A Bayesian Approach to Visual Size Classification of Everyday Objects (TLM, KK, SP), pp. 255–259.

ICPR-v2-2006-NandedkarB #classification #fuzzy #network

A Reflex Fuzzy Min Max Neural Network for Granular Data Classification (AVN, PKB), pp. 650–653.

ICPR-v2-2006-QinWHG #automation #classification

Unsupervised Texture Classification: Automatically Discover and Classify Texture Patterns (LQ, WW, QH, WG), pp. 433–436.

ICPR-v2-2006-Sarkar #classification #image #visual notation

Image classification: Classifying distributions of visual features (PS), pp. 472–475.

ICPR-v2-2006-ShimshoniRS #classification #image #performance #verification

Efficient Search and Verification for Function Based Classification from Real Range Images (IS, ER, OS), pp. 1118–1121.

ICPR-v2-2006-TsuchiyaF #classification #visual notation

Evaluating Feature Importance for Object Classification in Visual Surveillance (MT, HF), pp. 978–981.

ICPR-v2-2006-UekiHK #2d #analysis #classification #linear

Two-dimensional Heteroscedastic Linear Discriminant Analysis for Age-group Classification (KU, TH, TK), pp. 585–588.

ICPR-v2-2006-WimmerRB #approach #classification

A Person and Context Specific Approach for Skin Color Classification (MW, BR, MB), pp. 39–42.

ICPR-v2-2006-YaslanC #classification #feature model #music #using

Audio Music Genre Classification Using Different Classifiers and Feature Selection Methods (YY, ZÇ), pp. 573–576.

ICPR-v2-2006-ZhangPB #classification #learning #representation

Learning Optimal Filter Representation for Texture Classification (PZ, JP, BPB), pp. 1138–1141.

ICPR-v2-2006-ZhengYYW #classification #effectiveness #image #problem

Effective classification image space which can solve small sample size problem (YJZ, JYY, JY, XW), pp. 861–864.

ICPR-v3-2006-ArreolaFB #classification #linear #performance #using

Fast Support Vector Machine Classification using linear SVMs (KZA, JF, HB), pp. 366–369.

ICPR-v3-2006-BarbuRLAHT #algorithm #classification #graph #recognition #search-based #using

Graph Classification Using Genetic Algorithm and Graph Probing Application to Symbol Recognition (EB, RR, HL, SA, PH, ÉT), pp. 296–299.

ICPR-v3-2006-BauckhageK06a #classification #multi

Benefits of Separable, Multilinear Discriminant Classification (CB, TK), pp. 1240–1243.

ICPR-v3-2006-HarmoucheCAFA #classification #modelling

Bayesian MS Lesion Classification Modeling Regional and Local Spatial Information (RH, DLC, DLA, SJF, TA), pp. 984–987.

ICPR-v3-2006-JiaZHW #classification

Gaussian Weighted Histogram Intersection for License Plate Classification (WJ, HZ, XH, QW), pp. 574–577.

ICPR-v3-2006-KierA #classification #multi #predict

Predicting the benefit of sample size extension in multiclass k-NN classification (CK, TA), pp. 332–335.

ICPR-v3-2006-KovalevP #classification

The Classification Gradient (VAK, MP), pp. 830–833.

ICPR-v3-2006-LeeP #classification #detection #robust

Robust vehicle detection based on shadow classification (DL, YP), pp. 1167–1170.

ICPR-v3-2006-LernerV #classification #fuzzy #image #search-based #using

Image Classification for Genetic Diagnosis using Fuzzy ARTMAP (BL, BV), pp. 362–365.

ICPR-v3-2006-LiC #classification #nearest neighbour #probability #using

Classification Using the Local Probabilistic Centers of k-Nearest Neighbors (BYL, YWC), pp. 1220–1223.

ICPR-v3-2006-NagasakiMKS #adaptation #classification #image

A Coupon Classification Method Based on Adaptive Image Vector Matching (TN, KM, TK, HS), pp. 280–283.

ICPR-v3-2006-PaclikND #classification #image #similarity

A Trainable Similarity Measure for Image Classification (PP, JN, RPWD), pp. 391–394.

ICPR-v3-2006-PekalskaD #classification

Dissimilarity-based classification for vectorial representations (EP, RPWD), pp. 137–140.

ICPR-v3-2006-TscherepanowZK #classification #image

Classification of Segmented Regions in Brightfield Microscope Images (MT, FZ, FK), pp. 972–975.

ICPR-v3-2006-Wang06b #classification #image

Colony Delineation on Image Classification (WW), pp. 705–708.

ICPR-v3-2006-WangNC #approach #classification

A Minimum Sphere Covering Approach to Pattern Classification (JW, PN, LNC), pp. 433–436.

ICPR-v3-2006-XuanCZYHSF #analysis #classification #component #novel

A Novel Pattern Classification Scheme: Classwise Non-Principal Component Analysis (CNPCA) (GX, PC, XZ, QY, CH, YQS, DF), pp. 320–323.

ICPR-v3-2006-YangLA #automation #case study #classification #gender

An Experimental Study on Automatic Face Gender Classification (ZY, ML, HA), pp. 1099–1102.

ICPR-v3-2006-YinNFMA #classification #statistics

Statistical Model for the Classification of the Wavelet Transforms of T-ray Pulses (XXY, BWHN, BF, SPM, DA), pp. 236–239.

ICPR-v3-2006-YuHSLPGF #classification

Shape-based Discrimination and Classification of Cortical Surfaces (PY, XH, FS, AKL, RAP, PG, BF), pp. 445–448.

ICPR-v3-2006-ZhangR06a #classification #integration #robust #visual notation

Robust Visual Tracking via Pixel Classification and Integration (CZ, YR), pp. 37–42.

ICPR-v3-2006-ZouB #classification #energy #image #process #programming #search-based

Human Activity Classification Based on Gait Energy Image and Coevolutionary Genetic Programming (XZ, BB), pp. 556–559.

ICPR-v4-2006-AndraN #classification

Combining Dichotomizers for MAP Field Classification (SA, GN), pp. 210–214.

ICPR-v4-2006-BauckhageK06b #classification #multi

Benefits of Separable, Multilinear Discriminant Classification (CB, TK), p. 959.

ICPR-v4-2006-LiaoS #classification

Classification of Audio Signals in All-Night Sleep Studies (WHL, YSS), pp. 302–305.

ICPR-v4-2006-LiC06a #classification #nearest neighbour #probability #using

Classification Using the Local Probabilistic Centers of k-Nearest Neighbors (BYL, YWC), p. 954.

ICPR-v4-2006-OliverMMBF #approach #classification

A new approach to the classification of mammographic masses and normal breast tissue (AO, JM, RM, AB, JF), pp. 707–710.

ICPR-v4-2006-PhamS #approximate #classification #clustering #metric #performance

Metric tree partitioning and Taylor approximation for fast support vector classification (TVP, AWMS), pp. 132–135.

ICPR-v4-2006-TiviveB #classification #gender #network

A Shunting Inhibitory Convolutional Neural Network for Gender Classification (FHCT, AB), pp. 421–424.

ICPR-v4-2006-TodorovicA #3d #classification #segmentation #using

3D Texture Classification Using the Belief Net of a Segmentation Tree (ST, NA), pp. 33–36.

ICPR-v4-2006-Wang06d #classification #metric #process #profiling

From Blob Metrics to Posture Classification to Activity Profiling (LW0), pp. 736–739.

ICPR-v4-2006-WangWLJK #analysis #classification #component #independence #using

Content-Based Audio Classification Using Support Vector Machines and Independent Component Analysis (JCW, JFW, CBL, KTJ, WHK), pp. 157–160.

ICPR-v4-2006-WangXC #2d #automation #classification #pseudo #using #video

Automatic Sports Video Genre Classification using Pseudo-2D-HMM (JW, CX, EC), pp. 778–781.

ICPR-v4-2006-WongN #classification

Blind Phase-Amplitude Modulation Classification with Unknown Phase Offset (MLDW, AKN), pp. 177–180.

ICPR-v4-2006-XuC #classification #invariant #multi

Multiscale Blob Features for Gray Scale, Rotation and Spatial Scale Invariant Texture Classification (QX, YQC), pp. 29–32.

KDD-2006-BurkeMWB #classification #collaboration #detection #recommendation

Classification features for attack detection in collaborative recommender systems (RDB, BM, CW, RB), pp. 542–547.

KDD-2006-HoiLC #classification #kernel #learning

Learning the unified kernel machines for classification (SCHH, MRL, EYC), pp. 187–196.

KDD-2006-NathBM #approach #classification #clustering #scalability #using

Clustering based large margin classification: a scalable approach using SOCP formulation (JSN, CB, MNM), pp. 674–679.

KDD-2006-TangZL #classification #data-driven #semantics #taxonomy

Acclimatizing taxonomic semantics for hierarchical content classification from semantics to data-driven taxonomy (LT, JZ, HL), pp. 384–393.

KDD-2006-WeiK #classification

Semi-supervised time series classification (LW, EJK), pp. 748–753.

KDD-2006-YanB #classification #optimisation #ranking

Beyond classification and ranking: constrained optimization of the ROI (LY, PB), pp. 948–953.

KDD-2006-ZhangL #classification #string

Extracting key-substring-group features for text classification (DZ, WSL), pp. 474–483.

SEKE-2006-ZengA #classification #multi #representation

Classification by Multi-Perspective Representation Method (JZ, RA), pp. 85–90.

SIGIR-2006-AngelovaW #classification #graph

Graph-based text classification: learn from your neighbors (RA, GW), pp. 485–492.

SIGIR-2006-BlunsomKC #classification #modelling

Question classification with log-linear models (PB, KK, JRC), pp. 615–616.

SIGIR-2006-DayanikLMMG #classification

Constructing informative prior distributions from domain knowledge in text classification (AAD, DDL, DM, VM, AG), pp. 493–500.

SIGIR-2006-ShenSYC #classification #query #web

Building bridges for web query classification (DS, JTS, QY, ZC), pp. 131–138.

SIGIR-2006-SteinAF #classification #fault

The effect of OCR errors on stylistic text classification (SSS, SA, OF), pp. 701–702.

QAPL-2005-LanotteMT06 #classification #probability #security

A Classification of Time and/or Probability Dependent Security Properties (RL, AMS, AT), pp. 177–193.

RE-2006-Cleland-HuangSZS #aspect-oriented #classification #detection #non-functional #requirements

The Detection and Classification of Non-Functional Requirements with Application to Early Aspects (JCH, RS, XZ, PS), pp. 36–45.

SAC-2006-BelsisFGS #classification

SF-HME system: a hierarchical mixtures-of-experts classification system for spam filtering (PB, KF, SG, CS), pp. 354–360.

SAC-2006-CraigL #classification #learning #using

Protein classification using transductive learning on phylogenetic profiles (RAC, LL), pp. 161–166.

SAC-2006-FelipeRSTT #classification #effectiveness #retrieval

Effective shape-based retrieval and classification of mammograms (JCF, MXR, EPMdS, AJMT, CTJ), pp. 250–255.

SAC-2006-Ferrer-TroyanoAS #classification #data type #incremental #learning

Data streams classification by incremental rule learning with parameterized generalization (FJFT, JSAR, JCRS), pp. 657–661.

SAC-2006-ForteSP #classification #internet

A content classification and filtering server for the internet (MF, WLdS, AFdP), pp. 1166–1171.

SAC-2006-MerschmannP #approach #classification

A Bayesian approach for protein classification (LHdCM, AP), pp. 200–201.

SAC-2006-TailbyDMS #automation #classification #email

Email classification for automated service handling (RT, RD, BM, DS), pp. 1073–1077.

SAC-2006-XingMXV #classification #documentation #edit distance #xml

Computing edit distances between an XML document and a schema and its application in document classification (GX, CRM, ZX, SDV), pp. 831–835.

FSE-2006-StorzerRRT #classification #java #source code #using

Finding failure-inducing changes in java programs using change classification (MS, BGR, XR, FT), pp. 57–68.

MBT-2006-ConradK #classification #embedded

An Extension of the Classification-Tree Method for Embedded Systems for the Description of Events (MC, AK), pp. 3–11.

DAC-2005-McGeeN #classification #design #framework #pipes and filters

A lattice-based framework for the classification and design of asynchronous pipelines (PBM, SMN), pp. 491–496.

DocEng-2005-SimskeLA #classification #image #statistics

A statistical method for binary classification of images (SJS, DL, JSA), pp. 127–129.

ICDAR-2005-BhagvatiD #classification #using

Classification of Liquid and Viscous Inks using HSV Colour Space (CB, HD), pp. 660–664.

ICDAR-2005-FengM #classification #modelling #recognition

Classification Models for Historical Manuscript Recognition (SF, RM), pp. 528–532.

ICDAR-2005-IshitaniFS #analysis #classification #documentation #xml

Table Structure Analysis Based on Cell Classification and Cell Modification for XML Document Transformation (YI, KF, KS), pp. 1247–1252.

ICDAR-2005-LeiG #classification #sequence

Similarity-driven Sequence Classification Based on Support Vector Machines (HL, VG), pp. 252–261.

ICDAR-2005-LiuWD #classification #detection #image

Text Detection in Images Based on Unsupervised Classification of Edge-based Features (CL, CW, RD), pp. 610–614.

ICDAR-2005-MoussaZAB #classification

Can Fractal Dimension Be Used In Font Classification (SBM, AZ, AMA, AB), pp. 146–150.

VLDB-2005-LimWV #classification #estimation #online #string #xml

CXHist : An On-line Classification-Based Histogram for XML String Selectivity Estimation (LL, MW, JSV), pp. 1187–1198.

VLDB-2005-MeierWAS #classification #fuzzy #query #using

Using a Fuzzy Classification Query Language for Customer Relationship Management (AM, NW, MA, MS), pp. 1089–1096.

ICSM-2005-MarinMD #classification

A Classification of Crosscutting Concerns (MM, LM, AvD), pp. 673–676.

ICALP-2005-BraekenBNP #classification #encryption

Classification of Boolean Functions of 6 Variables or Less with Respect to Some Cryptographic Properties (AB, YLB, SN, BP), pp. 324–334.

ICEIS-v2-2005-NilssonFX #classification #using

Clinical Decision Support by Time Series Classification Using Wavelets (MN, PF, NX), pp. 169–175.

ICEIS-v2-2005-Ruta #classification #multi

Multidimensional Selection Model for Classification (DR), pp. 226–232.

ICEIS-v5-2005-DixitM #classification #documentation #using

Electronic Document Classification Using Support Vector Machine — An Application for E-Learning (SD, LKM), pp. 191–198.

CIKM-2005-BoeseH #classification #documentation #evolution #web

Effects of web document evolution on genre classification (ESB, AEH), pp. 632–639.

CIKM-2005-BotWCL #automation #classification #concept #documentation #generative #using

Generating better concept hierarchies using automatic document classification (RSB, YfBW, XC, QL), pp. 281–282.

CIKM-2005-EsuliS #classification #semantics

Determining the semantic orientation of terms through gloss classification (AE, FS), pp. 617–624.

CIKM-2005-GhamrawiM #classification #multi

Collective multi-label classification (NG, AM), pp. 195–200.

CIKM-2005-KanT #classification #performance #using

Fast webpage classification using URL features (MYK, HONT), pp. 325–326.

CIKM-2005-WangNZ #classification #semantics

A latent semantic classification model (MWW, JYN, XQZ), pp. 261–262.

CIKM-2005-ZhangCFFGCC #classification #multi

Intelligent GP fusion from multiple sources for text classification (BZ, YC, WF, EAF, MAG, MC, PC), pp. 477–484.

ECIR-2005-AyacheQC #classification #using #video

Video Shot Classification Using Lexical Context (SA, GQ, MC), pp. 549–551.

ECIR-2005-MartonWH #classification #on the

On Compression-Based Text Classification (YM, NW, LH), pp. 300–314.

ECIR-2005-SiersdorferW #classification #strict #using

Using Restrictive Classification and Meta Classification for Junk Elimination (SS, GW), pp. 287–299.

ICML-2005-BeygelzimerDHLZ #classification #fault #reduction

Error limiting reductions between classification tasks (AB, VD, TPH, JL, BZ), pp. 49–56.

ICML-2005-EspositoS #classification #comparison #monte carlo

Experimental comparison between bagging and Monte Carlo ensemble classification (RE, LS), pp. 209–216.

ICML-2005-GlocerET #classification #feature model #online

Online feature selection for pixel classification (KAG, DE, JT), pp. 249–256.

ICML-2005-HillD #adaptation #classification #problem

Adapting two-class support vector classification methods to many class problems (SIH, AD), pp. 313–320.

ICML-2005-Keerthi #classification #effectiveness #feature model

Generalized LARS as an effective feature selection tool for text classification with SVMs (SSK), pp. 417–424.

ICML-2005-LangfordZ #classification #learning #performance

Relating reinforcement learning performance to classification performance (JL, BZ), pp. 473–480.

ICML-2005-MannorPR #classification

The cross entropy method for classification (SM, DP, RYR), pp. 561–568.

ICML-2005-RamakrishnanCKB #approximate #classification

A model for handling approximate, noisy or incomplete labeling in text classification (GR, KPC, RK, PB), pp. 681–688.

ICML-2005-RousuSSS #classification #learning #modelling #multi

Learning hierarchical multi-category text classification models (JR, CS, SS, JST), pp. 744–751.

ICML-2005-VeeramachaneniSA #classification #documentation

Hierarchical Dirichlet model for document classification (SV, DS, PA), pp. 928–935.

ICML-2005-WangS #classification #kernel

New kernels for protein structural motif discovery and function classification (CW, SDS), pp. 940–947.

ICML-2005-WilliamsLXC #classification #using

Incomplete-data classification using logistic regression (DW, XL, YX, LC), pp. 972–979.

KDD-2005-Aggarwal #algorithm #classification #towards

Towards exploratory test instance specific algorithms for high dimensional classification (CCA), pp. 526–531.

KDD-2005-Sandler #classification #linear #on the #programming

On the use of linear programming for unsupervised text classification (MS), pp. 256–264.

KDD-2005-ZhangWZ #classification #privacy

A new scheme on privacy-preserving data classification (NZ, SW, WZ), pp. 374–383.

MLDM-2005-GuptaKB #classification #concept analysis #incremental #using

Incremental Classification Rules Based on Association Rules Using Formal Concept Analysis (AG, NK, VB), pp. 11–20.

MLDM-2005-HayashiMS #classification

Embedding Time Series Data for Classification (AH, YM, NS), pp. 356–365.

MLDM-2005-MakrehchiK #classification #using

Text Classification Using Small Number of Features (MM, MSK), pp. 580–589.

MLDM-2005-SzepannekLW #classification #comprehension

Understanding Patterns with Different Subspace Classification (GS, KL, CW), pp. 110–119.

SEKE-2005-ChiangTK #classification #multi #performance #using

Fast Class Rendering Using Multiresolution Classification in Discrete Cosine Transform Domain (TWC, TT, LJK), pp. 689–694.

SIGIR-2005-BeitzelJFGLCK #automation #classification #query #using #web

Automatic web query classification using labeled and unlabeled training data (SMB, ECJ, OF, DAG, DDL, AC, AK), pp. 581–582.

SIGIR-2005-CarvalhoC #classification #email #on the #speech

On the collective classification of email “speech acts” (VRdC, WWC), pp. 345–352.

SIGIR-2005-MaL #automation #classification #documentation #paradigm #semantics

A phonotactic-semantic paradigm for automatic spoken document classification (BM, HL), pp. 369–376.

SIGIR-2005-OlssonOH #classification

Cross-language text classification (JSO, DWO, JH), pp. 645–646.

SIGIR-2005-ZhangCFFGCC #classification

Intelligent fusion of structural and citation-based evidence for text classification (BZ, YC, WF, EAF, MAG, MC, PC), pp. 667–668.

SIGIR-2005-ZhangCL #classification #kernel #multi

Text classification with kernels on the multinomial manifold (DZ, XC, WSL), pp. 266–273.

SIGIR-2005-ZhuJXG #classification #multi #using

Multi-labelled classification using maximum entropy method (SZ, XJ, WX, YG), pp. 274–281.

ECOOP-2005-PachecoE #automation #classification #generative #named #testing

Eclat: Automatic Generation and Classification of Test Inputs (CP, MDE), pp. 504–527.

SAC-2005-DongH #classification #clustering #parametricity

Text classification based on data partitioning and parameter varying ensembles (YSD, KSH), pp. 1044–1048.

SAC-2005-HacheyG #classification #modelling #sequence #summary

Sequence modelling for sentence classification in a legal summarisation system (BH, CG), pp. 292–296.

SAC-2005-LiY #classification #predict #recursion #using

Using recursive classification to discover predictive features (FL, YY), pp. 1054–1058.

SAC-2005-OcaGA #algorithm #classification #clustering #network

An hybridization of an ant-based clustering algorithm with growing neural gas networks for classification tasks (MAMdO, LG, JLA), pp. 9–13.

SAC-2005-QianZQ #classification #image

Spatial contextual noise removal for post classification smoothing of remotely sensed images (YQ, KZ, FQ), pp. 524–528.

ESEC-FSE-2005-HaranKOPS #classification #execution

Applying classification techniques to remotely-collected program execution data (MH, AFK, AO, AAP, APS), pp. 146–155.

ICSE-2005-HostWT #classification #experience

Experimental context classification: incentives and experience of subjects (MH, CW, TT), pp. 470–478.

CGO-2005-StephensonA #classification #predict #using

Predicting Unroll Factors Using Supervised Classification (MS, SPA), pp. 123–134.

HPCA-2005-LauSC #classification #predict

Transition Phase Classification and Prediction (JL, SS, BC), pp. 278–289.

HT-2004-StottsF #classification #hypermedia

Language-theoretic classification of hypermedia paths (PDS, RF), pp. 40–41.

ICEIS-v2-2004-YounesTAR #classification #image

Image Classification According to the Dominant Colour (AAY, IT, HA, YR), pp. 505–510.

CIKM-2004-SiersdorferSW #classification #documentation #parametricity

Goal-oriented methods and meta methods for document classification and their parameter tuning (SS, SS, GW), pp. 59–68.

CIKM-2004-Zhang #classification #information management

Weakly-supervised relation classification for information extraction (ZZ), pp. 581–588.

CIKM-2004-ZhangGFCFCC #classification

Combining structural and citation-based evidence for text classification (BZ, MAG, WF, YC, EAF, PC, MC), pp. 162–163.

ECIR-2004-MoschittiB #classification

Complex Linguistic Features for Text Classification: A Comprehensive Study (AM, RB), pp. 181–196.

ICML-2004-AltunHS #classification #process #sequence

Gaussian process classification for segmenting and annotating sequences (YA, TH, AJS).

ICML-2004-BohteBG #classification #parametricity #polynomial

Nonparametric classification with polynomial MPMC cascades (SMB, MB, GZG).

ICML-2004-DekelKS #classification #scalability

Large margin hierarchical classification (OD, JK, YS).

ICML-2004-EspositoS #analysis #classification #monte carlo

A Monte Carlo analysis of ensemble classification (RE, LS).

ICML-2004-Forman #classification #feature model #multi

A pitfall and solution in multi-class feature selection for text classification (GF).

ICML-2004-KoppelS #classification #problem #verification

Authorship verification as a one-class classification problem (MK, JS).

ICML-2004-NguyenWJ #classification #detection #distributed #kernel #using

Decentralized detection and classification using kernel methods (XN, MJW, MIJ).

ICPR-v1-2004-ChengLLC #classification #component #independence #kernel #using

Texture Classification Using Kernel Independent Component Analysi (JC, QL, HL, YWC), pp. 620–623.

ICPR-v1-2004-DuinPT #classification #problem

The Characterization of Classification Problems by Classifier Disagreements (RPWD, EP, DMJT), pp. 140–143.

ICPR-v1-2004-GllavataEF #classification #detection #image

Text Detection in Images Based on Unsupervised Classification of High-Frequency Wavelet Coefficients (JG, RE, BF), pp. 425–428.

ICPR-v1-2004-HeLZZ #classification #image #web

W-Boost and Its Application to Web Image Classification (JH, ML, HZ, CZ), pp. 148–151.

ICPR-v1-2004-Horikawa #classification #comparison #invariant #kernel

Comparison of Support Vector Machines with Autocorrelation Kernels for Invariant Texture Classification (YH), pp. 660–663.

ICPR-v1-2004-KolschKNP #classification #image

Enhancements for Local Feature Based Image Classification (TK, DK, HN, RP), pp. 248–251.

ICPR-v1-2004-Manley-CookeR #classification #fuzzy

A Modified Fuzzy Inference System for Pattern Classification (PMC, MR), pp. 256–259.

ICPR-v1-2004-MilgramSC #classification #modelling

Two-Stage Classification System combining Model-Based and Discriminative Approaches (JM, RS, MC), pp. 152–155.

ICPR-v1-2004-ToselliJV #classification #recognition

Spontaneous Handwriting Recognition and Classification (AHT, AJ, EV), pp. 433–436.

ICPR-v1-2004-VaswaniC #analysis #classification #component #null #probability

Classification Probability Analysis of Principal Component Null Space Analysis (NV, RC), pp. 240–243.

ICPR-v1-2004-WithagenSG #classification #probability

Probabilistic Classification Between Foreground Objects and Background (PJW, KS, FCAG), pp. 31–34.

ICPR-v1-2004-XuC #classification #statistics

Statistical Landscape Features for Texture Classification (CLX, YQC), pp. 676–679.

ICPR-v1-2004-ZhangP #classification

SVM vs Regularized Least Squares Classification (PZ, JP), pp. 176–179.

ICPR-v2-2004-BrownCA #classification #performance #set

Efficient Calculation of the Complete Optimal Classification Set (MB, NC, SA), pp. 307–310.

ICPR-v2-2004-CaoK #classification #online

Online Structure Based Chinese Character Pre-Classification (HC, ACK), pp. 395–398.

ICPR-v2-2004-DeselaersKN #classification #evaluation #fault #image #retrieval

Classification Error Rate for Quantitative Evaluation of Content-based Image Retrieval Systems (TD, DK, HN), pp. 505–508.

ICPR-v2-2004-FarmerJ #approach #classification #image #segmentation

A Wrapper-Based Approach to Image Segmentation and Classification (MEF, AKJ), pp. 106–109.

ICPR-v2-2004-IurgelR #classification #documentation #probability #using

Spoken Document Classification with SVMs Using Linguistic Unit Weighting and Probabilistic Couplers (UI, GR), pp. 667–670.

ICPR-v2-2004-KaneS #classification #image #learning #network

Bayesian Network Structure Learning and Inference in Indoor vs. Outdoor Image Classification (MJK, AES), pp. 479–482.

ICPR-v2-2004-LeungNL #classification

ICA-FX Features for Classification of Singing Voice and Instrumental Sound (TWL, CWN, RWHL), pp. 367–370.

ICPR-v2-2004-LillholmP #classification

Jet Based Feature Classification (ML, KSP), pp. 787–790.

ICPR-v2-2004-MaD #adaptation #classification #using #word

Adaptive Word Style Classification Using a Gaussian Mixture Model (HM, DSD), pp. 606–609.

ICPR-v2-2004-PranckevicieneBS #classification #identification

Consensus-Based Identification of Spectral Signatures for Classification of High-Dimensional Biomedical Spectra (EP, RB, RLS), pp. 319–322.

ICPR-v2-2004-Rodriguez-DamianCFS #classification #using

Pollen Classification using Brightness-Based and Shape-Based Descriptors (MRD, EC, AF, PdSO), pp. 212–215.

ICPR-v2-2004-RubeAK #classification #invariant #multi

Coarse-to-Fine Multiscale Affine Invariant Shape Matching and Classification (IER, MA, MK), pp. 163–166.

ICPR-v2-2004-TahirBKA #classification #feature model #using

Feature Selection using Tabu Search for Improving the Classification Rate of Prostate Needle Biopsies (MAT, AB, FK, AA), pp. 335–338.

ICPR-v2-2004-VijayaMS #classification #clustering #performance #sequence

An Efficient Technique for Protein Sequence Clustering and Classification (PAV, MNM, DKS), pp. 447–450.

ICPR-v2-2004-XuGSRTW #classification

High Accuracy Classification of EEG Signal (WX, CG, CES, SR, MT, JW), pp. 391–394.

ICPR-v2-2004-ZhangHHZ #classification #kernel #visual notation

Kernel Autoassociator with Applications to Visual Classification (HZ, WH, ZH, BZ), pp. 443–446.

ICPR-v3-2004-ArchambeauBPVT #classification #parametricity

Supervised Nonparametric Information Theoretic Classification (CA, TB, VP, MV, JPT), pp. 414–417.

ICPR-v3-2004-DEliaMMPST #classification #clustering #detection #segmentation

Detection of Microcalcifications Clusters in Mammograms through TS-MRF Segmentation and SVM-based Classification (CD, CM, MM, GP, GS, FT), pp. 742–745.

ICPR-v3-2004-ForestiMS #automation #classification

Event Classification for Automatic Visual-based Surveillance of Parking Lots (GLF, CM, LS), pp. 314–317.

ICPR-v3-2004-GutkinK #classification #representation #speech

Structural Representation of Speech for Phonetic Classification (AG, SK), pp. 438–441.

ICPR-v3-2004-HolmstromH #classification #estimation

Application of Semiparametric Density Estimation to Classification (LH, FH), pp. 371–374.

ICPR-v3-2004-JainH #classification #component #gender #independence

Integrating Independent Components and Support Vector Machines for Gender Classification (AJ, JH), pp. 558–561.

ICPR-v3-2004-LiewWY #classification #sequence #statistics

Selection of Statistical Features Based on Mutual Information for Classification of Human Coding and Non-coding DNA Sequences (AWCL, YW, HY), pp. 766–769.

ICPR-v3-2004-PozdnoukhovB #classification #image #invariant #kernel

Tangent Vector Kernels for Invariant Image Classification with SVMs (AP, SB), pp. 486–489.

ICPR-v3-2004-RahtuH #classification #multi

Object Classification with Multi-Scale Autoconvolution (ER, JH), pp. 37–40.

ICPR-v3-2004-ReiterR #classification #multi #programming #segmentation #using

Segmentation and Classification of Meeting Events using Multiple Classifier Fusion and Dynamic Programming (SR, GR), pp. 434–437.

ICPR-v3-2004-SprevakAW #assessment #classification

A Non-Random Data Sampling Method for Classification Model Assessment (DS, FA, HW), pp. 406–409.

ICPR-v3-2004-TaxM #classification

A Consistency-Based Model Selection for One-Class Classification (DMJT, KRM), pp. 363–366.

ICPR-v3-2004-WuAH #classification #image #retrieval

Facial Image Retrieval Based on Demographic Classification (BW, HA, CH), pp. 914–917.

ICPR-v3-2004-ZhouK04a #classification

The Pattern Classification Based on the Nearest Feature Midpoints (ZZ, CKK), pp. 446–449.

ICPR-v4-2004-BoutellL04a #classification #image #metadata

Photo Classification by Integrating Image Content and Camera Metadata (MRB, JL), pp. 901–904.

ICPR-v4-2004-Cardenas #classification #learning #multi #prototype #string

A Learning Model for Multiple-Prototype Classification of Strings (RAM), pp. 420–423.

ICPR-v4-2004-HakeemS #classification #framework #ontology #taxonomy

Ontology and Taxonomy Collaborated Framework for Meeting Classification (AH, MS), pp. 219–222.

ICPR-v4-2004-LiuWP #classification #composition #empirical

Texture Classification Through Directional Empirical Mode Decomposition (ZL, HW, SP), pp. 803–806.

ICPR-v4-2004-Moreno-SecoMO #classification #nearest neighbour #rule-based

A New Classification Rule based on Nearest Neighbour Search (FMS, LM, JO), pp. 408–411.

ICPR-v4-2004-MurinoBR #classification #fault #statistics

Statistical Classification of Raw Textile Defects (VM, MB, IAR), pp. 311–314.

ICPR-v4-2004-OuMF #classification #multi #network #using

Multiclass Pattern Classification Using Neural Networks (GO, YLM, LAF), pp. 585–588.

ICPR-v4-2004-ShapiroG #classification #multi #recognition #segmentation

Multinational License Plate Recognition System: Segmentation and Classification (VS, GG), pp. 352–355.

ICPR-v4-2004-ShettyR #classification #detection #modelling

An Undecimated Wavelet Transform Based Denoising, PPCA Based Pulse Modeling and Detection-Classification of PD Signals (PKS, TSR), pp. 873–876.

ICPR-v4-2004-UekiKIKISKK #classification #gender #image

A Method of Gender Classification by Integrating Facial, Hairstyle, and Clothing Images (KU, HK, SI, KK, NS, JK, TK), pp. 446–449.

KDD-2004-AggarwalHWY #classification #data type #on the

On demand classification of data streams (CCA, JH, JW, PSY), pp. 503–508.

KDD-2004-DalviDMSV #classification

Adversarial classification (NND, PMD, M, SKS, DV), pp. 99–108.

KDD-2004-JensenNG #classification #relational #why

Why collective inference improves relational classification (DJ, JN, BG), pp. 593–598.

KDD-2004-LiuYM #algorithm #classification #parametricity #performance

The IOC algorithm: efficient many-class non-parametric classification for high-dimensional data (TL, KY, AWM), pp. 629–634.

KDD-2004-PavlovBDKP #classification #clustering #documentation #multi #naive bayes #preprocessor

Document preprocessing for naive Bayes classification and clustering with mixture of multinomials (DP, RB, BD, SK, JP), pp. 829–834.

KR-2004-GrootTH #analysis #approximate #case study #classification #problem #towards

Towards a Structured Analysis of Approximate Problem Solving: A Case Study in Classification (PG, AtT, FvH), pp. 399–406.

KR-2004-Pirri #classification

Indoor Environment Classification and Perceptual Matching (FP), pp. 73–84.

SIGIR-2004-AeryC #classification #email #named

eMailSift: mining-based approaches to email classification (MA, SC), pp. 580–581.

SIGIR-2004-FanL #classification #semantics #video

Semantic video classification by integrating unlabeled samples for classifier training (JF, HL), pp. 592–593.

SIGIR-2004-KumaranA #classification #detection

Text classification and named entities for new event detection (GK, JA), pp. 297–304.

SIGIR-2004-MladenicBGM #classification #feature model #interactive #linear #modelling #using

Feature selection using linear classifier weights: interaction with classification models (DM, JB, MG, NMF), pp. 234–241.

SIGIR-2004-ShenCYZZLM #classification #summary

Web-page classification through summarization (DS, ZC, QY, HJZ, BZ, YL, WYM), pp. 242–249.

SIGIR-2004-YangC #classification #effectiveness #web

Effectiveness of web page classification on finding list answers (HY, TSC), pp. 522–523.

UML-2004-JiangSZMMM #classification #metamodelling #on the #uml

On the Classification of UML’s Meta Model Extension Mechanism (YJ, WS, LZ, ZM, XM, HM), pp. 54–68.

SAC-2004-BaralisCG #classification #on the

On support thresholds in associative classification (EB, SC, PG), pp. 553–558.

SAC-2004-BeneventanoM #classification #framework

A framework for the classification and the reclassification of electronic catalogs (DB, SM), pp. 784–788.

SAC-2004-DamianiDG #classification #multi #thread

Re-classification and multi-threading: Fickle_MT (FD, MDC, PG), pp. 1297–1304.

SAC-2004-EggermontKK #classification #clustering #programming #search-based

Genetic Programming for data classification: partitioning the search space (JE, JNK, WAK), pp. 1001–1005.

SAC-2004-ZhouL #classification #network

Regularized B-spline network and its application to heart arrhythmia classification (JZ, LL), pp. 291–295.

SAC-PL-J-2004-DamianiDG #classification #multi #on the #thread

On Re-classification and Multi-threading (FD, MDC, PG), pp. 5–30.

FSE-2004-RinardSB #analysis #aspect-oriented #classification #source code

A classification system and analysis for aspect-oriented programs (MCR, AS, SB), pp. 147–158.

OSDI-2004-GniadyBH #classification

Program-Counter-Based Pattern Classification in Buffer Caching (CG, ARB, YCH), pp. 395–408.

IJCAR-2004-ColtonMSM #algebra #automation #classification #finite #generative #theorem

Automatic Generation of Classification Theorems for Finite Algebras (SC, AM, VS, RLM), pp. 400–414.

DATE-2003-CorsiMM #approach #classification #pseudo #random testing #testing

An Approach to the Classification of Mixed-Signal Circuits in a Pseudorandom Testing Scheme (FC, CM, GM), pp. 11178–11179.

DocEng-2003-DenoyerVGBB #classification #documentation #multi

Structured multimedia document classification (LD, JNV, PG, SB, SB), pp. 153–160.

DocEng-2003-ZuOWK #automation #classification

Accuracy improvement of automatic text classification based on feature transformation (GZ, WO, TW, FK), pp. 118–120.

DRR-2003-Summers #classification #documentation #image #problem

Document image improvment for OCR as a classification problem (KMS), pp. 73–83.

ICDAR-2003-BaldiMS #classification #set #using

Using tree-grammars for training set expansion in page classification (SB, SM, GS), pp. 829–833.

ICDAR-2003-Biem #classification #optimisation

A Model Selection Criterion for Classification: Application to HMM Topology Optimization (AB), pp. 104–108.

ICDAR-2003-EglinB #classification #documentation #layout #query #similarity #visual notation

Document page similarity based on layout visual saliency: Application to query by example and document classification (VE, SB), pp. 1208–1212.

ICDAR-2003-FutrelleSCG #analysis #classification #diagrams #documentation #layout

Extraction, layout analysis and classification of diagrams in PDF documents (RPF, MS, CC, AEG), pp. 1007–1014.

ICDAR-2003-GuestCFP #analysis #automation #classification #geometry #sequence #using

Automatic Classification of Hand Drawn Geometric Shapes using Constructional Sequence Analysis (RMG, SC, MCF, JMP), pp. 990–994.

ICDAR-2003-HamamuraMI #classification #multi

A Multiclass Classification Method Based on Multiple Pairwise Classifiers (TH, HM, BI), pp. 809–813.

ICDAR-2003-KimMO #algorithm #classification #statistics #word

A Text Watermarking Algorithm based on Word Classification and Inter-word Space Statistics (YWK, KAM, ISO), pp. 775–779.

ICDAR-2003-LeeO #classification #multi #problem

Binary Classification Trees for Multi-class Classification Problems (JSL, ISO), pp. 770–774.

ICDAR-2003-SchenkerLBK #classification #documentation #graph #using #web

Classification of Web Documents Using a Graph Model (AS, ML, HB, AK), pp. 240–244.

ICDAR-2003-YamaguchiNMMH #classification #recognition

Digit Classification on Signboards for Telephone Number Recognition (TY, YN, MM, HM, TH), pp. 359–363.

SIGMOD-2003-FaginKS #classification #performance #rank #similarity

Efficient similarity search and classification via rank aggregation (RF, RK, DS), pp. 301–312.

ICSM-2003-Gustavsson #classification #java #runtime

A Classification of Unanticipated Runtime Software Changes in Java (JG), pp. 4–12.

ICEIS-v2-2003-HassanienA #algorithm #classification #image #performance #retrieval #set

An Efficient Classification and Image Retrieval Algorithm Based on Rough Set Theory (AEH, JMHA), pp. 457–460.

ICEIS-v2-2003-TungFB #classification #information management

Knowledge Management and Data Classification in Pellucid (TTD, BF, IB), pp. 209–216.

ICEIS-v3-2003-ToffolonD03a #classification #prototype

Software Prototyping Classification (CT, SD), pp. 266–271.

ICEIS-v4-2003-PlaisentOBM #classification #internet #towards

Toward a Classification of Internet Scientific Conferences (MP, AO, PB, LM), pp. 473–476.

CIKM-2003-AdamiAS #classification #documentation

Bootstrapping for hierarchical document classification (GA, PA, DS), pp. 295–302.

CIKM-2003-CaladoCMZRG #classification #documentation #web

Combining link-based and content-based methods for web document classification (PC, MC, ESdM, NZ, BARN, MAG), pp. 394–401.

CIKM-2003-KaoQPW #classification #information management

User assisted text classification and knowledge management (AK, LQ, SP, SW), pp. 524–527.

CIKM-2003-MacskassyH #classification

Adding numbers to text classification (SAM, HH), pp. 240–246.

CIKM-2003-ShanahanR #classification

Boosting support vector machines for text classification through parameter-free threshold relaxation (JGS, NR), pp. 247–254.

CIKM-2003-YuZH #classification #documentation

Text classification from positive and unlabeled documents (HY, CZ, JH), pp. 232–239.

ECIR-2003-CeciM #classification #documentation #html

Hierarchical Classification of HTML Documents with WebClassII (MC, DM), pp. 57–72.

ECIR-2003-FisherE #classification

When Are Links Useful? Experiments in Text Classification (MF, RME), pp. 41–56.

ECIR-2003-PengS #classification #modelling #n-gram #naive bayes

Combining Naive Bayes and n-Gram Language Models for Text Classification (FP, DS), pp. 335–350.

ECIR-2003-XuYTXW #classification #using

Representative Sampling for Text Classification Using Support Vector Machines (ZX, KY, VT, XX, JW), pp. 393–407.

ICML-2003-DeCosteM #approximate #classification #incremental #kernel #performance

Fast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors (DD, DM), pp. 115–122.

ICML-2003-KrishnapuramCJ #classification #documentation

Classification of Text Documents Based on Minimum System Entropy (RK, KPC, SJ), pp. 384–391.

ICML-2003-LagoudakisP #classification #learning

Reinforcement Learning as Classification: Leveraging Modern Classifiers (MGL, RP), pp. 424–431.

ICML-2003-LiWL #classification #generative #keyword #probability #using

Text Classification Using Stochastic Keyword Generation (CL, JRW, HL), pp. 464–471.

ICML-2003-LiY #analysis #categorisation #classification

A Loss Function Analysis for Classification Methods in Text Categorization (FL, YY), pp. 472–479.

ICML-2003-LuG #classification

Link-based Classification (QL, LG), pp. 496–503.

ICML-2003-RosipalTM #classification #kernel #linear

Kernel PLS-SVC for Linear and Nonlinear Classification (RR, LJT, BM), pp. 640–647.

MLDM-2003-BouguilaZV #classification #image #novel

Novel Mixtures Based on the Dirichlet Distribution: Application to Data and Image Classification (NB, DZ, JV), pp. 172–181.

MLDM-2003-KuhnertK #classification #image #learning

A Learning Autonomous Driver System on the Basis of Image Classification and Evolutional Learning (KDK, MK), pp. 400–412.

MLDM-2003-MiteranBB #approximate #bound #classification #image #realtime #segmentation #using

Classification Boundary Approximation by Using Combination of Training Steps for Real-Time Image Segmentation (JM, SB, EBB), pp. 141–155.

MLDM-2003-Scaringella #classification #on the

On the Size of a Classification Tree (AS), pp. 65–72.

SIGIR-2003-HanMGZ #classification #clustering #rule-based #word

Rule-based word clustering for text classification (HH, EM, CLG, HZ), pp. 445–446.

SIGIR-2003-KangK #classification #documentation #query #retrieval #web

Query type classification for web document retrieval (IHK, GCK), pp. 64–71.

SIGIR-2003-KrovetzUG #classification #source code

Classification of source code archives (RK, SU, CLG), pp. 425–426.

SIGIR-2003-LiOL #case study #classification #comparative #music

A comparative study on content-based music genre classification (TL, MO, QL), pp. 282–289.

SIGIR-2003-TsaiMT #classification #hybrid #image #network #using

Image classification using hybrid neural networks (CFT, KM, JT), pp. 431–432.

SIGIR-2003-ZhangL #classification #using

Question classification using support vector machines (DZ, WSL), pp. 26–32.

SIGIR-2003-ZhangY #categorisation #classification #linear #robust

Robustness of regularized linear classification methods in text categorization (JZ, YY), pp. 190–197.

SAC-2003-LiZLO #classification #functional #learning #semistructured data

Gene Functional Classification by Semisupervised Learning from Heterogeneous Data (TL, SZ, QL, MO), pp. 78–82.

SAC-2003-NenkovaB #classification #email

Email Classification for Contact Centers (AN, AB), pp. 789–792.

SAC-2003-WangBD #approach #classification

A Density Based Approach to Classification (HW, DAB, ID), pp. 470–474.

SAC-2003-WombacherMR #ad hoc #classification #modelling #multi #workflow

Classification of Ad hoc Multi-lateral Collaborations Based on Local Workflow Models (AW, BM, TR), pp. 1185–1190.

SAC-2003-YangH #classification #data flow #image #using

Image Texture Classification Using Datagrams and Characteristic Views (SY, CCH), pp. 22–26.

SAC-2003-YuNPC #classification #on the #testing

On the Use of the Classification-Tree Method by Beginning Software Testers (YTY, SPN, PLP, TYC), pp. 1123–1127.

VLDB-2002-ChakrabartiRS #classification #linear #multi #performance

Fast and Accurate Text Classification via Multiple Linear Discriminant Projections (SC, SR, MVS), pp. 658–669.

PLDI-2002-BurtscherDH #classification #predict

Static Load Classification for Improving the Value Predictability of Data-Cache Misses (MB, AD, MH), pp. 222–233.

FME-2002-HendersonP #classification #communication #verification

The Formal Classification and Verification of Simpson’s 4-Slot Asynchronous Communication Mechanism (NH, SP), pp. 350–369.

ICEIS-2002-Veryha #classification #database #fuzzy #implementation #query #relational #using

Implementation of Fuzzy Classification Query Language in Relational Databases Using Stored Procedures (YV), pp. 195–202.

CIKM-2002-DeshpandeK #classification #using

Using conjunction of attribute values for classification (MD, GK), pp. 356–364.

CIKM-2002-LiuH #classification #identification #music

A singer identification technique for content-based classification of MP3 music objects (CCL, CSH), pp. 438–445.

CIKM-2002-LiuYC #bias #classification #induction

Boosting to correct inductive bias in text classification (YL, YY, JGC), pp. 348–355.

CIKM-2002-RogatiY #classification #feature model

High-performing feature selection for text classification (MR, YY), pp. 659–661.

CIKM-2002-StehlingNF #approach #classification #image #performance #retrieval

A compact and efficient image retrieval approach based on border/interior pixel classification (ROS, MAN, AXF), pp. 102–109.

ECIR-2002-FinnKS #classification #information management

Genre Classification and Domain Transfer for Information Filtering (AF, NK, BS), pp. 353–362.

ICML-2002-DeCoste #classification #distance #geometry #kernel #performance

Anytime Interval-Valued Outputs for Kernel Machines: Fast Support Vector Machine Classification via Distance Geometry (DD), pp. 99–106.

ICML-2002-Ho #classification

Classification Value Grouping (CKMH), pp. 251–258.

ICML-2002-LiuLYL #classification #documentation

Partially Supervised Classification of Text Documents (BL, WSL, PSY, XL), pp. 387–394.

ICML-2002-RaskuttiFK #classification #clustering #parametricity #using

Using Unlabelled Data for Text Classification through Addition of Cluster Parameters (BR, HLF, AK), pp. 514–521.

ICML-2002-ThamDR #classification #learning #markov #monte carlo #using

Sparse Bayesian Learning for Regression and Classification using Markov Chain Monte Carlo (SST, AD, KR), pp. 634–641.

ICPR-v1-2002-Baggenstoss #classification

The Chain-Rule Processor: Optimal Classification Through Signal Processing (PMB), pp. 230–234.

ICPR-v1-2002-ClaudeWPB #classification #image #network

Contour Features for Colposcopic Image Classification by Artificial Neural Networks (IC, RW, PP, JCB), pp. 771–774.

ICPR-v1-2002-DuchesneBBC #classification #image #on the #using

On the Classification of Temporal Lobe Epilepsy Using MR Image Appearance (SD, NB, AB, DLC), pp. 520–523.

ICPR-v1-2002-KampelS #automation #classification #segmentation

Automated Segmentation of Archaeological Profiles or Classification (MK, RS), pp. 57–60.

ICPR-v1-2002-LiuS #classification #recognition #representation

A Spectral Representation for Appearance-Based Classification and Recognition (XL, AS), pp. 37–40.

ICPR-v1-2002-Torkkola #classification #documentation

Discriminative Features for Document Classification (KT), pp. 472–475.

ICPR-v1-2002-ZhangD #classification #fault #recognition

Minimum Classification Error Training for Handwritten Character Recognition (RZ, XD), pp. 580–583.

ICPR-v2-2002-AksoyH #classification #framework #image #retrieval

A Classification Framework for Content-Based Image Retrieval (SA, RMH), pp. 503–506.

ICPR-v2-2002-BarataP #classification #clustering #modelling #set #using

Improving Classification Rates by Modelling the Clusters of Trainings Sets in Features Space Using Mathematical Morphology Operators (TB, PP), pp. 328–331.

ICPR-v2-2002-ChoCWS #adaptation #classification #data type #image #learning #representation #robust

Robust Learning in Adaptive Processing of Data Structures for Tree Representation Based Image Classification (SYC, ZC, ZW, WCS), pp. 108–111.

ICPR-v2-2002-ErcilB #classification #polynomial #using

One Class Classification Using Implicit Polynomial Surface Fitting (AE, BB), pp. 152–155.

ICPR-v2-2002-FrantiX #classification #using

Classification of Binary Vectors by Using ??SC-Distance (PF, MX), pp. 52–55.

ICPR-v2-2002-GuillametSV #classification #image #matrix

Analyzing Non-Negative Matrix Factorization for Image Classification (DG, BS, JV), pp. 116–119.

ICPR-v2-2002-GuptaDD #automation #classification #fault #feature model

Beam Search for Feature Selection in Automatic SVM Defect Classification (PG, DSD, DD), pp. 212–215.

ICPR-v2-2002-Han #classification #using

A Supervised Classification Scheme Using Positive Boolean Function (CCH), pp. 100–103.

ICPR-v2-2002-HuangT #classification #fault #pattern matching #pattern recognition #recognition

An RBF-Based Pattern Recognition Method by Competitively Reducing Classification-Oriented Error (YSH, YHT), pp. 180–183.

ICPR-v2-2002-HungYL #classification #image

Use of Characteristic Views in Image Classification (CCH, SY, CML), pp. 949–952.

ICPR-v2-2002-JainM #classification #kernel

Hierarchical Kernel Fitting for Fingerprint Classification and Alignment (AKJ, SM), pp. 469–473.

ICPR-v2-2002-KimPJKB #classification #using

Pattern Classification Using Support Vector Machine Ensemble (HCK, SP, HMJ, DK, SYB), pp. 160–163.

ICPR-v2-2002-LoogG #classification #segmentation

Supervised Segmentation by Iterated Contextual Pixel Classification (ML, BvG), pp. 925–928.

ICPR-v2-2002-MesserCK #automation #classification

Automatic Sports Classification (KM, WJC, JK), pp. 1005–1008.

ICPR-v2-2002-MurpheyL #classification #feature model #multi #network

Feature Extraction for a Multiple Pattern Classification Neural Network System (YLM, YL), pp. 220–223.

ICPR-v2-2002-PernerPM #classification

Texture Classification Based on the Boolean Model and its Application to Hep-2 Cells (PP, HP, BM), pp. 406–409.

ICPR-v2-2002-RasheedS #classification

Movie Genre Classification By Exploiting Audio-Visual Features Of Previews (ZR, MS), pp. 1086–1089.

ICPR-v2-2002-RidderPD #classification #complexity #fault

The Economics of Classification: Error vs. Complexity (DdR, EP, RPWD), pp. 244–247.

ICPR-v2-2002-RonnebergerBS #3d #classification #invariant #recognition #set #using

General-Purpose Object Recognition in 3D Volume Data Sets Using Gray-Scale Invariants --- Classification of Airborne Pollen-Grains Recorded with a Confocal Laser Scanning Microscope (OR, HB, ES), p. 290–?.

ICPR-v2-2002-RyazanovV #approach #automation #classification #scalability

Discrete Approach for Automatic Knowledge Extraction from Precedent Large-Scale Data, and Classification (VVR, VAV), pp. 188–191.

ICPR-v2-2002-TassoneWV #classification

Temporal PDMs for Gait Classification (ET, GAWW, SV), pp. 1065–1068.

ICPR-v2-2002-TaxD #classification #multi #using

Using Two-Class Classifiers for Multiclass Classification (DMJT, RPWD), pp. 124–127.

ICPR-v3-2002-BurschkaH #classification

Scene Classification from Dense Disparity Maps in Indoor Environments (DB, GDH), pp. 708–712.

ICPR-v3-2002-LiangDMG #classification #logic

Page Classification through Logical Labelling (JL, DSD, MYM, JKG), pp. 477–480.

ICPR-v3-2002-PengHD #adaptation #classification #kernel #metric #nearest neighbour

Adaptive Kernel Metric Nearest Neighbor Classification (JP, DRH, HKD), pp. 33–36.

ICPR-v3-2002-QiP #classification

Context-Sensitive Bayesian Classifiers and Application to Mouse Pressure Pattern Classification (Y(Q, RWP), pp. 448–451.

ICPR-v3-2002-RivlinRGBL #classification #realtime

A Real-Time System for Classification of Moving Objects (ER, MR, RG, UB, SL), pp. 688–691.

ICPR-v3-2002-SiggelkowB #classification #image #retrieval

Improvement of Histogram-Based Image Retrieval and Classification (SS, HB), pp. 367–370.

ICPR-v3-2002-WangCZ #automation #classification #documentation #image

Hierarchical Content Classification and Script Determination for Automatic Document Image Processing (QW, ZC, RZ), pp. 77–80.

ICPR-v3-2002-WangPH #classification #documentation

A Method for Document Zone Content Classification (YW, ITP, RMH), p. 196–?.

ICPR-v3-2002-Yang #classification

Extended Isomap for Classification (MHY), pp. 615–618.

ICPR-v4-2002-BarataP02a #classification #clustering #modelling #set #using

Improving Classification Rates by Modelling the Clusters of Trainings Sets in Features Space Using Mathematical Morphology Operators (TB, PP), pp. 90–93.

ICPR-v4-2002-HoogsCK #3d #classification #metaprogramming #using

Classification of 3D Macro Texture Using Perceptual Observables (AH, RC, RK), pp. 113–117.

ICPR-v4-2002-LiuSF #classification #learning #polynomial

Learning Quadratic Discriminant Function for Handwritten Character Classification (CLL, HS, HF), pp. 44–47.

ICPR-v4-2002-MathisB #approach #classification #using

Classification Using a Hierarchical Bayesian Approach (CM, TMB), p. 103–?.

ICPR-v4-2002-PerisM #classification #distance #edit distance #performance

Fast Cyclic Edit Distance Computation with Weighted Edit Costs in Classification (GP, AM), pp. 184–187.

ICPR-v4-2002-Sarkar #algorithm #classification

An Iterative Algorithm for Optimal Style Conscious Field Classification (PS), p. 243–?.

ICPR-v4-2002-SerranoSL #approach #classification #performance

A Computationally Efficient Approach to Indoor/Outdoor Scene Classification (NS, AES, JL), p. 146–?.

ICPR-v4-2002-TothCA #classification #fault

A Two-Stage-Classifier for Defect Classification in Optical Media Inspection (DT, AC, TA), pp. 373–376.

KDD-2002-Aggarwal #classification #effectiveness #on the #string

On effective classification of strings with wavelets (CCA), pp. 163–172.

KDD-2002-DhillonMK #classification #clustering #word

Enhanced word clustering for hierarchical text classification (ISD, SM, RK), pp. 191–200.

KDD-2002-FragoudisML #classification

Integrating feature and instance selection for text classification (DF, DM, SL), pp. 501–506.

KDD-2002-KruengkraiJ #algorithm #classification #learning #parallel

A parallel learning algorithm for text classification (CK, CJ), pp. 201–206.

KDD-2002-LiB #algorithm #classification

Instability of decision tree classification algorithms (RHL, GGB), pp. 570–575.

KDD-2002-LiTS #classification #robust #set

Construct robust rule sets for classification (JL, RWT, HS), pp. 564–569.

KDD-2002-LiuL #adaptation #classification #documentation #incremental #mining

Incremental context mining for adaptive document classification (RLL, YLL), pp. 599–604.

KDD-2002-RaskuttiFK #classification #clustering #using

Combining clustering and co-training to enhance text classification using unlabelled data (BR, HLF, AK), pp. 620–625.

KDD-2002-UgurelKG #automation #classification #source code #what

What’s the code?: automatic classification of source code archives (SU, RK, CLG), pp. 639–644.

KDD-2002-VlachosDGKK #classification #reduction #visualisation

Non-linear dimensionality reduction techniques for classification and visualization (MV, CD, DG, GK, NK), pp. 645–651.

KDD-2002-YuHC #classification #learning #named #using #web

PEBL: positive example based learning for Web page classification using SVM (HY, JH, KCCC), pp. 239–248.

SEKE-2002-Morasca #classification #using

A proposal for using continuous attributes in classification trees (SM), pp. 417–424.

SEKE-2002-NakkrasaeS #approach #classification #component #formal method #specification

A formal approach for specification and classification of software components (SN, PS), pp. 773–780.

SIGIR-2002-Boyapati #classification #using

Improving hierarchical text classification using unlabeled data (VB), pp. 363–364.

SIGIR-2002-ChaiCN #classification #online

Bayesian online classifiers for text classification and filtering (KMAC, HLC, HTN), pp. 97–104.

SIGIR-2002-HardySSTZW #classification #concept #summary

Cross-document summarization by concept classification (HH, NS, TS, TL, XZ, GBW), pp. 121–128.

SIGIR-2002-LeeM #classification

Text genre classification with genre-revealing and subject-revealing features (YBL, SHM), pp. 145–150.

SIGIR-2002-SlonimFT #classification #documentation #using

Unsupervised document classification using sequential information maximization (NS, NF, NT), pp. 129–136.

SIGIR-2002-Wolin #automation #classification

Automatic classification in product catalogs (BW), pp. 351–352.

SAC-2002-CrescenziMM #classification #web

Wrapping-oriented classification of web pages (VC, GM, PM), pp. 1108–1112.

SAC-2002-DingDP #classification #data type #using

Decision tree classification of spatial data streams using Peano Count Trees (QD, QD, WP), pp. 413–417.

DATE-2001-OlbrichRB #algorithm #analysis #classification

An improved hierarchical classification algorithm for structural analysis of integrated circuits (MO, AR, EB), p. 807.

ICDAR-2001-BagdanovW #classification #documentation #fine-grained #first-order #graph #random #using

Fine-Grained Document Genre Classification Using First Order Random Graphs (ADB, MW), pp. 79–85.

ICDAR-2001-CesariniLMS #classification #documentation #encoding

Encoding of Modified X-Y Trees for Document Classification (FC, ML, SM, GS), pp. 1131–1136.

ICDAR-2001-ChaS #algorithm #analysis #classification

Apriori Algorithm for Sub-category Classification Analysis of Handwriting (SHC, SNS), pp. 1022–1025.

ICDAR-2001-DiligentiGMS #classification #documentation #html #modelling

Classification of HTML Documents by Hidden Tree-Markov Models (MD, MG, MM, FS), pp. 849–853.

ICDAR-2001-HoN #classification #constraints

Exploration of Contextual Constraints for Character Pre-Classification (TKH, GN), pp. 450–454.

ICDAR-2001-NatteeN #classification #comprehension #documentation #geometry #machine learning #online #using

Geometric Method for Document Understanding and Classification Using On-line Machine Learning (CN, MN), pp. 602–606.

ICDAR-2001-SerraduraSV #classification #markov #modelling #using #web

Web Sites Thematic Classification Using Hidden Markov Models (LS, MS, NV), pp. 1094–1099.

ICDAR-2001-WangHP01a #classification #evaluation #performance

Zone Content Classification and its Performance Evaluation (YW, RMH, ITP), pp. 540–544.

ICDAR-2001-WengH #classification #image #incremental #online

Incremental Hierarchical Discriminant Regression for Online Image Classification (JW, WSH), pp. 476–480.

ICDAR-2001-YeCS #classification #reduction #using

Reduction of the Classification Cost Using Hierarchical Classifiers based on the k-NN Rule (XY, MC, CYS), pp. 716–720.

ICSM-2001-BassinS #classification #fault #legacy #maintenance #orthogonal #outsourcing

Managing the Maintenance of Ported, Outsourced, and Legacy Software via Orthogonal Defect Classification (KB, PS), p. 726–?.

ICEIS-v1-2001-RobardetV #case study #classification

A Preliminary Study of a New Classification to Build Homogeneous Patient’s Groups in Home-Based Care (CR, CV), pp. 397–403.

CIKM-2001-GohCC #classification #image

SVM Binary Classifier Ensembles for Image Classification (KG, EYC, KTC), pp. 395–402.

CIKM-2001-NottelmannF #classification #datalog #learning #probability

Learning Probabilistic Datalog Rules for Information Classification and Transformation (HN, NF), pp. 387–394.

CIKM-2001-ToutanovaCPH #classification #set

Text Classification in a Hierarchical Mixture Model for Small Training Sets (KT, FC, KP, TH), pp. 105–112.

CIKM-2001-ZelikovitzH #classification #using

Using LSI for Text Classification in the Presence of Background Text (SZ, HH), pp. 113–118.

ICML-2001-DobraG #bias #classification

Bias Correction in Classification Tree Construction (AD, JG), pp. 90–97.

ICML-2001-DomeniconiG #approach #approximate #classification #dataset #multi #nearest neighbour #performance #query #scalability

An Efficient Approach for Approximating Multi-dimensional Range Queries and Nearest Neighbor Classification in Large Datasets (CD, DG), pp. 98–105.

ICML-2001-GartnerF #classification #named

WBCsvm: Weighted Bayesian Classification based on Support Vector Machines (TG, PAF), pp. 154–161.

ICML-2001-LatinneSD #classification #multi #problem

Adjusting the Outputs of a Classifier to New a Priori Probabilities May Significantly Improve Classification Accuracy: Evidence from a multi-class problem in remote sensing (PL, MS, CD), pp. 298–305.

KDD-2001-BujaL #classification #data mining #mining

Data mining criteria for tree-based regression and classification (AB, YSL), pp. 27–36.

KDD-2001-MoodySV #automation #classification

Data filtering for automatic classification of rocks from reflectance spectra (JM, RBdAeS, JV), pp. 347–352.

KDD-2001-StreetK #algorithm #classification #scalability #streaming

A streaming ensemble algorithm (SEA) for large-scale classification (WNS, YK), pp. 377–382.

MLDM-2001-Krzyzak #classification #learning #network #using

Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks (AK), pp. 217–225.

MLDM-2001-MottlDSKM #classification #pattern matching #pattern recognition #recognition

Featureless Pattern Recognition in an Imaginary Hilbert Space and Its Application to Protein Fold Classification (VM, SD, OS, CAK, IBM), pp. 322–336.

MLDM-2001-Perner #classification #question #reasoning

Are Case-Based Reasoning and Dissimilarity-Based Classification Two Sides of the Same Coin? (PP), pp. 35–51.

SEKE-2001-MorenoS #classification #detection #requirements

A Method for Detection, Classification and Resolution of Discrepancies in Viewpoint-based Requirements Engineering (AMM, AS), pp. 110–119.

SIGIR-2001-ArampatzisH #adaptation #classification #optimisation

The Score-Distributional Threshold Optimization for Adaptive Binary Classification Tasks (AA, AvH), pp. 285–293.

SIGIR-2001-Joachims #classification #learning #statistics

A Statistical Learning Model of Text Classification for Support Vector Machines (TJ), pp. 128–136.

SIGIR-2001-OakesGF #classification #documentation

A Method Based on the Chi-Square Test for Document Classification (MPO, RJG, HF), pp. 440–441.

ECOOP-2001-DrossopoulouDDG #classification

Fickle : Dynamic Object Re-classification (SD, FD, MDC, PG), pp. 130–149.

CBSE-2000-ThomasonBL #architecture #classification #component

CLARiFi An Architecture for Component Classification and Brokerage (ST, PB, SL), p. 17.

VLDB-2000-LuL #classification #scalability

Decision Tables: Scalable Classification Exploring RDBMS Capabilities (HL, HL), pp. 373–384.

IWPC-2000-GirardW #approach #classification #data type #detection

Evaluating the Accessor Classification Approach to Detect Abstract Data Types (JFG, MW), pp. 87–95.

STOC-2000-GuptaT #algorithm #approximate #classification #constant #problem

A constant factor approximation algorithm for a class of classification problems (AG, ÉT), pp. 652–658.

ICEIS-2000-Sato-Ilic #classification #fuzzy #relational

Classification Based on Relational Fuzzy C-Means for 3-Way Data (MSI), pp. 217–221.

CIKM-2000-MeretakisFLL #classification #scalability

Scalable association-based text classification (DM, DF, HL, SL), pp. 5–11.

ICML-2000-BowersGL #classification

Classification of Individuals with Complex Structure (AFB, CGGC, JWL), pp. 81–88.

ICML-2000-BrutlagM #challenge #classification #email

Challenges of the Email Domain for Text Classification (JDB, CM), pp. 103–110.

ICML-2000-Ghani #classification #using

Using Error-Correcting Codes for Text Classification (RG), pp. 303–310.

ICML-2000-JuKS #classification #gesture

State-based Classification of Finger Gestures from Electromyographic Signals (PJ, LPK, YS), pp. 439–446.

ICML-2000-TongK #classification #learning

Support Vector Machine Active Learning with Application sto Text Classification (ST, DK), pp. 999–1006.

ICML-2000-VilaltaO #bias #classification #distance #evaluation #metric #quantifier

A Quantification of Distance Bias Between Evaluation Metrics In Classification (RV, DO), pp. 1087–1094.

ICML-2000-WesterdijkW #classification #modelling #multi #using

Classification with Multiple Latent Variable Models using Maximum Entropy Discrimination (MW, WW), pp. 1143–1150.

ICML-2000-ZelikovitzH #classification #problem #using

Improving Short-Text Classification using Unlabeled Data for Classification Problems (SZ, HH), pp. 1191–1198.

ICPR-v1-2000-GongL #classification #segmentation #video

Video Shot Segmentation and Classification (YG, XL), pp. 1860–1863.

ICPR-v1-2000-HeidemannLR #classification #network #visual notation

A System for Various Visual Classification Tasks Based on Neural Networks (GH, DL, HJR), pp. 1009–1012.

ICPR-v1-2000-PaquisLK #classification #using

Road Surface Classification by Thresholding Using Morphological Pyramid (SP, VL, HK), pp. 1334–1337.

ICPR-v1-2000-PrabhakarJWPB #classification #verification

Minutia Verification and Classification for Fingerprint Matching (SP, AKJ, JW, SP, RMB), pp. 1025–1029.

ICPR-v1-2000-SinghMH #classification #image #segmentation

FLIR Image Segmentation and Natural Object Classification (SS, MM, JFH), pp. 1681–1684.

ICPR-v1-2000-YangM #classification #gender #visual notation

Support Vector Machines for Visual Gender Classification (MHY, BM), pp. 5115–5118.

ICPR-v2-2000-ChazalR #classification #comparison

A Comparison of the Use of Different Wavelet Coefficients for the Classification of the Electrocardiogram (PdC, RBR), pp. 2255–2258.

ICPR-v2-2000-ChoKBBY #classification #image

Core-Based Fingerprint Image Classification (BHC, JSK, JHB, IGB, KYY), pp. 2859–2862.

ICPR-v2-2000-GaoD #algorithm #classification #feature model #on the

On Improvement of Feature Extraction Algorithms for Discriminative Pattern Classification (JG, XD), pp. 2101–2104.

ICPR-v2-2000-GoodeG #classification #parametricity

Semi-Parametric Signal Classification (AJG, RHG), pp. 2622–2625.

ICPR-v2-2000-HoB #classification #complexity #problem

Measuring the Complexity of Classification Problems (TKH, MB), pp. 2043–2047.

ICPR-v2-2000-JuanV #classification #edit distance #normalisation #on the #performance #string

On the Use of Normalized Edit Distances and an Efficient k-NN Search Technique (k-AESA) for Fast and Accurate String Classification (AJ, EV), pp. 2676–2679.

ICPR-v2-2000-KeglKN #classification #complexity #learning #network

Radial Basis Function Networks and Complexity Regularization in Function Learning and Classification (BK, AK, HN), pp. 2081–2086.

ICPR-v2-2000-Martinez-HinarejosJC #classification #string

Use of Median String for Classification (CDMH, AJ, FC), pp. 2903–2906.

ICPR-v2-2000-MatsakisW #classification

Orbit and Sinus Classification Based on Force Histogram Computation (PM, LW), pp. 2451–2454.

ICPR-v2-2000-MetzlerAPL #classification #image #matrix #multi

Texture Classification of Graylevel Images by Multiscale Cross-Cooccurrence Matrices (VM, TA, CP, TML), pp. 2549–2552.

ICPR-v2-2000-Raudys #adaptation #classification

Prior Weights in Adaptive Pattern Classification (SR), pp. 6010–6013.

ICPR-v2-2000-RibaCVJ #classification #invariant

Methods for Invariant Signature Classification (JRR, AC, SV, IJ), pp. 2953–2956.

ICPR-v2-2000-SarkarN #classification

Classification of Style-Constrained Pattern-Fields (PS, GN), pp. 2855–2858.

ICPR-v2-2000-Sato #classification #fault #learning

A Learning Method for Definite Canonicalization Based on Minimum Classification Error (AS), pp. 2199–2202.

ICPR-v2-2000-Singh #classification #locality

EEG Data Classification with Localized Structural Information (SS), pp. 2271–2274.

ICPR-v2-2000-Tambouratzis #classification

Improving the Classification Accuracy of the Scanning n-tuple Method (GT), pp. 6046–6049.

ICPR-v2-2000-TangXM00a #classification

Two-Step Classification Based on Scale Space (MT, JX, SM), pp. 2899–2902.

ICPR-v2-2000-VailayaJ #classification

Reject Option for VQ-Based Bayesian Classification (AV, AKJ), pp. 2048–2051.

ICPR-v2-2000-WohlerKA #classification #image #recognition #sequence

Pedestrian Recognition by Classification of Image Sequences — Global Approaches vs. Local Spatio-Temporal Processing (CW, UK, JKA), pp. 2540–2544.

ICPR-v3-2000-ChantlerM #classification #invariant #on the

On the Use of Gradient Space Eigenvalues for Rotation Invariant Texture Classification (MJC, GM), pp. 3943–3946.

ICPR-v3-2000-ChetverikovF #classification #invariant

Affine-Invariant Texture Classification (DC, ZF), pp. 3901–3904.

ICPR-v3-2000-GaoQL #classification #fuzzy

Fuzzy Classification of Generic Edge Features (QG, DQ, SL), pp. 3672–3675.

ICPR-v3-2000-HuangCH #adaptation #classification

An Adaptive Model for Texture Classification (YH, KLC, ZH), pp. 3905–3908.

ICPR-v3-2000-HufnaglU #classification #fault #performance

Resolving a Defect in Quadrant-Based Classification for Fast Block-Matching (CH, AU), pp. 3203–3206.

ICPR-v3-2000-Kiema #automation #classification #data fusion #using

Wavelet Compression and Data Fusion: An Investigation into the Automatic Classification of Urban Environments using Color Photography and Laser Scanning Data (JBKK), pp. 3089–3093.

ICPR-v3-2000-MaenpaaOPM #classification #robust #set

Robust Texture Classification by Subsets of Local Binary Patterns (TM, TO, MP, MS), pp. 3947–3950.

ICPR-v3-2000-MaenpaaPO #classification #multi

Texture Classification by Multi-Predicate Local Binary Pattern Operators (TM, MP, TO), pp. 3951–3954.

ICPR-v3-2000-MostafaPF #classification

A Two-Step Fuzzy-Bayesian Classification for High Dimensional Data (MGHM, TCP, AAF), pp. 3421–3424.

ICPR-v3-2000-Ney #classification #modelling #probability #recognition #speech

Stochastic Modeling: From Pattern Classification to Speech Recognition and Translation (HN), pp. 3025–3032.

ICPR-v3-2000-NgR #classification #gesture #recognition

Gesture Recognition via Pose Classification (CWN, SR), pp. 3703–3708.

ICPR-v3-2000-SebeL00a #classification

Wavelet Based Texture Classification (NS, MSL), pp. 3959–3962.

ICPR-v3-2000-VandenbrouckeMP #classification #image #segmentation

Color Image Segmentation by Supervised Pixel Classification in a Color Texture Feature Space: Application to Soccer Image Segmentation (NV, LM, JGP), pp. 3625–3628.

ICPR-v3-2000-VertanB #classification #normalisation #representation

Color Texture Classification by Normalized Color Space Representation (CV, NB), pp. 3584–3587.

ICPR-v3-2000-VriesV #3d #adaptation #classification #detection #estimation #image

Scale-Adaptive Landmark Detection, Classification and Size Estimation in 3D Object-Background Images (RGdV, PWV), pp. 7026–7029.

ICPR-v4-2000-IwamotoTC #classification #named #realtime

REFLICS: Real-Time Flow Imaging and Classification System (SI, MMT, DMCJ), pp. 4689–4692.

ICPR-v4-2000-KampelS #classification

Color Classification of Archaeological Fragments (MK, RS), pp. 4771–4774.

ICPR-v4-2000-SanchezM #3d #classification

Fusing 3D Information for Crop/Weeds Classification (AJS, JAM), pp. 4295–4298.

KDD-2000-AnkerstEK #classification #effectiveness #towards

Towards an effective cooperation of the user and the computer for classification (MA, ME, HPK), pp. 179–188.

KDD-2000-InselbergA #classification #visualisation

Classification and visualization for high-dimensional data (AI, TA), pp. 370–374.

KDD-2000-WangMSW #biology #case study #classification #data mining #mining #network #sequence

Application of neural networks to biological data mining: a case study in protein sequence classification (JTLW, QM, DS, CHW), pp. 305–309.

SIGIR-2000-DumaisC #classification #web

Hierarchical classification of Web content (STD, HC), pp. 256–263.

SIGIR-2000-ManevitzY #classification #documentation #network #using

Document classification on neural networks using only positive examples (LMM, MY), pp. 304–306.

SAC-2000-ByunL #classification #using

Form Classification Using DP Matching (YB, YL), pp. 1–4.

SAC-2000-KloseKST #classification #fault #symmetry

Controlling Asymmetric Errors in Neuro-Fuzzy Classification (AK, RK, KS, UT), pp. 505–509.

FSE-2000-NaumovichC #classification

Classifying properties: an alternative to the safety-liveness classification (GN, LAC), pp. 159–168.

HPCA-2000-HaungsSF #analysis #branch #classification #metric

Branch Transition Rate: A New Metric for Improved Branch Classification Analysis (MH, PS, MKF), pp. 241–250.

ISSTA-2000-KolanoK #analysis #classification #realtime

Classification schemes to aid in the analysis of real-time systems (PZK, RAK), pp. 86–95.

ICDAR-1999-ClavierCL #approach #classification #image #sorting

Image Sorting — Image Classification: A Global Approach (EC, SC, JL), pp. 123–126.

ICDAR-1999-DehkordiSW #approach #classification #component #word

A Principal Component Approach to Classification of Handwritten Words (MED, NS, RJW), pp. 781–784.

ICDAR-1999-Hobby #classification #composition #geometry #layout

Page Decomposition and Signature Finding via Shape Classification and Geometric Layout (JDH), pp. 555–558.

ICDAR-1999-HuKW #classification #comparison #documentation #image #layout

Document Image Layout Comparison and Classification (JH, RSK, GTW), pp. 285–288.

ICDAR-1999-JungSS #classification #multi #using

Multifont Classification using Typographical Attributes (MCJ, YCS, SNS), pp. 353–356.

ICDAR-1999-LeeG #automation #classification

Automatic Classification of Deformed Handwritten Numeral Characters (LLL, NRG), pp. 269–272.

ICDAR-1999-LiN #classification #documentation #learning

A Document Classification and Extraction System with Learning Ability (XL, PAN), pp. 197–200.

ICDAR-1999-StockerRL #classification #network #problem #self

Self-organized Classification Problem Solving with Yprel Neural Networks (ES, AR, YL), pp. 390–393.

ICSM-1999-MendoncaK #classification #component #comprehension #distributed

Component Module Classification for Distributed Software Understanding (NCM, JK), p. 119–?.

HCI-CCAD-1999-NisslerMH #3d #classification #design #how

How to get the right outfit for my agent? Classification — and design methodology for a virtual shopping assistant in a 3D world (JN, JM, AH), pp. 162–166.

HCI-EI-1999-HartsonAWR #classification #framework #problem #usability

The User Action Framework: A Theory-Based Foundation for Inspection and Classification of Usability Problems (HRH, TSA, RCW, LvR), pp. 1058–1062.

HCI-EI-1999-KandaN #classification #visual notation

Studies on Classification of Similar Trademarks Corresponding to Human Visual Cognitive Sense (TK, HN), pp. 501–505.

CAiSE-1999-BeckerM #classification #framework #towards #workflow

Towards a Classification Framework for Application Granularity in Workflow Management Systems (JB, MzM), pp. 411–416.

CIKM-1999-DolinPBA #automation #classification #evaluation #information retrieval

Practical evaluation of IR within automated classification systems (RD, JP, MB, RA), pp. 322–329.

CIKM-1999-GeffnerAAS #classification #library #scalability #using

Browsing Large Digital Library Collections Using Classification Hierarchies (SG, DA, AEA, TRS), pp. 195–201.

CIKM-1999-HsuL #algorithm #classification

Classification Algorithms for NETNEWS Articles (WLH, SDL), pp. 114–121.

CIKM-1999-LiY #classification #probability #using

Text Classification Using ESC-based Stochastic Decision Lists (HL, KY), pp. 122–130.

CIKM-1999-MatsudaF #classification #documentation #retrieval #web

Task-Oriented World Wide Web Retrieval by Document Type Classification (KM, TF), pp. 109–113.

ICML-1999-BlanzieriR #classification #metric #nearest neighbour

A Minimum Risk Metric for Nearest Neighbor Classification (EB, FR), pp. 22–31.

ICML-1999-CardieMP #classification #parsing

Combining Error-Driven Pruning and Classification for Partial Parsing (CC, SM, DRP), pp. 87–96.

ICML-1999-Joachims #classification #using

Transductive Inference for Text Classification using Support Vector Machines (TJ), pp. 200–209.

ICML-1999-ScottM #classification #re-engineering

Feature Engineering for Text Classification (SS, SM), pp. 379–388.

KDD-1999-AnkerstEEK #approach #classification #interactive #visual notation

Visual Classification: An Interactive Approach to Decision Tree Construction (MA, CE, ME, HPK), pp. 392–396.

KDD-1999-BonchiGMP #classification #detection

A Classification-Based Methodology for Planning Audit Strategies in Fraud Detection (FB, FG, GM, DP), pp. 175–184.

KDD-1999-LeshZO #classification #mining #sequence

Mining Features for Sequence Classification (NL, MJZ, MO), pp. 342–346.

KDD-T-1999-GehrkeLR #classification

Classification and Regression: Money *can* Grow on Trees (JG, WYL, RR), pp. 1–73.

SIGIR-1999-FungL #approach #classification #image #retrieval

A New Approach for Image Classification and Retrieval (poster abstract) (CYF, KFL), pp. 301–302.

SIGIR-1999-LewisSS #classification #framework #named #online

ATTICS: A Software Platform for Online Text Classification (poster abstract) (DDL, DLS, AS), pp. 267–268.

UML-1999-BernerGJ #classification #modelling #object-oriented

A Classification of Stereotypes for Object-Oriented Modeling Languages (SB, MG, SJ), pp. 249–264.

TOOLS-EUROPE-1999-MensWD #architecture #classification #using

Declaratively Codifying Software Architectures Using Virtual Software Classifications (KM, RW, TD), pp. 33–45.

ICSE-1999-YakimovichBB #architecture #classification #cost analysis #integration #off the shelf

Software Architecture Classification for Estimating the Cost of COTS Integration (DY, JMB, VRB), pp. 296–302.

DAC-1998-XieB #classification #finite #markov #performance

Efficient State Classification of Finite State Markov Chains (AX, PAB), pp. 605–610.

SIGMOD-1998-ShintaniK #algorithm #classification #mining #parallel

Parallel Mining Algorithms for Generalized Association Rules with Classification Hierarchy (TS, MK), pp. 25–36.

CSMR-1998-KawabeMUO #classification #problem

Variable Classification Technique and Application to the Year 2000 Problem (KK, AM, SU, AO), pp. 44–51.

CIKM-1998-PapkaA #classification #documentation #multi #using

Document Classification Using Multiword Features (RP, JA), pp. 124–131.

ICML-1998-FriedmanGL #classification #network #parametricity

Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting (NF, MG, TJL), pp. 179–187.

ICML-1998-MaronR #classification #learning #multi

Multiple-Instance Learning for Natural Scene Classification (OM, ALR), pp. 341–349.

ICML-1998-McCallumN #classification #learning

Employing EM and Pool-Based Active Learning for Text Classification (AM, KN), pp. 350–358.

ICML-1998-McCallumRMN #classification

Improving Text Classification by Shrinkage in a Hierarchy of Classes (AM, RR, TMM, AYN), pp. 359–367.

ICML-1998-PrecupU #approximate #classification #using

Classification Using Phi-Machines and Constructive Function Approximation (DP, PEU), pp. 439–444.

ICPR-1998-Aladjem #classification #ml #network #recursion #reduction

Training of a ML neural network for classification via recursive reduction of the class separation (MA), pp. 450–452.

ICPR-1998-ArikiS #classification #multi #using

Classification of TV sports news by DCT features using multiple subspace method (YA, YS), pp. 1488–1491.

ICPR-1998-BulowS #classification

Quaternionic gabor filters for local structure classification (TB, GS), pp. 808–810.

ICPR-1998-GovindanDKP #analysis #classification #component #independence

Independent component analysis applied to electrogram classification during atrial fibrillation (AG, GD, JK, JP), pp. 1662–1664.

ICPR-1998-HerouxDRT #automation #classification #identification

Classification method study for automatic form class identification (PH, SD, AR, ÉT), pp. 926–928.

ICPR-1998-HuetP #classification #fuzzy #image #multi

A multi-scale fuzzy classification by knn. Application to the interpretation of aerial images (FH, SP), pp. 96–98.

ICPR-1998-HuetP98a #classification #fuzzy #image #multi #segmentation

Fusion of images after segmentation by various operators and interpretation by a multi-scale fuzzy classification (FH, SP), pp. 1843–1845.

ICPR-1998-IivarinenV #adaptation #classification #fault

An adaptive texture and shape based defect classification (JI, AV), pp. 117–122.

ICPR-1998-KeeniNS #automation #classification #estimation #generative #network #using

Automatic generation of initial weights and estimation of hidden units for pattern classification using neural networks (KK, KN, HS), pp. 1568–1571.

ICPR-1998-KeglKN #classification #learning #network #parametricity

Radial basis function networks in nonparametric classification and function learning (BK, AK, HN), pp. 565–570.

ICPR-1998-Kraaijveld #classification #comparison #parametricity

An experimental comparison of nonparametric classifiers for time-constrained classification tasks (MAK), pp. 428–435.

ICPR-1998-Kwok #classification #problem

Support vector mixture for classification and regression problems (JTYK), pp. 255–258.

ICPR-1998-LamOX #classification #learning

Application of Bayesian Ying-Yang criteria for selecting the number of hidden units with backpropagation learning to electrocardiogram classification (WKL, NO, LX), pp. 1686–1688.

ICPR-1998-LiJ #classification #documentation

Classification of text documents (YL, AKJ), pp. 1295–1297.

ICPR-1998-Mizutani #classification #fault #learning

Discriminative learning for minimum error and minimum reject classification (HM), pp. 136–140.

ICPR-1998-Perner #analysis #classification #image

Image analysis and classification of HEp-2 cells in fluorescent images (PP), pp. 1677–1679.

ICPR-1998-PrevostM #automation #classification #multi #recognition

Automatic allograph selection and multiple expert classification for totally unconstrained handwritten character recognition (LP, MM), pp. 381–383.

ICPR-1998-QiTD #algorithm #classification #feedback #search-based

Fingerprint classification system with feedback mechanism based on genetic algorithm (YQ, JT, RD), pp. 163–165.

ICPR-1998-SablatnigKZ #classification #modelling #using

Hierarchical classification of paintings using face- and brush stroke models (RS, PK, EZ), pp. 172–174.

ICPR-1998-ShahA #architecture #classification #hybrid #performance #reasoning

A hybrid architecture for performance reasoning in classification systems (SS, JKA), pp. 326–330.

ICPR-1998-SukanyaTS #classification #image #multi #using

Image classification using the surface-shape operator and multiscale features (PS, RT, MS), pp. 334–337.

ICPR-1998-SuriHS #automation #bound #classification #polynomial

Automatic quadratic calibration for correction of pixel classification boundaries to an accuracy of 2.5 millimeters: an application in cardiac imaging (JSS, RMH, FHS), pp. 30–33.

ICPR-1998-UchidaKMT #classification #integration #statistics

Fingerprint card classification with statistical feature integration (KU, TK, MM, TT), pp. 1833–1839.

ICPR-1998-WangLL #classification #composition #markov #modelling #random #using

Texture classification using wavelet decomposition with Markov random field models (LW, JL, SZL), pp. 1613–1615.

ICPR-1998-ZhangFY #classification #composition #modelling #recognition

A modular classification scheme with elastic net models for handwritten digit recognition (BZ, MF, HY), pp. 1859–1861.

KDD-1998-CohenH #classification #using

Joins that Generalize: Text Classification Using WHIRL (WWC, HH), pp. 169–173.

KDD-1998-GraefeFC #classification #database #on the #performance #scalability #sql #statistics

On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases (GG, UMF, SC), pp. 204–208.

KDD-1998-KeoghP #classification #clustering #feedback #performance #representation

An Enhanced Representation of Time Series Which Allows Fast and Accurate Classification, Clustering and Relevance Feedback (EJK, MJP), pp. 239–243.

KDD-1998-KontkanenMST #classification #feature model #named

BAYDA: Software for Bayesian Classification and Feature Selection (PK, PM, TS, HT), pp. 254–258.

KDD-1998-LiuHM #classification #mining

Integrating Classification and Association Rule Mining (BL, WH, YM), pp. 80–86.

KDD-1998-NakhaeizadehTL #classification

Evaluating Usefulness for Dynamic Classification (GN, CT, CL), pp. 87–93.

KDD-1998-RidgewayMRO #classification #naive bayes

Interpretable Boosted Naïve Bayes Classification (GR, DM, TR, JO), pp. 101–104.

KDD-1998-Rosset #classification #comparison #evaluation #flexibility #named #performance #ranking

Ranking — Methods for Flexible Evaluation and Efficient Comparison of Classification Performance (SR), pp. 324–328.

SIGIR-1998-BakerM #classification #clustering #word

Distributional Clustering of Words for Text Classification (LDB, AM), pp. 96–103.

SIGIR-1998-LinSCHKH #approach #classification #documentation #internet #mining #semantics

Extracting Classification Knowledge of Internet Documents with Mining Term Associations: A Semantic Approach (SHL, CSS, MCC, JMH, MTK, YMH), pp. 241–249.

SIGIR-1998-RagasK #algorithm #classification #corpus

Four Text Classification Algorithms Compared on a Dutch Corpus (HR, CHAK), pp. 369–370.

SAC-1998-HarandiR #classification #distributed #problem

Classification and organizational issues in distributed problem solving (MTH, GR), pp. 65–69.

SAC-1998-Konstam #algorithm #classification #programming #search-based #using

Group classification using a mix of genetic programming and genetic algorithms (AHK), pp. 308–312.

SAC-1998-LimaR #classification

Maximum likelihood based classification for the microstructure of human sleep (JAL, ACR), pp. 60–64.

ICDAR-1997-ArikiT #classification #recognition

Indexing and Classification of TV News Articles Based on Telop Recognition (YA, TT), pp. 422–427.

ICDAR-1997-BouletreauVSE #classification #parametricity

Synthetic Parameters for Handwriting Classification (VB, NV, RS, HE), pp. 102–106.

ICDAR-1997-DingLS #classification #using

Classification of Oriental and European Scripts by Using Characteristic Features (JD, LL, CYS), pp. 1023–1027.

ICDAR-1997-Horiuchi #classification

Pattern Classification Method by Integrating Interval Feature Values (TH), pp. 847–850.

ICDAR-1997-TsudaM #classification #parametricity

A Nonparametric Density Model for Classification in a High Dimensional Space (KT, MM), pp. 1082–1087.

ICDAR-1997-WaizumiKSN #classification #learning #using

High speed rough classification for handwritten characters using hierarchical learning vector quantization (YW, NK, KS, YN), pp. 23–27.

STOC-1997-KhannaSW #classification #constraints #problem

A Complete Classification of the Approximability of Maximization Problems Derived from Boolean Constraint Satisfaction (SK, MS, DPW), pp. 11–20.

ICALP-1997-ManziniM #automaton #classification #linear

A Complete and Efficiently Computable Topological Classification of D-dimensional Linear Cellular Automata over Zm (GM, LM), pp. 794–804.

ICML-1997-Decatur #classification #induction #learning

PAC Learning with Constant-Partition Classification Noise and Applications to Decision Tree Induction (SED), pp. 83–91.

KDD-1997-AliMS #classification #using

Partial Classification Using Association Rules (KA, SM, RS), pp. 115–118.

KDD-1997-Bayardo #classification #mining

Brute-Force Mining of High-Confidence Classification Rules (RJBJ), pp. 123–126.

KDD-1997-Drucker #classification #performance

Fast Committee Machines for Regression and Classification (HD), pp. 159–162.

KDD-1997-LiuHC #classification #using

Using General Impressions to Analyze Discovered Classification Rules (BL, WH, SC), pp. 31–36.

CADE-1997-Nivelle #classification #order

A Classification of Non-liftable Orders for Resolution (HdN), pp. 336–350.

ICSM-1996-OwensWG #classification #fault #using

Software Error Classification using Purify (HDO, BFW, MJG), pp. 104–113.

AKDDM-1996-CheesemanS #classification

Bayesian Classification (AutoClass): Theory and Results (PC, JS), pp. 153–180.

ICML-1996-AkkusG #classification #nearest neighbour

K Nearest Neighbor Classification on Feature Projections (AA, HAG), pp. 12–19.

ICPR-1996-BandyopadhyayMP #classification

GA-based pattern classification: theoretical and experimental studies (SB, CAM, SKP), pp. 758–762.

ICPR-1996-BonifaziMNP #classification #image #industrial #recognition

The classification of industrial sand-ores by image recognition methods (GB, PM, LN, GP), pp. 174–179.

ICPR-1996-ChangL #classification

Classification with nonexclusive patterns (IC, MHL), pp. 116–120.

ICPR-1996-ChetverikovLKH #classification #using

Zone classification using texture features (DC, JL, JK, RMH), pp. 676–680.

ICPR-1996-CohenDE #classification #image

Computerized classification of color textured perthite images (BC, ID, ME), pp. 601–605.

ICPR-1996-CortijoB #automation #classification #estimation #image #multi #parametricity

Automatic estimation of the LVQ-1 parameters. Applications to multispectral image classification (FJC, NPdlB), pp. 346–350.

ICPR-1996-DoeringW #classification #composition #cost analysis #network #set

Feedforward neural networks for Bayes-optimal classification: investigations into the influence of the composition of the training set on the cost function (AD, HW), pp. 219–223.

ICPR-1996-FerrariBG #array #classification

A VLSI array processor accelerator for k-NN classification (AF, MB, RG), pp. 723–727.

ICPR-1996-GonzalezC #classification #functional #markov #random

The Markov random fields in functional neighbors as a texture model: applications in texture classification (AMG, DC), pp. 815–819.

ICPR-1996-HepplewhiteS #classification #pattern matching #pattern recognition #recognition #using

Texture classification using n-tuple pattern recognition (LH, TJS), pp. 159–163.

ICPR-1996-HolmstromKLO #classification #network #statistics

Neural network and statistical perspectives of classification (LH, PK, JL, EO), pp. 286–290.

ICPR-1996-HuangLSSSLTH #approach #classification #nearest neighbour #prototype

A simulated annealing approach to construct optimized prototypes for nearest-neighbor classification (YSH, KL, CYS, AJS, IIS, MCL, RYT, PKH), pp. 483–487.

ICPR-1996-KalviainenBPK #classification #random

Mixed pixel classification with the randomized Hough transform (HK, PB, MP, JK), pp. 576–580.

ICPR-1996-KauppinenS #classification #fault

The effect of illumination variations on color-based wood defect classification (HK, OS), pp. 828–832.

ICPR-1996-KindratenkoE #classification #fourier #using

Classification of irregularly shaped micro-objects using complex Fourier descriptors (VVK, PJMVE), pp. 285–289.

ICPR-1996-KitamotoT #classification #image #probability

A stochastic model of mixels and image classification (AK, MT), pp. 745–749.

ICPR-1996-KrzyzakL #classification #complexity #convergence #network #parametricity

Radial basis function networks and nonparametric classification: complexity regularization and rates of convergence (AK, TL), pp. 650–653.

ICPR-1996-LaferteHP #algorithm #classification #image #multi

A multiresolution EM algorithm for unsupervised image classification (JML, FH, PP), pp. 849–853.

ICPR-1996-LernerGADR #classification #feature model #network

Feature extraction by neural network nonlinear mapping for pattern classification (BL, HG, MA, ID, YR), pp. 320–324.

ICPR-1996-LiuL #approach #classification #effectiveness #performance #using

An efficient and effective texture classification approach using a new notion in wavelet theory (JFL, JCML), pp. 820–824.

ICPR-1996-MaioM #approach #classification

A structural approach to fingerprint classification (DM, DM), pp. 578–585.

ICPR-1996-MurshedBS #approach #classification #detection #fuzzy #problem

A fuzzy ARTMAP-based classification system for detecting cancerous cells, based on the one-class problem approach (NAM, FB, RS), pp. 478–482.

ICPR-1996-PeuraVK #approach #classification

A new approach to land-based cloud classification (MP, AV, PK), pp. 143–147.

ICPR-1996-PietikainenNMO #classification

Accurate color discrimination with classification based on feature distributions (MP, SN, EM, TO), pp. 833–838.

ICPR-1996-RoliSB #classification #image #multi #network

Classification of multisensor remote-sensing images by multiple structured neural networks (FR, SBS, LB), pp. 180–184.

ICPR-1996-Skubalska-RafajlowiczK #classification #metric #performance #using

Fast k-NN classification rule using metric on space-filling curves (ESR, AK), pp. 121–125.

ICPR-1996-Solberg #analysis #classification #flexibility

Texture fusion and classification based on flexible discriminant analysis (AHSS), pp. 596–600.

ICPR-1996-TingL #classification #string #using

Business form classification using strings (AT, MKHL), pp. 690–694.

ICPR-1996-Yoshii #architecture #classification

Pyramid architecture classification tree (HY), pp. 310–314.

ICPR-1996-ZhangHG #classification #image #knowledge-based #monitoring

Knowledge-based classification of CZCS images and monitoring of red tides off the west Florida shelf (MZ, LOH, DBG), pp. 452–456.

KDD-1996-ShanZHC #classification #database #set #using

Discovering Classification Knowledge in Databases Using Rough Sets (NS, WZ, HJH, NC), pp. 271–274.

KR-1996-JonssonDB #algebra #classification #subclass

Tractable Subclasses of the Point-Interval Algebra: A Complete Classification (PJ, TD, CB), pp. 352–363.

SAC-1996-HarangsriSN #classification #multi #optimisation #query #using

Query optimisation in multidatabase systems using query classification (BH, JS, AHHN), pp. 173–177.

SAC-1996-HasemiPAHP #approach #classification #search-based

A rough-genetic approach for classification of complex data (RH, BAP, RBA, WGH, MGP), pp. 282–288.

KBSE-1995-PenixBA #classification #component #retrieval #reuse #semantics #using

Classification and Retrieval of Reusable Components Using Semantic Features (JP, PB, PA), pp. 131–138.

ICDAR-v1-1995-BunkeL #classification #documentation #parsing #using

Classification and postprocessing of documents using an error-correcting parser (HB, RL), pp. 222–226.

ICDAR-v1-1995-Summers #classification #documentation

Near-wordless document structure classification (KMS), pp. 462–465.

ICDAR-v2-1995-AntonacopoulosR #classification #representation #using

Representation and classification of complex-shaped printed regions using white tiles (AA, RTR), pp. 1132–1135.

ICDAR-v2-1995-DengelD #approach #classification #clustering #documentation #machine learning

Clustering and classification of document structure-a machine learning approach (AD, FD), pp. 587–591.

ICDAR-v2-1995-SauvolaP #analysis #classification #feature model #performance #segmentation #using

Page segmentation and classification using fast feature extraction and connectivity analysis (JJS, MP), pp. 1127–1131.

ICDAR-v2-1995-SivaramakrishnanPHSH #classification #documentation #generative #using

Zone classification in a document using the method of feature vector generation (RS, ITP, JH, SS, RMH), pp. 541–544.

ICDAR-v2-1995-TaylorLN #classification #composition #documentation #functional

Classification and functional decomposition of business documents (SLT, ML, RWN), pp. 563–566.

ICDAR-v2-1995-ZhouHL #classification #recognition

A method of Jia Gu Wen recognition based on a two-level classification (XLZ, XCH, FL), pp. 833–836.

VLDB-1995-TreschPL #classification #documentation

Type Classification of Semi-Structured Documents (MT, NP, AL), pp. 263–274.

WCRE-1995-LakhotiaG #classification #evaluation #towards

Toward Experimental Evaluation of Subsystem Classification Recovery Techniques (AL, JMG), pp. 262–269.

AdaEurope-1995-Kempe #ada #classification #data type #semistructured data

Heterogeneous Data Structures and Cross-Classification of Objects with Ada95 (MK), pp. 71–80.

ICML-1995-Drakopoulos #bound #classification #fault #nearest neighbour

Bounds on the Classification Error of the Nearest Neighbor Rule (JAD), pp. 203–208.

ICML-1995-Lubinsky #classification #consistency #performance #using

Increasing the Performance and Consistency of Classification Trees by Using the Accuracy Criterion at the Leaves (DJL), pp. 371–377.

KDD-1995-HastieT #adaptation #classification #nearest neighbour

Discriminant Adaptive Nearest Neighbor Classification (TH, RT), pp. 142–149.

SEKE-1995-Borstler #classification #feature model #reuse

Feature-Oriented Classification for Software Reuse (JB), pp. 204–211.

SIGIR-1995-Lewis #classification #optimisation

Evaluating and Optimizing Autonomous Text Classification Systems (DDL), pp. 246–254.

SIGIR-1995-Riloff #classification #difference #word

Little Words Can Make a Big Difference for Text Classification (ER), pp. 130–136.

RE-1995-Zave #classification #requirements #research

Classification of research efforts in requirements engineering (PZ), pp. 214–216.

SAC-1995-NauckK #approach #classification

NEFCLASSmdash;a neuro-fuzzy approach for the classification of data (DN, RK), pp. 461–465.

SAC-1995-Stegmaier-StraccaT #classification #detection #fuzzy #using

Cough detection using fuzzy classification (PASS, NNTG), pp. 440–444.

CAiSE-1994-Odberg #classification #database #evolution #flexibility #object-oriented

Category Classes: Flexible Classification and Evolution in Object-Oriented Databases (EO), pp. 406–420.

CIKM-1994-HeinleinKD #classification #guidelines #representation

Representation of Medical Guidelines on Top of a Classification-Based System (CH, KK, PD), pp. 415–422.

CIKM-1994-RoseG #classification #database

Hierarchical Classification as an Aid to Database and Hit-List Browsing (JRR, JG), pp. 408–414.

CIKM-1994-Rundensteiner #algorithm #classification #object-oriented

A Classification Algorithm for Supporting Object-Oriented Views (EAR), pp. 18–25.

SIGIR-1994-Hoch #analysis #classification #documentation #information retrieval #using

Using IR Techniques for Text Classification in Document Analysis (RH), pp. 31–40.

SAC-1994-AleshunasCB #classification

Classification characteristics of SOM and ART2 (JJA, DCSC, WEB), pp. 297–302.

SAC-1994-FlachsbartBCH #algorithm #classification #using

Using the ID3 symbolic classification algorithm to reduce data density (BF, WEB, DCSC, JH), pp. 292–296.

SAC-1994-GentherG #automation #classification #clustering #fuzzy #generative #using

Automatic generation of a fuzzy classification system using fuzzy clustering methods (HG, MG), pp. 180–183.

SAC-1994-Konstam #algorithm #classification #search-based #using

N-group classification using genetic algorithms (AHK), pp. 212–216.

SAC-1994-RitschelPG #classification #multi #rating

Rating of pattern classifications in multi-layer perceptrons: theoretical background and practical results (WR, TP, RG), pp. 142–144.

SAC-1994-Tschichold-Gurman #classification #fuzzy #network

Fuzzy RuleNet: an artificial neural network model for fuzzy classification (NNTG), pp. 145–149.

ICDAR-1993-BayerK #classification #segmentation

Cut classification for segmentation (TAB, UK), pp. 565–568.

ICDAR-1993-DuneauD #classification #recognition

An improved classification for cursive script recognition (LD, BD), pp. 842–845.

ICDAR-1993-HaoWN #analysis #approach #classification #documentation #layout #segmentation

Nested segmentation: an approach for layout analysis in document classification (XH, JTLW, PAN), pp. 319–322.

ICDAR-1993-ImadeTW #classification #documentation #image #network #segmentation #using

Segmentation and classification for mixed text/image documents using neural network (SI, ST, TW), pp. 930–934.

ICDAR-1993-IwaneYI #analysis #approach #classification #documentation #functional #image #layout

A functional classification approach to layout analysis of document images (KI, MY, OI), pp. 778–781.

ICDAR-1993-IwataM #algorithm #classification

A color classification algorithm (KI, GM), pp. 726–729.

ICDAR-1993-ZidouriCS #classification #documentation #image

Classification of compound document image patterns by MCR stroke index (ABCZ, SC, MS), pp. 753–756.

CIKM-1993-EickJ #algorithm #classification #learning #search-based

Learning Bayesian Classification Rules through Genetic Algorithms (CFE, DJ), pp. 305–313.

CIKM-1993-Riloff #classification #using

Using Cases to Represent Context for Text Classification (ER), pp. 105–113.

SEKE-1993-LaiY #classification #grid #multi #reuse

Multi-Layer Repertory Grid Classification for Increasing Software Reusability (STL, CCY), pp. 252–254.

SEKE-1993-Porter #classification #component #predict

Developing and Analyzing Classification Rules for Predicting Faulty Software Components (AAP), pp. 453–461.

RE-1993-BickertonS #classification #requirements

The classification of requirements engineering methods (MJB, JS), pp. 182–186.

ICSE-1993-Zelkowitz #classification

Use of an Environment Classification Model (MVZ), pp. 348–357.

ML-1992-HunterHS #classification #performance

Efficient Classification of Massive, Unsegmented Datastreams (LH, NLH, DJS), pp. 224–232.

SIGIR-1992-BlossevilleHMP #analysis #automation #classification #documentation #natural language #statistics

Automatic Document Classification: Natural Language Processing, Statistical Analysis, and Expert System Techniques used together (MJB, GH, MGM, NP), pp. 51–58.

OOPSLA-1992-Yelland #classification #smalltalk

Experimental Classification Facilities for Smalltalk (PMY), pp. 235–246.

TOOLS-EUROPE-1992-KarlssonST #classification #component #object-oriented #reuse

Classification of Object-Oriented Components for Reuse (EAK, LSS, ET), pp. 21–31.

KDD-1991-WuSO #classification #heuristic #integration

Integration of Heuristic and Bayesian Approaches in a Pattern-Classification System (QW, PS, AO), pp. 249–260.

ML-1991-BelyaevF #classification

Noise-Resistant Classification (LVB, LPF), pp. 581–585.

ML-1991-CrawfordFAT #classification #information retrieval

Classification Trees for Information Retrieval (SLC, RMF, LAA, RMT), pp. 245–249.

POPL-1991-LandiR #alias #classification #pointer #problem

Pointer-Induced Aliasing: A Problem Classification (WL, BGR), pp. 93–103.

ESEC-1991-SelbyM #analysis #classification #metric

Metric-Driven Classification Analysis (RWS, RKM), pp. 290–307.

SEKE-1990-EichmannA #classification #design

Design of a Lattice-Based Faceted Classification System (DE, JA), pp. 90–97.

ICSE-1990-Diaz #case study #classification #experience #implementation #reuse

Implementing Faceted Classification for Software Reuse (Experience Report) (RPD), pp. 300–304.

LICS-1990-Jung #classification

The Classification of Continuous Domains (Extended Abstract) (AJ), pp. 35–40.

CAiSE-1989-HernbackL #analysis #automation #classification #framework #implementation #tool support

A Framework for Use and Classification of CASE Tools in Systems Analysis and a Strategy for Implementation (JH, IL).

CAiSE-1989-Nilsson #classification #development #information management

Information Systems Development: A Frame Of Reference and Classifications (AGN).

ML-1989-Buntine #classification #learning #using

Learning Classification Rules Using Bayes (WLB), pp. 94–98.

SIGIR-1989-Kwasnik #classification #documentation #how

How a Personal Document’s Intended Use or Purpose Affects its Classification in an Office (BHK), pp. 207–210.

SIGMOD-1988-YounHH #classification #database #deduction #recursion

Classification of Recursive Formulas in Deductive Databases (CY, LJH, JH), pp. 320–328.

ML-1988-CheesemanKSSTF #classification #named

AutoClass: A Bayesian Classification System (PC, JK, MS, JS, WT, DF), pp. 54–64.

ML-1988-TanE #classification #network #using

Using Weighted Networks to Represent Classification Knowledge in Noisy Domains (MT, LJE), pp. 121–134.

ECOOP-1988-Knudsen #classification #multi

Name Collision in Multiple Classification Hierarchies (JLK), pp. 93–109.

JICSCP-1988-AptB88 #classification #modelling #source code

Arithmetic Classification of Perfect Models of Stratified Programs (KRA, HAB), pp. 765–779.

ECOOP-1987-KristensenMMN #classification #inheritance

Classification of Actions, or Inheritance also for Methods (BBK, OLM, BMP, KN), pp. 98–107.

ICALP-1986-AverbuchWG #algorithm #classification #polynomial

Classification of all the Minimal Bilinear Algorithms for Computing the Coefficients of the Product of Two Polynomials Modulo a Polynomial (AA, SW, ZG), pp. 31–39.

CADE-1986-Walther #classification #problem #unification

A Classification of Many-Sorted Unification Problems (CW), pp. 525–537.

VLDB-1984-Woehl #automation #classification #database #documentation #prolog #relational

Automatic Classification of Office Documents by Coupling Relational Data Bases and PROLOG Expert Systems (KW), pp. 529–532.

CADE-1982-SiekmannS #classification #equation #unification

Universal Unification and a Classification of Equational Theories (JHS, PS), pp. 369–389.

SIGIR-1981-Fraenkel #classification #documentation #problem

Document Classification, Indexing and Abstracting May be Inherently Difficult Problems (ASF), pp. 77–82.

DAC-1978-Harvel #classification #effectiveness

Classification of PCB types for cost effective solutions (JTH), pp. 444–445.

VLDB-1978-Ashany #analysis #classification #database #matrix #retrieval #scalability

Application of Sparse Matrix Techniques to Search, Retrieval, Classification and Relationship Analysis in Large Data Base Systems — SPARCOM (RA), pp. 499–516.

STOC-1971-Machtey #classification #recursion

Classification of Computable Functions by Primitive Recursive Classes (MM), pp. 251–257.

SIGIR-1971-Jackson #classification

Optimal Classification and Its Consequences (DMJ), pp. 217–224.