Stem svm$ (all stems)

137 papers:

ICML-2015-ChangYXY #detection #semantics #using

Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM (XC, YY, EPX, YY), pp. 1348–1357.

ICML-2015-LeeR #distributed #linear #optimisation #polynomial

Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM (CPL, DR), pp. 987–996.

CIKM-2014-Wen0R #precise

Enabling Precision/Recall Preferences for Semi-supervised SVM Training (ZW, RZ, KR), pp. 421–430.

ICML-c2-2014-NieHH #linear

Linear Time Solver for Primal SVM (FN, YH, HH), pp. 505–513.

ICML-c2-2014-PingLI

Marginal Structured SVM with Hidden Variables (WP, QL, ATI), pp. 190–198.

ICML-c2-2014-SuzumuraOST #algorithm #robust

Outlier Path: A Homotopy Algorithm for Robust SVM (SS, KO, MS, IT), pp. 1098–1106.

ICML-c2-2014-WangWY #reduction #scalability

Scaling SVM and Least Absolute Deviations via Exact Data Reduction (JW, PW, JY), pp. 523–531.

ICPR-2014-ChenL #effectiveness #locality

Effective Part Localization in Latent-SVM Training (YC, RL), pp. 4269–4274.

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-RavalTJ #classification #encoding #evaluation #fault #performance #using

Efficient Evaluation of SVM Classifiers Using Error Space Encoding (NR, RVT, CVJ), pp. 4411–4416.

ICPR-2014-XuRVL #adaptation #multi

Cost-Sensitive Structured SVM for Multi-category Domain Adaptation (JX, SR, DV, AML), pp. 3886–3891.

ICPR-2014-YuncuHB #automation #modelling #recognition #speech #using

Automatic Speech Emotion Recognition Using Auditory Models with Binary Decision Tree and SVM (EY, HH, CB), pp. 773–778.

ICPR-2014-ZhangHLHZL #approach #feature model #hybrid

A Hybrid Feature Selection Approach by Correlation-Based Filters and SVM-RFE (JZ, XH, PPL, WH, YZ, HL), pp. 3684–3689.

SAC-2014-ChenLFCCK #algorithm #design #detection #effectiveness #health #implementation #monitoring

Design and implementation of a personal health monitoring system with an effective SVM-based PVC detection algorithm in cardiology (HC, GTL, YCF, BCC, CMC, TCK), pp. 33–35.

DRR-2013-NayefB #geometry

Combining geometric matching with SVM to improve symbol spotting (NN, TMB).

DRR-2013-RicquebourgCG #evaluation #recognition #robust #verification #word

Evaluation of lexicon size variations on a verification and rejection system based on SVM, for accurate and robust recognition of handwritten words (YR, BC, LG).

DRR-2013-ZhangZLT #modelling #recognition

Combining discriminative SVM models for the improved recognition of investigator names in medical articles (XZ, JZ, DXL, GRT).

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-KimLT #classification #heuristic #identification #using

Identification of Investigator Name Zones Using SVM Classifiers and Heuristic Rules (JK, DXL, GRT), pp. 140–144.

ICDAR-2013-WeiBSI #analysis #classification #documentation #evaluation #layout

Evaluation of SVM, MLP and GMM Classifiers for Layout Analysis of Historical Documents (HW, MB, FS, RI), pp. 1220–1224.

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.

ICML-c1-2013-NarasimhanA #approach #optimisation

A Structural SVM Based Approach for Optimizing Partial AUC (HN, SA), pp. 516–524.

ICML-c3-2013-JoseGAV #kernel #learning #performance #predict

Local Deep Kernel Learning for Efficient Non-linear SVM Prediction (CJ, PG, PA, MV), pp. 486–494.

ICML-c3-2013-OgawaST

Safe Screening of Non-Support Vectors in Pathwise SVM Computation (KO, YS, IT), pp. 1382–1390.

ICML-c3-2013-YuLKJC #learning

∝SVM for Learning with Label Proportions (FXY, DL, SK, TJ, SFC), pp. 504–512.

MLDM-2013-ChungJKL #identification #personalisation #recommendation

Personalized Expert-Based Recommender System: Training C-SVM for Personalized Expert Identification (YC, HWJ, JK, JHL), pp. 434–441.

DRR-2012-KimLT #classification #identification

Combining SVM classifiers to identify investigator name zones in biomedical articles (JK, DXL, GRT).

DRR-2012-LinGTHL #documentation #embedded #identification #using

Identification of embedded mathematical formulas in PDF documents using SVM (XL, LG, ZT, XH, XL).

WCRE-2012-MaigaABSGA #anti #approach #detection #incremental #named

SMURF: A SVM-based Incremental Anti-pattern Detection Approach (AM, NA, NB, AS, YGG, EA), pp. 466–475.

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-PighettiPP #algorithm #image #interactive #multi #retrieval #search-based

Hybdrid Content Based Image Retrieval combining multi-objective interactive genetic algorithm and SVM (RP, DP, FP), pp. 2849–2852.

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-SoranHLS #detection #using

Tremor detection using motion filtering and SVM (BS, JNH, SIL, LGS), pp. 178–181.

ICPR-2012-YamasakiC #classification #recognition #refinement

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

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-NascimentoPS #classification #image #using

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

CASE-2011-ColP #detection #performance #recursion

Fast and accurate object detection by means of recursive monomial feature elimination and cascade of SVM (LDC, FAP), pp. 304–309.

ICDAR-2011-AroraN #framework #recognition

A Semi-supervised SVM Framework for Character Recognition (AA, AMN), pp. 1105–1109.

ICML-2011-CossalterYZ #adaptation #approximate #kernel #predict #scalability

Adaptive Kernel Approximation for Large-Scale Non-Linear SVM Prediction (MC, RY, LZ), pp. 409–416.

ICML-2011-SmallWBT #learning

The Constrained Weight Space SVM: Learning with Ranked Features (KS, BCW, CEB, TAT), pp. 865–872.

ICML-2011-ZhuCX #infinity #kernel #process

Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines (JZ, NC, EPX), pp. 617–624.

KDD-2011-ChenRT #adaptation #detection #incremental #learning

Detecting bots via incremental LS-SVM learning with dynamic feature adaptation (FC, SR, PNT), pp. 386–394.

MLDM-2011-LiTM #classification #hybrid #named #performance

ACE-Cost: Acquisition Cost Efficient Classifier by Hybrid Decision Tree with Local SVM Leaves (LL, UT, NDM), pp. 60–74.

MLDM-2011-PiatkowskaMNP #analysis #image #multi #semantics #using

A Decision Support System Based on the Semantic Analysis of Melanoma Images Using Multi-elitist PSO and SVM (WP, JM, LN, KP), pp. 362–374.

DRR-2010-KimLT #classification #naive bayes #online

Naïve Bayes and SVM classifiers for classifying databank accession number sentences from online biomedical articles (JK, DXL, GRT), pp. 1–10.

CIKM-2010-NguyenYLF #case study #experience #learning #multi #ranking #using

Experiences with using SVM-based learning for multi-objective ranking (LTN, WGY, RL, OF), pp. 1917–1920.

ICML-2010-Ruping #classification #estimation

SVM Classifier Estimation from Group Probabilities (SR), pp. 911–918.

ICML-2010-TanWT #dataset #feature model #learning

Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets (MT, LW, IWT), pp. 1047–1054.

ICPR-2010-HarirchiRMDG #algorithm #detection #using

Two-Level Algorithm for MCs Detection in Mammograms Using Diverse-Adaboost-SVM (FH, PR, HAM, FD, MG), pp. 269–272.

ICPR-2010-LariosSSMLD #identification #kernel #random

Haar Random Forest Features and SVM Spatial Matching Kernel for Stonefly Species Identification (NL, BS, LGS, GMM, JL, TGD), pp. 2624–2627.

ICPR-2010-Lei #distance #using #verification

Combining the Likelihood and the Kullback-Leibler Distance in Estimating the Universal Background Model for Speaker Verification Using SVM (ZL), pp. 4553–4556.

ICPR-2010-LiuYZH #multi #recognition

Action Recognition by Multiple Features and Hyper-Sphere Multi-class SVM (JL, JY, YZ, XH), pp. 3744–3747.

ICPR-2010-WuLW #image #learning #retrieval #using

Enhancing SVM Active Learning for Image Retrieval Using Semi-supervised Bias-Ensemble (JW, ML, CLW), pp. 3175–3178.

ICPR-2010-ZhangSW #classification #online

A SVM-HMM Based Online Classifier for Handwritten Chemical Symbols (YZ, GS, KW), pp. 1888–1891.

HPCA-2010-LeeLSKKS #clustering #manycore

COMIC++: A software SVM system for heterogeneous multicore accelerator clusters (JL, JL, SS, JK, SK, ZS), pp. 1–12.

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.

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-QianNZ #multi #performance

Efficient multi-class unlabeled constrained semi-supervised SVM (MQ, FN, CZ), pp. 1665–1668.

CIKM-2009-VienVCYKC #kernel #locality #named #using #visualisation

VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels (NAV, NHV, TC, HY, SK, BHC), pp. 2081–2082.

KDD-2009-FormanSR #classification #linear

Feature shaping for linear SVM classifiers (GF, MS, SR), pp. 299–308.

MLDM-2009-NunesSP #detection #image #using

Detection of Masses in Mammographic Images Using Simpson’s Diversity Index in Circular Regions and SVM (APN, ACS, ACdP), pp. 540–553.

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.

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-HoefelE #classification #learning #sequence

Learning a two-stage SVM/CRF sequence classifier (GH, CE), pp. 271–278.

ICML-2008-ChenY #kernel

Training SVM with indefinite kernels (JC, JY), pp. 136–143.

ICML-2008-HsiehCLKS #coordination #linear #scalability

A dual coordinate descent method for large-scale linear SVM (CJH, KWC, CJL, SSK, SS), pp. 408–415.

ICML-2008-Shalev-ShwartzS #dependence #optimisation #set

SVM optimization: inverse dependence on training set size (SSS, NS), pp. 928–935.

ICPR-2008-AdankonC #classification

Help-training for semi-supervised discriminative classifiers. Application to SVM (MMA, MC), pp. 1–4.

ICPR-2008-ChangFLI #clustering #detection #kernel #multi

Clustered Microcalcification detection based on a Multiple Kernel Support Vector Machine with Grouped Features (GF-SVM) (TTC, JF, HWL, HHSI), pp. 1–4.

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-IlayarajaNJ #implementation #performance #problem #scalability

Efficient implementation of SVM for large class problems (PI, NVN, CVJ), pp. 1–4.

ICPR-2008-SinghNGBSP #hybrid #random #using

Hybrid SVM — Random Forest classication system for oral cancer screening using LIF spectra (RKS, SKN, LG, SB, CS, KMP), pp. 1–4.

ICPR-2008-WatanabeK08a #dataset #scalability

RANSAC-SVM for large-scale datasets (KW, TK), pp. 1–4.

KDD-2008-ZhaoWZ #algorithm #named #performance #virtual machine

Cuts3vm: a fast semi-supervised svm algorithm (BZ, FW, CZ), pp. 830–838.

SIGIR-2008-LeeKJ #algorithm #constraints #learning

Fixed-threshold SMO for Joint Constraint Learning Algorithm of Structural SVM (CL, HK, MGJ), pp. 829–830.

CASE-2007-ChenT #classification #gesture #multi #recognition

Multiple-angle Hand Gesture Recognition by Fusing SVM Classifiers (YTC, KTT), pp. 527–530.

ICDAR-2007-ChandaTP #identification

SVM Based Scheme for Thai and English Script Identification (SC, ORT, UP), pp. 551–555.

ICDAR-2007-ChatelainALHP #multi #optimisation

Multi-Objective Optimization for SVM Model Selection (CC, SA, YL, LH, TP), pp. 427–431.

ICDAR-2007-HuangSHFN #approach #difference #recognition #using

An SVM-Based High-accurate Recognition Approach for Handwritten Numerals by Using Difference Features (KH, JS, YH, KF, SN), pp. 589–593.

ICDAR-2007-ImdadBERE #identification #using

Writer Identification Using Steered Hermite Features and SVM (AI, SB, VE, CRM, HE), pp. 839–843.

ICDAR-2007-MajumdarC #multi

Curvelet-Based Multi SVM Recognizer for Offline Handwritten Bangla: A Major Indian Script (AM, BBC), pp. 491–495.

ECIR-2007-AyacheQG #classification #multi #semantics

Classifier Fusion for SVM-Based Multimedia Semantic Indexing (SA, GQ, JG), pp. 494–504.

ICML-2007-ChanVL

Direct convex relaxations of sparse SVM (ABC, NV, GRGL), pp. 145–153.

ICML-2007-Shalev-ShwartzSS #named

Pegasos: Primal Estimated sub-GrAdient SOlver for SVM (SSS, YS, NS), pp. 807–814.

MLDM-2007-JiangI #learning

Dynamic Distance-Based Active Learning with SVM (JJ, HHSI), pp. 296–309.

SIGIR-2007-LiaoC #query #ranking

Applying ranking SVM in query relaxation (CL, TC), pp. 763–764.

ICML-2006-Cesa-BianchiGZ #classification

Hierarchical classification: combining Bayes with SVM (NCB, CG, LZ), pp. 177–184.

ICPR-v1-2006-PaoCYL #recognition #speech

Mandarin Emotional Speech Recognition Based on SVM and NN (TLP, YTC, JHY, PJL), pp. 1096–1100.

ICPR-v1-2006-ZhangLSC #classification #corpus #performance

An Efficient SVM Classifier for Lopsided Corpora (XZ, BCL, WS, LC), pp. 1144–1147.

ICPR-v2-2006-ChenCC #comparison

A Comparison of Texture Features Based on SVM and SOM (CMC, CCC, CCC), pp. 630–633.

ICPR-v2-2006-DagliRH #information management

Utilizing Information Theoretic Diversity for SVM Active Learn (CKD, SR, TSH), pp. 506–511.

ICPR-v2-2006-MavroforakisST #algorithm #geometry #novel

A novel SVM Geometric Algorithm based on Reduced Convex Hulls (MEM, MS, ST), pp. 564–568.

ICPR-v2-2006-SungZL #learning #scalability #set

Accelerating the SVM Learning for Very Large Data Sets (ES, YZ, XL), pp. 484–489.

ICPR-v2-2006-WuLZH #learning

A Semi-supervised SVM for Manifold Learning (ZW, ChL, JZ, JH), pp. 490–493.

ICPR-v3-2006-BredinDC #recognition

GMM-based SVM for face recognition (HB, ND, GC), pp. 1111–1114.

ICPR-v3-2006-HeTHY #difference #recognition

Face Recognition with Relative Difference Space and SVM (XH, JT, YH, XY), pp. 527–531.

ICPR-v3-2006-PengWT #image #performance

A New Efficient SVM-based Image Registration Method (DP, DW, JWT), pp. 782–785.

ICPR-v3-2006-SmithKHI #recognition #using

Face Recognition Using Angular LDA and SVM Ensembles (RSS, JK, MH, JI), pp. 1008–1012.

ICPR-v4-2006-LiuXYD #hybrid #verification

A New Hybrid GMM/SVM for Speaker Verification (ML, YX, ZY, BD), pp. 314–317.

SIGIR-2006-CaoXLLHH #adaptation #documentation #ranking #retrieval

Adapting ranking SVM to document retrieval (YC, JX, TYL, HL, YH, HWH), pp. 186–193.

SAC-2006-SoaresB #kernel #parametricity #using

Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features (CS, PB), pp. 564–568.

SAC-2006-YuJV #kernel #privacy #using

Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data (HY, XJ, JV), pp. 603–610.

ICDAR-2005-MiyaoMNH #online #recognition

Off-Line Handwritten Character Recognition by SVM on the Virtual Examples Synthesized from On-Line Characters (HM, MM, YN, TH), pp. 494–498.

VLDB-2005-MilenovaYC #database

SVM in Oracle Database 10g: Removing the Barriers to Widespread Adoption of Support Vector Machines (BLM, JY, MMC), pp. 1152–1163.

ICEIS-v2-2005-DoP #dataset #mining #scalability #visualisation

Mining Very Large Datasets with SVM and Visualization (TND, FP), pp. 127–141.

ICEIS-v2-2005-Poulet #visual notation

Visual SVM (FP), pp. 309–314.

ICML-2005-SonnenburgRS #classification #scalability #sequence

Large scale genomic sequence SVM classifiers (SS, GR, BS), pp. 848–855.

ICML-2005-SunD #approach #learning

Explanation-Augmented SVM: an approach to incorporating domain knowledge into SVM learning (QS, GD), pp. 864–871.

KDD-2005-Yu #ranking #retrieval

SVM selective sampling for ranking with application to data retrieval (HY), pp. 354–363.

MLDM-2005-LiFKL #automation #image #modelling #segmentation #using

Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM (SL, TF, AK, SL), pp. 314–324.

MLDM-2005-SilvaPO #comparison

Comparison of FLDA, MLP and SVM in Diagnosis of Lung Nodule (ACS, ACdP, ACMdO), pp. 285–294.

ICML-2004-HardinTA #feature model #linear

A theoretical characterization of linear SVM-based feature selection (DPH, IT, CFA).

ICML-2004-TaoSVO #approximate #learning #multi

SVM-based generalized multiple-instance learning via approximate box counting (QT, SDS, NVV, TTO).

ICML-2004-WuD #data flow

Improving SVM accuracy by training on auxiliary data sources (PW, TGD).

ICPR-v1-2004-LebrunCC #reduction #using

SVM Training Time Reduction using Vector Quantization (GL, CC, HC), pp. 160–163.

ICPR-v1-2004-LiS #classification #design

SVM-Based Classifier Design with Controlled Confidence (ML, IKS), pp. 164–167.

ICPR-v1-2004-ZhangP #classification

SVM vs Regularized Least Squares Classification (PZ, JP), pp. 176–179.

ICPR-v2-2004-KoKB #image #retrieval

SVM-based Salient Region(s) Extraction Method for Image Retrieval (BK, SYK, HB), pp. 977–980.

ICPR-v2-2004-MozaffarifK #classification #comparison #recognition #using

Feature Comparison between Fractal Codes and Wavelet Transform in Handwritten Alphanumeric Recognition Using SVM Classifier (SM, KF, HRK), pp. 331–334.

ICPR-v2-2004-WangXC #image #information management #retrieval

Incorporating Prior Knowledge into SVM for Image Retrieval (LW, PX, KLC), pp. 981–984.

ICPR-v2-2004-WeiXMJS #hybrid

A Hybrid SOM-SVM Method for Analyzing Zebra Fish Gene Expression (WW, LX, XM, PJ, RS), pp. 323–326.

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-SchuldtLC #approach

Recognizing Human Actions: A Local SVM Approach (CS, IL, BC), pp. 32–36.

ICML-2003-VishwanathanSM

SimpleSVM (SVNV, AJS, MNM), pp. 760–767.

ICML-2003-ZhangJYH #approximate #categorisation #scalability

Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization (JZ, RJ, YY, AGH), pp. 888–895.

ICPR-v2-2002-ChenC

Speeding up SVM Decision Based on Mirror Points (JHC, CSC), pp. 869–872.

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-VishwanathanM #algorithm #geometry #performance

Geometric SVM: A Fast and Intuitive SVM Algorithm (SVNV, MNM), pp. 56–59.

ICPR-v3-2002-AyatCS #kernel #named #pattern matching #pattern recognition #recognition

KMOD — A Tw o-Parameter SVM Kernel for Pattern Recognition (NEA, MC, CYS), pp. 331–334.

ICPR-v3-2002-GorgevikC #classification #recognition

Combining SVM Classifiers for Handwritten Digit Recognition (DG, DC), pp. 102–105.

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.

ICDAR-2001-BelliliGG #hybrid

An Hybrid MLP-SVM Handwritten Digit Recognizer (AB, MG, PG), pp. 28–33.

CIKM-2001-GohCC #classification #image

SVM Binary Classifier Ensembles for Image Classification (KG, EYC, KTC), pp. 395–402.

ICML-2000-BennettB #classification #geometry

Duality and Geometry in SVM Classifiers (KPB, EJB), pp. 57–64.

ICML-2000-Joachims #performance

Estimating the Generalization Performance of an SVM Efficiently (TJ), pp. 431–438.

ICPR-1998-HuangSW #using

Face pose discrimination using support vector machines (SVM) (JH, XS, HW), pp. 154–156.

HPCA-1998-SamantaBIS #clustering #design #performance #protocol

Home-Based SVM Protocols for SMP Clusters: Design and Performance (RS, AB, LI, JPS), pp. 113–124.