Stem discrimin$ (all stems)

402 papers:

ECIR-2015-JungL #approach #predict

A Discriminative Approach to Predicting Assessor Accuracy (HJJ, ML), pp. 159–171.

ECIR-2015-OentaryoLL #twitter

Chalk and Cheese in Twitter: Discriminating Personal and Organization Accounts (RJO, JWL, EPL), pp. 465–476.

ICML-2015-HongYKH #learning #network #online

Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network (SH, TY, SK, BH), pp. 597–606.

ICML-2015-YuanHTLC #modelling

Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood (XY, RH, ET, RL, LC), pp. 1254–1263.

KDD-2015-KimCKRP #matrix #topic

Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization (HK, JC, JK, CKR, HP), pp. 567–576.

KDD-2015-ZhongLSR #recommendation #scalability

Building Discriminative User Profiles for Large-scale Content Recommendation (EZ, NL, YS, SR), pp. 2277–2286.

SIGIR-2015-WangSWZSLL #cumulative #recommendation

An Entity Class-Dependent Discriminative Mixture Model for Cumulative Citation Recommendation (JW, DS, QW, ZZ, LS, LL, CYL), pp. 635–644.

SAC-2015-PedrosaT #approach #encoding #visual notation #word

Compact and discriminative approach for encoding spatial-relationship of visual words (GVP, AJMT), pp. 92–95.

ASE-2014-PalepuJ #dynamic analysis #slicing

Discriminating influences among instructions in a dynamic slice (VKP, JAJ), pp. 37–42.

DRR-2014-RicquebourgRPLC

Boosting bonsai trees for handwritten/printed text discrimination (YR, CR, BP, AL, BC), pp. 902105–12.

ICML-c1-2014-KarampatziakisM

Discriminative Features via Generalized Eigenvectors (NK, PM), pp. 494–502.

ICML-c1-2014-SamdaniCR #clustering #online

A Discriminative Latent Variable Model for Online Clustering (RS, KWC, DR), pp. 1–9.

ICML-c2-2014-LefakisF #programming

Dynamic Programming Boosting for Discriminative Macro-Action Discovery (LL, FF), pp. 1548–1556.

ICML-c2-2014-TuZWQ #analysis #scalability

Making Fisher Discriminant Analysis Scalable (BT, ZZ, SW, HQ), pp. 964–972.

ICPR-2014-ArvanitopoulosBT #analysis #learning

Laplacian Support Vector Analysis for Subspace Discriminative Learning (NA, DB, AT), pp. 1609–1614.

ICPR-2014-CaoH #polynomial #revisited

Quadratic Discriminant Revisited (WC, RMH), pp. 1283–1288.

ICPR-2014-ChenYJ #analysis #feature model #linear #robust

An Improved Linear Discriminant Analysis with L1-Norm for Robust Feature Extraction (XC, JY, ZJ), pp. 1585–1590.

ICPR-2014-HuangZLW #distance #feature model

A Method of Discriminative Information Preservation and In-Dimension Distance Minimization Method for Feature Selection (SH, JZ, XL, LW), pp. 1615–1620.

ICPR-2014-KrytheL #analysis #linear

Implicitly Constrained Semi-supervised Linear Discriminant Analysis (JHK, ML), pp. 3762–3767.

ICPR-2014-LiuFW #keyword

Audio-visual Keyword Spotting for Mandarin Based on Discriminative Local Spatial-Temporal Descriptors (HL, TF, PW), pp. 785–790.

ICPR-2014-LiuS #analysis

Discriminative Partition Sparsity Analysis (LL, LS), pp. 1597–1602.

ICPR-2014-MatsukawaOS #identification

Person Re-identification via Discriminative Accumulation of Local Features (TM, TO, YS), pp. 3975–3980.

ICPR-2014-MurshedJI #robust

Discriminative Directional Texture and Color for Robust Target Tracking (MM, TJ, SMZI), pp. 4176–4181.

ICPR-2014-RazakarivonyJ #detection

Discriminative Autoencoders for Small Targets Detection (SR, FJ), pp. 3528–3533.

ICPR-2014-RehnS #locality #visual notation

Nonlinear Supervised Locality Preserving Projections for Visual Pattern Discrimination (EMR, HS), pp. 1568–1573.

ICPR-2014-SicreJ #classification #image

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

ICPR-2014-WangGLYWY #analysis #canonical #correlation

Unsupervised Discriminant Canonical Correlation Analysis for Feature Fusion (SW, XG, JL, JYY, RW, JY), pp. 1550–1555.

ICPR-2014-WangYWWL

Discriminative Representative Selection via Structure Sparsity (BW, QY, SW, LW, GL), pp. 1401–1406.

ICPR-2014-YangCCW #image

Fisher’s Discriminant with Natural Image Priors (YHY, LHC, CSC, CCW), pp. 4305–4309.

ICPR-2014-YanRLSS #analysis #clustering #invariant #linear #multi #recognition

Clustered Multi-task Linear Discriminant Analysis for View Invariant Color-Depth Action Recognition (YY, ER, GL, RS, NS), pp. 3493–3498.

ICPR-2014-ZhaoFW0LL #modelling #process #recognition

Discriminative Context Models for Collective Activity Recognition (CZ, WF, JW, XB, QL, HL), pp. 648–653.

ICPR-2014-ZhouZYL #feature model #polynomial #recognition

Improving Handwritten Chinese Character Recognition with Discriminative Quadratic Feature Extraction (MKZ, XYZ, FY, CLL), pp. 244–249.

KDD-2014-ChenCW #classification #performance #scalability

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

RecSys-2014-LiuGWB #power of #using

Improving the discriminative power of inferred content information using segmented virtual profile (HL, AG, TW, AB), pp. 97–104.

SIGIR-2014-ColeHBS #information management #process

Discrimination between tasks with user activity patterns during information search (MJC, CH, NJB, CS), pp. 567–576.

SIGIR-2014-YuWYTLZ #performance #retrieval #taxonomy

Discriminative coupled dictionary hashing for fast cross-media retrieval (ZY, FW, YY, QT, JL, YZ), pp. 395–404.

LICS-CSL-2014-BernardoSV #higher-order #interactive #on the #power of

On the discriminating power of passivation and higher-order interaction (MB, DS, VV), p. 10.

CASE-2013-ChenZS #metric #using

A severity measurement system for obstructive sleep apnea discrimination using a single ECG signal (LC, XZ, CS), pp. 1–6.

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-DanielsB #identification

Discriminating Features for Writer Identification (ZAD, HSB), pp. 1385–1389.

ICDAR-2013-DuH #approach #normalisation #online #recognition #variability

An Irrelevant Variability Normalization Based Discriminative Training Approach for Online Handwritten Chinese Character Recognition (JD, QH), pp. 69–73.

ICDAR-2013-Furukawa #composition #using

A New Method for Discriminating Printers Based on Contours Qualities of Printed Characters Using Wavelet Decomposition (TF), pp. 1115–1119.

ICDAR-2013-PrumVFO #approach #modelling #online #recognition #using

A Discriminative Approach to On-Line Handwriting Recognition Using Bi-character Models (SP, MV, AF, JMO), pp. 364–368.

ICDAR-2013-SuL #learning #recognition

Discriminative Weighting and Subspace Learning for Ensemble Symbol Recognition (FS, TL), pp. 1088–1092.

ICDAR-2013-WangLD #analysis #recognition

Similar Pattern Discriminant Analysis for Improving Chinese Character Recognition Accuracy (YW, CL, XD), pp. 1056–1060.

ICDAR-2013-YadavCK #using

Most Discriminative Primitive Selection for Identity Determination Using Handwritten Devanagari Script (NY, SC, PKK), pp. 1390–1394.

ICDAR-2013-ZhangL #polynomial

Locally Smoothed Modified Quadratic Discriminant Function (XYZ, CLL), pp. 8–12.

ICDAR-2013-ZhouYL #learning #performance #polynomial #recognition

GPU-Based Fast Training of Discriminative Learning Quadratic Discriminant Function for Handwritten Chinese Character Recognition (MKZ, FY, CLL), pp. 842–846.

MSR-2013-SahaSS #approach #automation #stack overflow

A discriminative model approach for suggesting tags automatically for stack overflow questions (AKS, RKS, KAS), pp. 73–76.

HIMI-HSM-2013-NgoVGS #visual notation

A Visual Discrimination Task for Symbols in Air Traffic Management (MKN, KPLV, TG, TZS), pp. 540–547.

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-FangZ #feature model #learning #multi

Discriminative feature selection for multi-view cross-domain learning (ZF, Z(Z), pp. 1321–1330.

ICML-c1-2013-GirshickSD

Discriminatively Activated Sparselets (RBG, HOS, TD), pp. 196–204.

ICML-c1-2013-GongGS #adaptation #invariant #learning

Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation (BG, KG, FS), pp. 222–230.

ICML-c1-2013-ZhangC #analysis #linear

Sparse Uncorrelated Linear Discriminant Analysis (XZ, DC), pp. 45–52.

ICML-c3-2013-Chatzis #infinity

Infinite Markov-Switching Maximum Entropy Discrimination Machines (SC), pp. 729–737.

ICML-c3-2013-WangNH #learning #robust #self

Robust and Discriminative Self-Taught Learning (HW, FN, HH), pp. 298–306.

KDD-2013-CaiQ #analysis #linear #on the #rank

On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions (XC, CHQD, FN, HH), pp. 1124–1132.

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-RanuHS #mining #network

Mining discriminative subgraphs from global-state networks (SR, MXH, AKS), pp. 509–517.

KDD-2013-WangY #learning #query

Querying discriminative and representative samples for batch mode active learning (ZW, JY), pp. 158–166.

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

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

SAC-2013-MaunzVH #graph #mining

Out-of-bag discriminative graph mining (AM, DV, CH), pp. 109–114.

CHI-2012-ZhangYELBI #lightweight

See me, see you: a lightweight method for discriminating user touches on tabletop displays (HZ, XDY, BE, HNL, PB, PI), pp. 2327–2336.

CIKM-2012-YaoS12a #classification #web

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

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

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

ICML-2012-BonillaR #learning #probability #prototype

Discriminative Probabilistic Prototype Learning (EVB, ARK), p. 155.

ICML-2012-ChenCRCC #analysis #linear

Communications Inspired Linear Discriminant Analysis (MC, WRC, MRDR, LC, ARC), p. 196.

ICML-2012-MerchanteGG #analysis #approach #linear #performance

An Efficient Approach to Sparse Linear Discriminant Analysis (LFSM, YG, GG), p. 168.

ICML-2012-ParrishG #reduction

Dimensionality Reduction by Local Discriminative Gaussians (NP, MRG), p. 30.

ICML-2012-ShiS #adaptation #clustering #learning

Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation (YS, FS), p. 166.

ICPR-2012-BallanBBSSZ #category theory #generative #image #modelling #social

Combining generative and discriminative models for classifying social images from 101 object categories (LB, MB, ADB, AMS, GS, BFZ), pp. 1731–1734.

ICPR-2012-ChenYY #analysis #null #recognition #scalability

Large margin null space discriminant analysis with applications to face recognition (XC, JY, WY), pp. 1679–1682.

ICPR-2012-DuH #adaptation #approach #linear

A discriminative linear regression approach to OCR adaptation (JD, QH), pp. 629–632.

ICPR-2012-GuiST #analysis #estimation #parametricity

Regularization parameter estimation for spectral regression discriminant analysis based on perturbation theory (JG, ZS, TT), pp. 401–404.

ICPR-2012-GuSLF #metric

Discriminative metric: Schatten norm vs. vector norm (ZG, MS, LL, YF), pp. 1213–1216.

ICPR-2012-KemmlerD

Finding discriminative features for Raman spectroscopy (MK, JD), pp. 1823–1826.

ICPR-2012-KhanT #learning #taxonomy

Stable discriminative dictionary learning via discriminative deviation (NK, MFT), pp. 3224–3227.

ICPR-2012-LeiLL #analysis #feature model #linear #performance #recognition

Efficient feature selection for linear discriminant analysis and its application to face recognition (ZL, SL, SZL), pp. 1136–1139.

ICPR-2012-LiuF #analysis #kernel #multi

Multiple kernel discriminant analysis (XZL, GCF), pp. 1691–1694.

ICPR-2012-LiuKWJ #recognition

Action recognition with discriminative mid-level features (CL, YK, XW, YJ), pp. 3366–3369.

ICPR-2012-LiuSW #learning #recognition #taxonomy

Facial expression recognition based on discriminative dictionary learning (WL, CS, YW), pp. 1839–1842.

ICPR-2012-LiuW12a #feature model #kernel

Unsupervised discriminative feature selection in a kernel space via L2, 1-norm minimization (YL, YW), pp. 1205–1208.

ICPR-2012-LuHLC #recognition #using

Insect species recognition using discriminative local soft coding (AL, XH, CLL, XC), pp. 1221–1224.

ICPR-2012-PohKA #approach #authentication #parametricity

A discriminative parametric approach to video-based score-level fusion for biometric authentication (NP, JK, FMA), pp. 2335–2338.

ICPR-2012-WangJ12b #learning #network #process #recognition

Learning dynamic Bayesian network discriminatively for human activity recognition (XW, QJ), pp. 3553–3556.

ICPR-2012-WangX #generative #image #recognition

Discriminative and generative vocabulary tree for vein image recognition (JW, JX), pp. 3513–3516.

ICPR-2012-XueCH #classification #constraints #kernel

Discriminative indefinite kernel classifier from pairwise constraints and unlabeled data (HX, SC, JH), pp. 497–500.

ICPR-2012-Zhu0N #normalisation #recognition

Discriminative normalization method for handwritten Chinese character recognition (YZ, JS, SN), pp. 274–277.

KDD-2012-HaiderCB #clustering #segmentation

Discriminative clustering for market segmentation (PH, LC, UB), pp. 417–425.

KDD-2012-LiWDWC #profiling #social #towards

Towards social user profiling: unified and discriminative influence model for inferring home locations (RL, SW, HD, RW, KCCC), pp. 1023–1031.

KDD-2012-ZhangL #component #constraints #mining #rank #recognition

Mining discriminative components with low-rank and sparsity constraints for face recognition (QZ, BL), pp. 1469–1477.

MLDM-2012-PitelisT #learning

Discriminant Subspace Learning Based on Support Vectors Machines (NP, AT), pp. 198–212.

SIGIR-2012-LiDZ #markov #query

A generalized hidden Markov model with discriminative training for query spelling correction (YL, HD, CZ), pp. 611–620.

SAC-2012-PedreschiRT #case study #metric

A study of top-k measures for discrimination discovery (DP, SR, FT), pp. 126–131.

ICDAR-2011-ChengZN #online #retrieval

A Discriminative Model for On-line Handwritten Japanese Text Retrieval (CC, BZ, MN), pp. 1285–1288.

ICDAR-2011-CoustatyO #documentation #image #using

Discrimination of Old Document Images Using Their Style (MC, JMO), pp. 389–393.

ICDAR-2011-GimenezAJS #modelling #recognition

Discriminative Bernoulli Mixture Models for Handwritten Digit Recognition (AG, JAF, AJ, NS), pp. 558–562.

ICDAR-2011-LinsSS #automation

Automatically Discriminating between Digital and Scanned Photographs (RDL, GdFPeS, SJS), pp. 1280–1284.

ICDAR-2011-LundWR #fault #multi

Progressive Alignment and Discriminative Error Correction for Multiple OCR Engines (WBL, DDW, EKR), pp. 764–768.

ICDAR-2011-PinsonB #component #using

Connected Component Level Discrimination of Handwritten and Machine-Printed Text Using Eigenfaces (SJP, WAB), pp. 1394–1398.

ICDAR-2011-ShaoWXZZ #distance

Modified Two-Class LDA Based Compound Distance for Similar Handwritten Chinese Characters Discrimination (YS, CW, BX, RZ, LZ), pp. 653–657.

ICDAR-2011-ShaoWXZZ11a #learning #multi

Multiple Instance Learning Based Method for Similar Handwritten Chinese Characters Discrimination (YS, CW, BX, RZ, YZ), pp. 1002–1006.

ICDAR-2011-SuLZ #learning #polynomial

Perceptron Learning of Modified Quadratic Discriminant Function (THS, CLL, XYZ), pp. 1007–1011.

ICDAR-2011-TaoLJG #learning #locality #recognition #using

Similar Handwritten Chinese Character Recognition Using Discriminative Locality Alignment Manifold Learning (DT, LL, LJ, YG), pp. 1012–1016.

ICDAR-2011-WangDL #learning #recognition

MQDF Discriminative Learning Based Offline Handwritten Chinese Character Recognition (YW, XD, CL), pp. 1100–1104.

HIMI-v1-2011-OhoriSNI #analysis

Construction of a Model for Discriminating between Electroencephalographic Patterns at the Time of Incorrect Inputs Based on Sensitivity Spectrum Analysis (RO, DS, YN, SI), pp. 618–626.

CIKM-2011-TariqK #feature model #performance

Fast supervised feature extraction by term discrimination information pooling (AT, AK), pp. 2233–2236.

ICML-2011-Maaten #kernel #learning

Learning Discriminative Fisher Kernels (LvdM), pp. 217–224.

KDD-2011-ThanhRT #implementation #testing

k-NN as an implementation of situation testing for discrimination discovery and prevention (BLT, SR, FT), pp. 502–510.

KDIR-2011-SorgC #modelling #retrieval

Finding the Right Expert — Discriminative Models for Expert Retrieval (PS, PC), pp. 190–199.

SIGIR-2011-CetintasRSF #identification #modelling #network #people #probability #social

Identifying similar people in professional social networks with discriminative probabilistic models (SC, MR, LS, YF), pp. 1209–1210.

SIGIR-2011-KimKWHK #approach #classification #mining

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

SIGIR-2011-LiomaKS #physics #retrieval

Sense discrimination for physics retrieval (CL, AK, HS), pp. 1101–1102.

SIGMOD-2010-RuggieriPT #database #named

DCUBE: discrimination discovery in databases (SR, DP, FT), pp. 1127–1130.

PEPM-2010-Henglein #algebra #equivalence #lazy evaluation #optimisation #relational #using

Optimizing relational algebra operations using generic equivalence discriminators and lazy products (FH), pp. 73–82.

CHI-2010-LiMW

A model of symbol size discrimination in scatterplots (JL, JBM, JJvW), pp. 2553–2562.

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-ZhangZ #modelling #personalisation #recommendation

Discriminative factored prior models for personalized content-based recommendation (LZ, YZ), pp. 1569–1572.

ICML-2010-DruckM #generative #learning #modelling #using

High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models (GD, AM), pp. 319–326.

ICML-2010-FelzenszwalbGMR #detection #modelling

Discriminative Latent Variable Models for Object Detection (PFF, RBG, DAM, DR), pp. 11–12.

ICPR-2010-ArvanitopoulosBT #fault #linear #subclass #using

Subclass Error Correcting Output Codes Using Fisher’s Linear Discriminant Ratio (NA, DB, AT), pp. 2953–2956.

ICPR-2010-FangGC #estimation

Discriminant Feature Manifold for Facial Aging Estimation (HF, PWG, MC), pp. 593–596.

ICPR-2010-FanHM #classification #learning #metric

Learning Metrics for Shape Classification and Discrimination (YF, DH, WM), pp. 2652–2655.

ICPR-2010-FengY #analysis

Binary Discriminant Analysis for Face Template Protection (YCF, PCY), pp. 874–877.

ICPR-2010-HanFD #learning #prototype #recognition #set

Discriminative Prototype Learning in Open Set Face Recognition (ZH, CF, XD), pp. 2696–2699.

ICPR-2010-HeLS #automation #recognition #verification

Automatic Discrimination between Confusing Classes with Writing Styles Verification in Arabic Handwritten Numeral Recognition (CLH, LL, CYS), pp. 2045–2048.

ICPR-2010-JammalamadakaJKM #matrix #using

Discriminative Basis Selection Using Non-negative Matrix Factorization (AJ, SJ, SK, BSM), pp. 1533–1536.

ICPR-2010-JingLYBY #analysis #kernel

Kernel Uncorrelated Adjacent-class Discriminant Analysis (XYJ, SL, YFY, LSB, JY), pp. 706–709.

ICPR-2010-KhushabaEAAM #analysis #fuzzy #locality #orthogonal

Orthogonal Locality Sensitive Fuzzy Discriminant Analysis in Sleep-Stage Scoring (RNK, RE, AA, AAA, SM), pp. 165–168.

ICPR-2010-KotropoulosAP #classification #music

Ensemble Discriminant Sparse Projections Applied to Music Genre Classification (CK, GRA, YP), pp. 822–825.

ICPR-2010-KristanL #estimation #kernel #online

Online Discriminative Kernel Density Estimation (MK, AL), pp. 581–584.

ICPR-2010-LaiJYW #feature model

Sparse Local Discriminant Projections for Feature Extraction (ZL, ZJ, JY, WKW), pp. 926–929.

ICPR-2010-LeeWC #classification #linear #multi

A Discriminative and Heteroscedastic Linear Feature Transformation for Multiclass Classification (HSL, HMW, BC), pp. 690–693.

ICPR-2010-LiZGHLZ #set

Discriminative Level Set for Contour Tracking (WL, XZ, JG, WH, HL, XZ), pp. 1735–1738.

ICPR-2010-MakiharaY #analysis #clustering

Cluster-Pairwise Discriminant Analysis (YM, YY), pp. 577–580.

ICPR-2010-RahimBBP #analysis #sequence

Pelvic Organs Dynamic Feature Analysis for MRI Sequence Discrimination (MR, MEB, RB, NP), pp. 2496–2499.

ICPR-2010-SafayaniS #analysis #multi #recognition

Heteroscedastic Multilinear Discriminant Analysis for Face Recognition (MS, MTMS), pp. 4287–4290.

ICPR-2010-ScandaliarisS #invariant

Discriminant and Invariant Color Model for Tracking under Abrupt Illumination Changes (JS, AS), pp. 1840–1843.

ICPR-2010-ShenYS #learning

Learning Discriminative Features Based on Distribution (JS, WY, CS), pp. 1401–1404.

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-SongLLJ #detection #representation

A Discriminative Model for Object Representation and Detection via Sparse Features (XS, PL, LL, YJ), pp. 3077–3080.

ICPR-2010-UegakiNB

Discriminating Intended Human Objects in Consumer Videos (HU, YN, NB), pp. 4380–4383.

ICPR-2010-VuralBLCEM

Discrimination of Moderate and Acute Drowsiness Based on Spontaneous Facial Expressions (EV, MSB, GL, MÇ, AE, JRM), pp. 3874–3877.

ICPR-2010-WangHL #analysis #incremental

Boosting Incremental Semi-supervised Discriminant Analysis for Tracking (HW, XH, CLL), pp. 2748–2751.

ICPR-2010-XingAL #detection #learning #multi

Multiple Human Tracking Based on Multi-view Upper-Body Detection and Discriminative Learning (JX, HA, SL), pp. 1698–1701.

ICPR-2010-YangC #classification #representation

Sparse Representation Classifier Steered Discriminative Projection (JY, DC), pp. 694–697.

ICPR-2010-YangGG #analysis #locality #recognition

Extended Locality Preserving Discriminant Analysis for Face Recognition (LY, WG, XG), pp. 539–542.

ICPR-2010-YangSZ #analysis #multi #recognition #using

Face Recognition Using a Multi-manifold Discriminant Analysis Method (WY, CS, LZ), pp. 527–530.

ICPR-2010-ZhangGA #analysis #linear

An Information Theoretic Linear Discriminant Analysis Method (HZ, CG, KKA), pp. 4182–4185.

KDD-2010-DurrantK #analysis #classification #linear

Compressed fisher linear discriminant analysis: classification of randomly projected data (RJD, AK), pp. 1119–1128.

KDD-2010-GaoW #mining #nondeterminism

Direct mining of discriminative patterns for classifying uncertain data (CG, JW), pp. 861–870.

KDD-2010-HuhF #learning #modelling #topic

Discriminative topic modeling based on manifold learning (SH, SEF), pp. 653–662.

KDD-2010-Lee #classification #learning

Learning to combine discriminative classifiers: confidence based (CHL), pp. 743–752.

SIGIR-2010-FangSM #documentation #modelling

Discriminative models of integrating document evidence and document-candidate associations for expert search (YF, LS, APM), pp. 683–690.

SAC-2010-ChakrabartiCGM #analysis #linear #privacy

Privacy preserving linear discriminant analysis from perturbed data (SC, ZC, AG, SM), pp. 610–615.

SAC-2010-HanFD #classification #correlation #recognition

A discriminated correlation classifier for face recognition (ZH, CF, XD), pp. 1485–1490.

SAC-2010-TeixeiraFP #approach #distributed

Distributed discrimination of media moments and media intervals: a Watch-and-Comment approach (CACT, GBF, MdGCP), pp. 1929–1935.

ICSE-2010-SunLWJK #approach #debugging #retrieval

A discriminative model approach for accurate duplicate bug report retrieval (CS, DL, XW, JJ, SCK), pp. 45–54.

IJCAR-2010-BensaidCP #graph #integer

Perfect Discrimination Graphs: Indexing Terms with Integer Exponents (HB, RC, NP), pp. 369–383.

ICDAR-2009-ChenLJ #estimation #modelling #orthogonal #recognition

Unsupervised Selection and Discriminative Estimation of Orthogonal Gaussian Mixture Models for Handwritten Digit Recognition (XC, XL, YJ), pp. 1151–1155.

ICDAR-2009-DreuwHN #adaptation #recognition

Confidence-Based Discriminative Training for Model Adaptation in Offline Arabic Handwriting Recognition (PD, GH, HN), pp. 596–600.

ICDAR-2009-HeLS #analysis #linear #metric #novel #recognition

A Novel Rejection Measurement in Handwritten Numeral Recognition Based on Linear Discriminant Analysis (CLH, LL, CYS), pp. 451–455.

ICDAR-2009-HuangDJG #adaptation #analysis #incremental #linear #online #recognition #using

Writer Adaptive Online Handwriting Recognition Using Incremental Linear Discriminant Analysis (ZH, KD, LJ, XG), pp. 91–95.

ICDAR-2009-LeungL #generative #recognition

Recognition of Handwritten Chinese Characters by Combining Regularization, Fisher’s Discriminant and Distorted Sample Generation (KCL, CHL), pp. 1026–1030.

CHI-2009-OliveiraAR #metric #web

Discriminating the relevance of web search results with measures of pupil size (FTPO, AA, DMR), pp. 2209–2212.

CIKM-2009-WangZLG #comparative #documentation #summary

Comparative document summarization via discriminative sentence selection (DW, SZ, TL, YG), pp. 1963–1966.

CIKM-2009-YuLC #approach #information management #probability

An integrated discriminative probabilistic approach to information extraction (XY, WL, BC), pp. 325–334.

ICML-2009-SzlamS

Discriminative k-metrics (AS, GS), pp. 1009–1016.

KDD-2009-ChenLTW #adaptation #concept #mining

Extracting discriminative concepts for domain adaptation in text mining (BC, WL, IWT, TLW), pp. 179–188.

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-YangJCZ #approach #community #detection

Combining link and content for community detection: a discriminative approach (TY, RJ, YC, SZ), pp. 927–936.

KDIR-2009-Fang #development #gender

Development and Application of a Roach Gene Regulation Profile based Gender Discrimination Method (YF), pp. 263–269.

KDIR-2009-SzekelyBM #clustering

Unsupervised Discriminant Embedding in Cluster Spaces (ES, EB, SMM), pp. 70–76.

CGO-2009-MaoS #evolution #learning #predict #virtual machine

Cross-Input Learning and Discriminative Prediction in Evolvable Virtual Machines (FM, XS), pp. 92–101.

ICLP-2009-ChristiansenG

Non-discriminating Arguments and Their Uses (HC, JPG), pp. 55–69.

ISSTA-2009-ChengLZWY #debugging #graph #identification #mining #using

Identifying bug signatures using discriminative graph mining (HC, DL, YZ, XW, XY), pp. 141–152.

CASE-2008-WangSF #automation #detection #difference #equation

Partial differential equation-based GPR signature discrimination for automatic detection of bridge deck delamination (ZWW, GGS, TF), pp. 431–435.

STOC-2008-BalcanBV #clustering #framework #similarity

A discriminative framework for clustering via similarity functions (MFB, AB, SV), pp. 671–680.

ICFP-2008-Henglein #linear #sorting

Generic discrimination: sorting and paritioning unshared data in linear time (FH), pp. 91–102.

ICML-2008-HamL #analysis #learning

Grassmann discriminant analysis: a unifying view on subspace-based learning (JH, DDL), pp. 376–383.

ICML-2008-HuynhM #learning #logic #markov #network #parametricity

Discriminative structure and parameter learning for Markov logic networks (TNH, RJM), pp. 416–423.

ICML-2008-LarochelleB #classification #strict #using

Classification using discriminative restricted Boltzmann machines (HL, YB), pp. 536–543.

ICML-2008-LiangJ #analysis #generative #pseudo

An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators (PL, MIJ), pp. 584–591.

ICML-2008-SokolovskaCY #learning #modelling #probability

The asymptotics of semi-supervised learning in discriminative probabilistic models (NS, OC, FY), pp. 984–991.

ICML-2008-SuZLM #learning #network #parametricity

Discriminative parameter learning for Bayesian networks (JS, HZ, CXL, SM), pp. 1016–1023.

ICPR-2008-AdankonC #classification

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

ICPR-2008-ChoiGCC #analysis #independence #kernel

Kernel oriented discriminant analysis for speaker-independent phoneme spaces (HC, RGO, SC, YC), pp. 1–4.

ICPR-2008-GaoL #classification #polynomial #recognition

Combining quadratic classifier and pair discriminators by pairwise coupling for handwritten Chinese character recognition (TFG, CLL), pp. 1–4.

ICPR-2008-IbrahimG #online #using #verification

On-line signature verification by using most discriminating points (MTI, LG), pp. 1–4.

ICPR-2008-LiZWH #analysis #clustering #multi

Multiclass spectral clustering based on discriminant analysis (XL, ZZ, YW, WH), pp. 1–4.

ICPR-2008-MaL08a #approach #concept #detection #optimisation #performance #semantics

An efficient gradient computation approach to discriminative fusion optimization in semantic concept detection (CM, CHL), pp. 1–4.

ICPR-2008-NohHL #analysis #invariant #recognition

Regularized discriminant analysis for transformation-invariant object recognition (YKN, JH, DDL), pp. 1–5.

ICPR-2008-ParkCDK #analysis #clustering #linear

Linear discriminant analysis for data with subcluster structure (HP, JC, BLD, JK), pp. 1–4.

ICPR-2008-QuQY #learning

Learning a discriminative sparse tri-value transform (ZQ, GQ, PCY), pp. 1–4.

ICPR-2008-WangYY #analysis #fuzzy #recognition

Fuzzy maximum scatter discriminant analysis and its application to face recognition (JW, WY, JY), pp. 1–4.

ICPR-2008-ZengLH #analysis

Analysis on two fishermethods and a synthesized discriminant projection (ZZ, CL, LH), pp. 1–4.

ICPR-2008-ZhangYDG #recognition #using

Handwritten Chinese character recognition using Local Discriminant Projection with Prior Information (HZ, JY, WD, JG), pp. 1–4.

ICPR-2008-ZhiRM #fuzzy #recognition

Fuzzy discriminant projections for facial expression recognition (RZ, QR, ZM), pp. 1–4.

KDD-2008-FanZCGYHYV #mining #modelling

Direct mining of discriminative and essential frequent patterns via model-based search tree (WF, KZ, HC, JG, XY, JH, PSY, OV), pp. 230–238.

KDD-2008-PedreschiRT #data mining #mining

Discrimination-aware data mining (DP, SR, FT), pp. 560–568.

SIGIR-2008-GuoXLC #query #refinement

A unified and discriminative model for query refinement (JG, GX, HL, XC), pp. 379–386.

SIGIR-2008-WangS #modelling #probability #retrieval

Discriminative probabilistic models for passage based retrieval (MW, LS), pp. 419–426.

SAC-2008-CostaCFANF #metric

Pathological voice discrimination based on entropy measurements (SCC, SC, HF, NA, BGAN, JMF), pp. 1424–1425.

SAC-2008-NhatL #classification #visualisation

k-means discriminant maps for data visualization and classification (VDMN, SL), pp. 1187–1191.

SAC-2008-WebberS

Self and non-self discrimination agents (CGW, JLTdS), pp. 1987–1988.

CAV-2008-NiebertPP #model checking

Discriminative Model Checking (PN, DP, AP), pp. 504–516.

ICDAR-2007-KoklaPK #analysis #image

Ink Discrimination Based on Co-occurrence Analysis of Visible and Infrared Images (VK, AP, VK), pp. 1148–1152.

ICDAR-2007-YangJHH #kernel #online #polynomial #recognition

Kernel Modified Quadratic Discriminant Function for Online Handwritten Chinese Characters Recognition (DY, LJ, QH, TH), pp. 38–42.

ICDAR-2007-ZhangLS #fault #online #recognition

Minimum Error Discriminative Training for Radical-Based Online Chinese Handwriting Recognition (YZ, PL, FKS), pp. 53–57.

HCI-IPT-2007-YangP

A Discriminative Color Quantization Depending on the Degree of Focus (HTY, DP), pp. 191–196.

ICML-2007-BickelBS #learning

Discriminative learning for differing training and test distributions (SB, MB, TS), pp. 81–88.

ICML-2007-CazzantiG #analysis #similarity

Local similarity discriminant analysis (LC, MRG), pp. 137–144.

ICML-2007-DingL #adaptation #analysis #clustering #reduction #using

Adaptive dimension reduction using discriminant analysis and K-means clustering (CHQD, TL), pp. 521–528.

ICML-2007-KimP #learning #recursion

A recursive method for discriminative mixture learning (MK, VP), pp. 409–416.

ICML-2007-MaLTK #analysis #correlation #similarity

Discriminant analysis in correlation similarity measure space (YM, SL, ET, MK), pp. 577–584.

ICML-2007-UrtasunD #classification #process

Discriminative Gaussian process latent variable model for classification (RU, TD), pp. 927–934.

ICML-2007-Ye #analysis #linear

Least squares linear discriminant analysis (JY), pp. 1087–1093.

ICML-2007-YeCJ #kernel #learning #parametricity #programming

Discriminant kernel and regularization parameter learning via semidefinite programming (JY, JC, SJ), pp. 1095–1102.

KDD-2007-DruckPMZ #classification #generative #hybrid

Semi-supervised classification with hybrid generative/discriminative methods (GD, CP, AM, XZ), pp. 280–289.

KDD-2007-LiLW #equivalence #mining #statistics

Mining statistically important equivalence classes and delta-discriminative emerging patterns (JL, GL, LW), pp. 430–439.

KDD-2007-YeJC #analysis #kernel #learning #matrix #polynomial #programming

Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming (JY, SJ, JC), pp. 854–863.

SIGIR-2007-HuDGX #classification #documentation #locality

Locality discriminating indexing for document classification (JH, WD, JG, WX), pp. 689–690.

SAC-2007-QiT #array #feature model #ontology

Integrating gene ontology into discriminative powers of genes for feature selection in microarray data (JQ, JT), pp. 430–434.

ICALP-v2-2006-BouyerHR #automaton #petri net #power of #sequence

Timed Petri Nets and Timed Automata: On the Discriminating Power of Zeno Sequences (PB, SH, PAR), pp. 420–431.

CHI-2006-LuffHKYY #documentation #hybrid

Handling documents and discriminating objects in hybrid spaces (PL, CH, HK, KY, JY), pp. 561–570.

AdaEurope-2006-MirandaS #c++ #interface

Abstract Interface Types in GNAT: Conversions, Discriminants, and C++ (JM, ES), pp. 179–190.

CIKM-2006-YeXLJBCK #analysis #linear #performance

Efficient model selection for regularized linear discriminant analysis (JY, TX, QL, RJ, JB, VC, CK), pp. 532–539.

ECIR-2006-WangR #documentation #retrieval

Context-Specific Frequencies and Discriminativeness for the Retrieval of Structured Documents (JW, TR), pp. 579–582.

ICML-2006-KimMB #analysis #kernel

Optimal kernel selection in Kernel Fisher discriminant analysis (SJK, AM, SPB), pp. 465–472.

ICML-2006-RossOZ

Combining discriminative features to infer complex trajectories (DAR, SO, RSZ), pp. 761–768.

ICML-2006-Sugiyama #analysis #reduction

Local Fisher discriminant analysis for supervised dimensionality reduction (MS), pp. 905–912.

ICML-2006-TorreK #analysis #clustering

Discriminative cluster analysis (FDlT, TK), pp. 241–248.

ICML-2006-XuWSS #learning #predict

Discriminative unsupervised learning of structured predictors (LX, DFW, FS, DS), pp. 1057–1064.

ICML-2006-YeX #analysis #linear #null #orthogonal

Null space versus orthogonal linear discriminant analysis (JY, TX), pp. 1073–1080.

ICPR-v1-2006-GaoWFZ #recognition #using

Face Recognition Using Most Discriminative Local and Global Features (YG, YW, XF, XZ), pp. 351–354.

ICPR-v1-2006-LiuD #analysis #linear #performance #recognition

Improve Handwritten Character Recognition Performance by Heteroscedastic Linear Discriminant Analysis (HL, XD), pp. 880–883.

ICPR-v1-2006-WangKY #2d #analysis #linear #recognition

Bilateral Two Dimensional Linear Discriminant Analysis for Stereo Face Recognition (JGW, HK, WYY), pp. 429–432.

ICPR-v1-2006-YangZJY #analysis #feature model

Unsupervised Discriminant Projection Analysis for Feature Extraction (JY, DZ, ZJ, JYY), pp. 904–907.

ICPR-v2-2006-AndelicSKK #hybrid #kernel #modelling #speech #using

A Hybrid HMM-Based Speech Recognizer Using Kernel-Based Discriminants as Acoustic Models (EA, MS, MK, SEK), pp. 1158–1161.

ICPR-v2-2006-AnR #linear #novel #recognition

Novel Mathematical Model for Enhanced Fisher’s Linear Discriminant and Its Application to Face Recognition (GA, QR), pp. 524–527.

ICPR-v2-2006-AutioL #learning #online #sequence

Online Learning of Discriminative Patterns from Unlimited Sequences of Candidates (IA, JTL), pp. 437–440.

ICPR-v2-2006-DelannayAV #adaptation #automation #nearest neighbour

Automatic Adjustment of Discriminant Adaptive Nearest Neighbor (ND, CA, MV), pp. 552–535.

ICPR-v2-2006-GarainCM #approach

Improvement of OCR Accuracy by Similar Character Pair Discrimination: an Approach based on Artificial Immune System (UG, MPC, DDM), pp. 1046–1049.

ICPR-v2-2006-InoueNK #analysis #feature model #kernel #recognition #string #using

Historical Hand-Written String Recognition by Non-linear Discriminant Analysis using Kernel Feature Selection (RI, HN, NK), pp. 1094–1097.

ICPR-v2-2006-InoueU #2d #analysis #linear

Non-Iterative Two-Dimensional Linear Discriminant Analysis (KI, KU), pp. 540–543.

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-KoideY #kernel #symmetry

Asymmetric kernel method and its application to Fisher’s discriminant (NK, YY), pp. 820–824.

ICPR-v2-2006-Liang #analysis #image

High-dimensional discriminant analysis and its application to color face images (ZL), pp. 917–920.

ICPR-v2-2006-LimCG #identification #using

Scene Identification using Discriminative Patterns (JHL, JPC, SG), pp. 642–645.

ICPR-v2-2006-Liu #classification #feature model #polynomial #recognition #using

High Accuracy Handwritten Chinese Character Recognition Using Quadratic Classifiers with Discriminative Feature Extraction (CLL), pp. 942–945.

ICPR-v2-2006-Loog #analysis #linear

Conditional Linear Discriminant Analysis (ML), pp. 387–390.

ICPR-v2-2006-PriorW #fault #parametricity #probability #random #using

Parameter Tuning using the Out-of-Bootstrap Generalisation Error Estimate for Stochastic Discrimination and Random Forests (MP, TW), pp. 498–501.

ICPR-v2-2006-TangT #analysis #linear #performance #using

Fast Linear Discriminant Analysis Using Binary Bases (FT, HT), pp. 52–55.

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-XuWH #algorithm #learning

A maximum margin discriminative learning algorithm for temporal signals (WX, JW, ZH), pp. 460–463.

ICPR-v2-2006-YouZDW #recognition

Neighborhood Discriminant Projection for Face Recognition (QY, NZ, SD, YW), pp. 532–535.

ICPR-v2-2006-ZhengT #algorithm #robust

A Robust Algorithm for Generalized Orthonormal Discriminant Vectors (WZ, XT), pp. 784–787.

ICPR-v3-2006-BauckhageK06a #classification #multi

Benefits of Separable, Multilinear Discriminant Classification (CB, TK), pp. 1240–1243.

ICPR-v3-2006-ChangCH #visual notation

Discriminative Descriptor-Based Observation Model for Visual Tracking (WYC, CSC, YPH), pp. 83–86.

ICPR-v3-2006-LiuZ

Minimum Enclosing and Maximum Excluding Machine for Pattern Description and Discrimination (YL, YFZ), pp. 129–132.

ICPR-v3-2006-LiZSCG #analysis #kernel #performance #recognition

Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition (YL, BZ, SS, XC, WG), pp. 523–526.

ICPR-v3-2006-LoogR #analysis

Local Discriminant Analysis (ML, DdR), pp. 328–331.

ICPR-v3-2006-QinSL #analysis #feature model #performance

Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff Discriminant Analysis (AKQ, PNS, ML), pp. 125–128.

ICPR-v3-2006-WangG #analysis #recognition

Tensor Discriminant Analysis for View-based Object Recognition (YW, SG), pp. 33–36.

ICPR-v3-2006-YangB #detection #generative

A Combination of Generative and Discriminative Approaches to Object Detection (JY, HB), pp. 249–253.

ICPR-v3-2006-YuHSLPGF #classification

Shape-based Discrimination and Classification of Cortical Surfaces (PY, XH, FS, AKL, RAP, PG, BF), pp. 445–448.

ICPR-v4-2006-BauckhageK06b #classification #multi

Benefits of Separable, Multilinear Discriminant Classification (CB, TK), p. 959.

ICPR-v4-2006-ChaoTWC #framework #kernel #problem #testing #verification

A Kernel-based Discrimination Framework for Solving Hypothesis Testing Problems with Application to Speaker Verification (YHC, WHT, HMW, RCC), pp. 229–232.

ICPR-v4-2006-HuangCC #image

Contrast Context Histogram — A Discriminating Local Descriptor for Image Matching (CRH, CSC, PCC), pp. 53–56.

ICPR-v4-2006-WangR #analysis #kernel #recognition

Kernel Fisher Discriminant Analysis for Palmprint Recognition (YW, QR), pp. 457–460.

ICPR-v4-2006-YuT #adaptation #image #retrieval

Adaptive Discriminant Projection for Content-based Image Retrieval (JY, QT), pp. 165–168.

KDD-2006-YeW #analysis

Regularized discriminant analysis for high dimensional, low sample size data (JY, TW), pp. 454–463.

ICDAR-2005-AlahariPJ #online #recognition

Discriminant Substrokes for Online Handwriting Recognition (KA, SLP, CVJ), pp. 499–505.

ICDAR-2005-CaillaultVA

MS-TDNN with Global Discriminant Trainings (ÉC, CVG, ARA), pp. 856–861.

ICDAR-2005-LiuD #classification #multi #polynomial #recognition #using

Handwritten Character Recognition Using Gradient Feature and Quadratic Classifier with Multiple Discrimination Schemes (HL, XD), pp. 19–25.

ICDAR-2005-LiuMK #classification #feature model #recognition #scalability #set #using

Building Compact Classifier for Large Character Set Recognition Using Discriminative Feature Extraction (CLL, RM, MK), pp. 846–850.

ICDAR-2005-MitomaUS #online #polynomial #recognition

Online Character Recognition Based on Elastic Matching and Quadratic Discrimination (HM, SU, HS), pp. 36–40.

ICDAR-2005-RussellHBHM #using #verification

Dynamic Signature Verification Using Discriminative Training (GFR, JH, AB, AH, DM), pp. 1260–1264.

ICML-2005-BurgeL #learning #network

Learning class-discriminative dynamic Bayesian networks (JB, TL), pp. 97–104.

ICML-2005-JingPR #classification #learning #naive bayes #network #performance

Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes (YJ, VP, JMR), pp. 369–376.

ICML-2005-PernkopfB #classification #generative #learning #network #parametricity

Discriminative versus generative parameter and structure learning of Bayesian network classifiers (FP, JAB), pp. 657–664.

ICML-2005-TorreK #analysis #multimodal

Multimodal oriented discriminant analysis (FDlT, TK), pp. 177–184.

KDD-2005-PhanNHH #learning

Improving discriminative sequential learning with rare--but--important associations (XHP, MLN, TBH, SH), pp. 304–313.

SIGIR-2005-GaoQXN #information retrieval #linear

Linear discriminant model for information retrieval (JG, HQ, XX, JYN), pp. 290–297.

SIGIR-2005-ViolaN #context-free grammar #learning #using

Learning to extract information from semi-structured text using a discriminative context free grammar (PAV, MN), pp. 330–337.

CIKM-2004-MaguitmanLRM #automation #topic #towards

Dynamic extraction topic descriptors and discriminators: towards automatic context-based topic search (AGM, DBL, TR, FM), pp. 463–472.

ICML-2004-FungDBR #algorithm #kernel #performance #using

A fast iterative algorithm for fisher discriminant using heterogeneous kernels (GF, MD, JB, RBR).

ICML-2004-KashimaT #algorithm #graph #kernel #learning #sequence

Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs (HK, YT).

ICML-2004-YeJLP #analysis #feature model #linear

Feature extraction via generalized uncorrelated linear discriminant analysis (JY, RJ, QL, HP).

ICPR-v1-2004-CevikalpW #recognition #using

Face Recognition by Using Discriminative Common Vectors (HC, DMW), pp. 326–329.

ICPR-v1-2004-Herbin #multi #process #robust

Robust Multihypothesis Discrimination of Controlled I.I.D. Processes (SH), pp. 200–203.

ICPR-v1-2004-KavallieratouS #using

Discrimination of Machine-Printed from Handwritten Text Using Simple Structural Characteristics (EK, ES), pp. 437–440.

ICPR-v1-2004-KeysersN #analysis #linear #modelling

Linear Discriminant Analysis and Discriminative Log-linear Modeling (DK, HN), pp. 156–159.

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-ShenB #analysis #kernel #recognition

Gabor Wavelets and Kernel Direct Discriminant Analysis for Face Recognition (LS, LB), pp. 284–287.

ICPR-v1-2004-ZhaoD

Iterative Figure-Ground Discrimination (LZ, LSD), pp. 67–70.

ICPR-v2-2004-BeierholmB #music #speech #using

Speech Music Discrimination Using Class-Specific Features (TB, PMB), pp. 379–382.

ICPR-v2-2004-DaiQJ #analysis #kernel #pattern matching #pattern recognition #recognition

A Kernel Fractional-Step Nonlinear Discriminant Analysis for Pattern Recognition (GD, YQ, SJ), pp. 431–434.

ICPR-v2-2004-DongB #database #image #modelling

Discriminant Features for Model-Based Image Databases (AD, BB), pp. 997–1000.

ICPR-v2-2004-LinYL #analysis #incremental #using

Object Tracking Using Incremental Fisher Discriminant Analysis (RSL, MHY, SEL), pp. 757–760.

ICPR-v2-2004-LiuTLM #analysis #kernel #recognition

Kernel Scatter-Difference Based Discriminant Analysis For Face Recognition (QL, XT, HL, SM), pp. 419–422.

ICPR-v2-2004-SaadiTC #analysis #kernel

Optimally Regularised Kernel Fisher Discriminant Analysis (KS, NLCT, GCC), pp. 427–430.

ICPR-v2-2004-ShihL #analysis #detection #using #video

Face Detection Using Discriminating Feature Analysis and Support Vector Machine in Video (PS, CL), pp. 407–410.

ICPR-v2-2004-SunHT #recognition

Active Discriminant Functions for Handwriting Recognition (GS, JH, XT), pp. 602–605.

ICPR-v2-2004-TaoT #analysis #feedback #image #parametricity #retrieval

Nonparametric Discriminant Analysis in Relevance Feedback for Content-Based Image Retrieval (DT, XT), pp. 1013–1016.

ICPR-v3-2004-ChenC #distance #image #metric

Discriminative Distance Measures for Image Matching (XC, TJC), pp. 691–695.

ICPR-v3-2004-DavidL #search-based #using

Signal Discrimination Using a Support Vector Machine for Genetic Syndrome Diagnosis (AD, BL), pp. 490–493.

ICPR-v3-2004-LaporteBA #approach #estimation #performance #recognition

A Fast Discriminant Approach to Active Object Recognition and Pose Estimation (CL, RB, TA), pp. 91–94.

ICPR-v4-2004-WuCW04a #learning #recognition

Face Recognition Based on Discriminative Manifold Learning (YW, KLC, LW), pp. 171–174.

ICPR-v4-2004-ZhouC #analysis #multi #recognition

Multiple-Exemplar Discriminant Analysis for Face Recognition (SKZ, RC), pp. 191–194.

SIGIR-2004-Nallapati #information retrieval #modelling

Discriminative models for information retrieval (RN), pp. 64–71.

DRR-2003-LiuDF

AdaBoost-based handwritten/printed discrimination on a single character (HL, XD, CF), pp. 39–46.

ICDAR-2003-NopsuwanchaiP #recognition

Discriminative Training for HMM-Based Offline Handwritten Character Recognition (RN, DP), pp. 114–118.

ICDAR-2003-PrevostMMOM #classification #modelling #recognition

Combining model-based and discriminative classifiers : application to handwritten character recognition (LP, CMS, AM, LO, MM), p. 31–?.

ICFP-2003-NeubauerT #fault

Discriminative sum types locate the source of type errors (MN, PT), pp. 15–26.

CIKM-2003-LiZO #analysis #categorisation #multi #performance

Efficient multi-way text categorization via generalized discriminant analysis (TL, SZ, MO), pp. 317–324.

ICML-2003-KaskiP #analysis

Informative Discriminant Analysis (SK, JP), pp. 329–336.

ICML-2003-KlautauJO #classification #comparison #kernel #modelling

Discriminative Gaussian Mixture Models: A Comparison with Kernel Classifiers (AK, NJ, AO), pp. 353–360.

ICML-2003-Zhang #kernel #learning #metric #multi #representation #scalability #towards

Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation (ZZ), pp. 872–879.

KDD-2003-ArgamonSS #mining #multi

Style mining of electronic messages for multiple authorship discrimination: first results (SA, MS, SSS), pp. 475–480.

SIGIR-2003-LiZO #generative #linear #topic

Topic hierarchy generation via linear discriminant projection (TL, SZ, MO), pp. 421–422.

VLDB-2002-ChakrabartiRS #classification #linear #multi #performance

Fast and Accurate Text Classification via Multiple Linear Discriminant Projections (SC, SR, MVS), pp. 658–669.

ICML-2002-MeyerB #scalability #speech #towards

Towards “Large Margin” Speech Recognizers by Boosting and Discriminative Training (CM, PB), pp. 419–426.

ICML-2002-SlonimBFT #feature model #markov #memory management #multi

Discriminative Feature Selection via Multiclass Variable Memory Markov Model (NS, GB, SF, NT), pp. 578–585.

ICPR-v1-2002-HiranoHTOE #3d #image #quantifier #using

Quantification of Shrinkage of Lung Lobe from Chest CT Images Using the 3D Extended Voronoi Division and its Application to the Benign/Malignant Discrimination of Tumor Shadows (YH, JiH, JiT, HO, KE), pp. 751–754.

ICPR-v1-2002-MaenpaaPV

Separating Color and Pattern Information for Color Texture Discrimination (TM, MP, JV), pp. 668–671.

ICPR-v1-2002-Torkkola #classification #documentation

Discriminative Features for Document Classification (KT), pp. 472–475.

ICPR-v2-2002-LiuHLM #analysis #kernel #recognition

Kernel-Based Optimized Feature Vectors Selection and Discriminant Analysis for Face Recognition (QL, RH, HL, SM), pp. 362–365.

ICPR-v2-2002-MoghaddamZ #analysis #linear #online #pattern matching #pattern recognition #performance #recognition

Fast Linear Discriminant Analysis for On-Line Pattern Recognition Applications (HAM, KAZ), pp. 64–67.

ICPR-v2-2002-UjiieOA

A Discriminant Function Considering Normality Improvement of the Distribution (HU, SO, HA), pp. 224–227.

ICPR-v3-2002-KatzMDK #analysis #automation #linear #robust #speech

Robustness of Linear Discriminant Analysis in Automatic Speech Recognitio (MK, HGM, HD, DK), pp. 371–374.

ICPR-v3-2002-MullerH #linear

Extending the Linear Interpolating Condition to Advanced Synthetic Discriminant Function Variants (NM, BMH), pp. 883–886.

ICPR-v4-2002-JiY #3d #information retrieval #realtime

Real Time 3D Face Pose Discrimination Based On Active IR Illumination (QJ, XY), pp. 310–313.

ICPR-v4-2002-KubotaMK #fault #learning #optimisation

A Discriminative Learning Criterion for the Overall Optimization of Error and Reject (SK, HM, YK), pp. 98–102.

ICPR-v4-2002-LiuSF #classification #learning #polynomial

Learning Quadratic Discriminant Function for Handwritten Character Classification (CLL, HS, HF), pp. 44–47.

ICPR-v4-2002-ZhuS #adaptation #analysis #detection #feature model #statistics

Discriminant Analysis and Adaptive Wavelet Feature Selection for Statistical Object Detection (YZ, SCS), pp. 86–89.

ICDAR-2001-El-NasanVN #word

Word Discrimination Based on Bigram Co-Occurrences (AEN, SV, GN), pp. 149–153.

ICDAR-2001-GrandidierSGS #markov #modelling #power of

An a priori Indicator of the Discrimination Power of Discrete Hidden Markov Models (FG, RS, MG, CYS), pp. 350–355.

ICDAR-2001-RheeCK #feature model #online #segmentation #using #verification

On-Line Signature Verification Using Model-Guided Segmentation and Discriminative Feature Selection for Skilled Forgeries (THR, SJC, JHK), pp. 645–649.

ICDAR-2001-ShiOWK #clustering #distance #pseudo #recognition

Clustering with Projection Distance and Pseudo Bayes Discriminant Function for Handwritten Numeral Recognition (MS, WO, TW, FK), pp. 1007–1011.

ICDAR-2001-TaoT #using

Discrimination of Oriental and Euramerican Scripts Using Fractal Feature (YT, YYT), pp. 1115–1119.

ICDAR-2001-TayKLKV #recognition #word

An Analytical Handwritten Word Recognition System with Word-level Discriminant Training (YHT, MK, PML, SK, CVG), pp. 726–730.

ICDAR-2001-WengH #classification #image #incremental #online

Incremental Hierarchical Discriminant Regression for Online Image Classification (JW, WSH), pp. 476–480.

ICDAR-2001-ZhangDZ #orthogonal #recognition

Offline Handwritten Character Recognition Based on Discriminative Training of Orthogonal Gaussian Mixture Model (RZ, XD, JZ), pp. 221–225.

CIAA-2001-FarreG #bound #parsing

Bounded-Graph Construction for Noncanonical Discriminating-Reverse Parsers (JF, JFG), pp. 101–114.

ICML-2001-LawrenceS #kernel

Estimating a Kernel Fisher Discriminant in the Presence of Label Noise (NDL, BS), pp. 306–313.

MLDM-2001-WuH #self #towards

Towards Self-Exploring Discriminating Features (YW, TSH), pp. 263–277.

ESOP-2000-Charatonik #logic programming #source code #type checking

Directional Type Checking for Logic Programs: Beyond Discriminative Types (WC), pp. 72–87.

STOC-2000-GurvitsS #algorithm #approximate #polynomial

A deterministic polynomial-time algorithm for approximating mixed discriminant and mixed volume (LG, AS), pp. 48–57.

CIAA-2000-FarreG #parsing

A Basis for Looping Extensions to Discriminating-Reverse Parsing (JF, JFG), pp. 122–134.

ICML-2000-Collins #natural language #parsing #ranking

Discriminative Reranking for Natural Language Parsing (MC), pp. 175–182.

ICML-2000-WesterdijkW #classification #modelling #multi #using

Classification with Multiple Latent Variable Models using Maximum Entropy Discrimination (MW, WW), pp. 1143–1150.

ICML-2000-YildizA #linear

Linear Discriminant Trees (OTY, EA), pp. 1175–1182.

ICPR-v1-2000-GotzeDH #invariant #recognition

Invariant Object Recognition with Discriminant Features Based on Local Fast-Fourier Mellin Transform (NG, SD, GH), pp. 1948–1951.

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-HiraokaHHMMY #algorithm #analysis #learning #linear

Successive Learning of Linear Discriminant Analysis: Sanger-Type Algorithm (KH, KiH, MH, HM, TM, SY), pp. 2664–2667.

ICPR-v2-2000-Kawatani #normalisation #polynomial #recognition

Handwritten Kanji Recognition with Determinant Normalized Quadratic Discriminant Function (TK), pp. 2343–2346.

ICPR-v2-2000-Schulerud #analysis #bias #fault #feature model #linear

Bias of Error Rates in Linear Discriminant Analysis Caused by Feature Selection and Sample Size (HS), pp. 2372–2377.

ICPR-v2-2000-UnsalanE #analysis #linear

Shapes of Features and a Modified Measure for Linear Discriminant Analysis (CÜ, AE), pp. 2410–2413.

ICPR-v2-2000-Zhao00b #analysis #component #recognition

Discriminant Component Analysis for Face Recognition (WYZ), pp. 2818–2821.

ICPR-v3-2000-GrigorescuP #graph

Graph-Based Features for Texture Discrimination (CG, NP), pp. 7088–7091.

ICPR-v3-2000-PetrosinoC #clustering #fuzzy #parallel #set

Unsupervised Texture Discrimination Based on Rough Fuzzy Sets and Parallel Hierarchical Clustering (AP, MC), pp. 7100–7103.

ICPR-v4-2000-PardoR #3d #image #re-engineering

Discriminant Snakes for 3D Reconstruction in Medical Images (XMP, PR), pp. 4336–4339.

SAC-2000-BaldwinMP #analysis #feature model #semantics

Semantic Discrimination Analysis for Feature Selection (JFB, TPM, CP), pp. 519–523.

ICDAR-1999-Baird #documentation #image #quality

Document Image Quality: Making Fine Discriminations (HSB), pp. 459–462.

ICDAR-1999-LiuN #network #recognition #using

Handwritten Numeral Recognition using Neural Networks: Improving the Accuracy by Discriminative Training (CLL, MN), pp. 257–260.

ICDAR-1999-XiLT #novel

A Novel Method for Discriminating between Oriental and European Languages by Fractal Features (DX, SWL, YYT), pp. 345–348.

HCI-CCAD-1999-EllisYAE #latency

Discrimination of changes in latency during head movement (SRE, MJY, BDA, SME), pp. 1129–1133.

HCI-EI-1999-KitakazeAIF #adaptation #evaluation

Study of Adaptive Input System for Telecommunication Terminal — Evaluation of Discriminant which Controls Computer key-input - (SK, YA, TI, SF), pp. 74–78.

ICML-1999-Gama

Discriminant Trees (JG), pp. 134–142.

SAC-1999-OgataIF #optimisation #term rewriting #using

Optimizing Term Rewriting Using Discrimination Nets With Specialization (KO, SI, KF), pp. 511–518.

SAC-1999-Taylor #finite #induction #pattern matching #using

Exon/Intron Discrimination Using the Finite Induction Pattern Matching Technique (PAT), pp. 41–45.

ICPR-1998-ColmenarezH #detection #fault

Pattern detection with information-based maximum discrimination and error bootstrapping (AC, TSH), pp. 222–224.

ICPR-1998-Duin #analysis #problem #relational #scalability

Relational discriminant analysis and its large sample size problem (RPWD), pp. 445–449.

ICPR-1998-HuangSW #using

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

ICPR-1998-LiuW98a #linear #modelling #recognition

Enhanced Fisher linear discriminant models for face recognition (CL, HW), pp. 1368–1372.

ICPR-1998-Mizutani #classification #fault #learning

Discriminative learning for minimum error and minimum reject classification (HM), pp. 136–140.

ICPR-1998-SakaiYH #polynomial #robust

A new robust quadratic discriminant function (MS, MY, HH), pp. 99–102.

ICPR-1998-ZhaoN #analysis #linear #recognition

Linear discriminant analysis of MPF for face recognition (WZ, NN), pp. 185–188.

ICDAR-1997-MartensC97a #online #verification

On-line Signature Verification: Discrimination Emphasised (RM, LJMC), pp. 657–660.

VLDB-1997-ChakrabartiDAR #database #navigation #taxonomy #using

Using Taxonomy, Discriminants, and Signatures for Navigating in Text Databases (SC, BD, RA, PR), pp. 446–455.

HCI-CC-1997-Fukuzumi #using

Discrimination of Living Body Fingers by Using EMG and Finger Pulse Volume (SF), pp. 575–578.

KDD-1997-RubinsteinH #learning

Discriminative vs Informative Learning (YDR, TH), pp. 49–53.

ICSE-1997-PighinZ #analysis #metric #predict #statistics

A Predictive Metric Based on Discriminant Statistical Analysis (MP, RZ), pp. 262–270.

LICS-1997-Dezani-CiancagliniTU #parallel

Discrimination by Parallel Observers (MDC, JT, PU), pp. 396–407.

ICPR-1996-Aladjem #distance #optimisation #recursion

Two-class pattern discrimination via recursive optimization of Patrick-Fisher distance (MEA), pp. 60–64.

ICPR-1996-Garcia-SalicettiDGW #adaptation #online #predict #recognition #word

Adaptive discrimination in an HMM-based neural predictive system for on-line word recognition (SGS, BD, PG, ZW), pp. 515–519.

ICPR-1996-LambertN #invariant #using

Discrimination properties of invariants using the line moments of vectorized contours (GL, JN), pp. 735–739.

ICPR-1996-PietikainenNMO #classification

Accurate color discrimination with classification based on feature distributions (MP, SN, EM, TO), pp. 833–838.

ICPR-1996-Solberg #analysis #classification #flexibility

Texture fusion and classification based on flexible discriminant analysis (AHSS), pp. 596–600.

KDD-1995-HastieT #adaptation #classification #nearest neighbour

Discriminant Adaptive Nearest Neighbor Classification (TH, RT), pp. 142–149.

SAC-1995-ChaabouniC #database #network #object-oriented

Discrimination network for rule condition matching in object-oriented database rule systems (MC, SMC), pp. 51–55.

ICDAR-1993-Kawatani #learning #polynomial #recognition

Handprinted numeral recognition with the learning quadratic discriminant function (TK), pp. 14–17.

ICDAR-1993-OhkuraSSH #on the #using

On discrimination of handwritten similar KANJI characters by subspace method using several features (MO, YS, MS, RH), pp. 589–592.

SAC-1993-Konstam #algorithm #analysis #linear #search-based #using

Linear Discriminant Analysis Using Genetic Algorithms (AHK), pp. 152–156.

ML-1991-KijsirikulNS #learning #logic programming #performance #source code

Efficient Learning of Logic Programs with Non-determinant, Non-discriminating Literals (BK, MN, MS), pp. 417–421.

SIGIR-1989-ChangLL #clustering #data access #multi

Multikey Access Methods Based on Term Discrimination and Signature Clustering (JWC, JHL, YJL), pp. 176–185.

ICSE-1984-Emerson #metric

A Discriminant Metric for Module Cohersion (TJE), pp. 294–303.

SIGIR-1983-Rijsbergen

A Discrimination Gain Hypothesis (CJvR), pp. 101–104.

SIGIR-1979-Dattola #documentation #retrieval

Use of Dynamic Discrimination Values in a Document Retrieval System (RTD), pp. 23–32.

ICALP-1976-LongoZ #formal method

A Theory of Computation with an Identity Discriminator (GL, MVZ), pp. 147–167.