Stem fisher$ (all stems)

41 papers:

ICML-2015-GrosseS #matrix #scalability

Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix (RBG, RS), pp. 2304–2313.

ICML-c1-2014-GopalY #clustering #modelling

Von Mises-Fisher Clustering Models (SG, YY), pp. 154–162.

ICML-c2-2014-TuZWQ #analysis #scalability

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

ICPR-2014-BaecchiTSBB #random #recognition

Fisher Vectors over Random Density Forests for Object Recognition (CB, FT, LS, ADB, ADB), pp. 4328–4333.

ICPR-2014-CastroMC #multi #recognition

Pyramidal Fisher Motion for Multiview Gait Recognition (FMC, MJMJ, RMC), pp. 1692–1697.

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-RozzaMP #graph #kernel #learning #novel

A Novel Graph-Based Fisher Kernel Method for Semi-supervised Learning (AR, MM, AP), pp. 3786–3791.

ICPR-2014-WangSWB #consistency

Label Consistent Fisher Vectors for Supervised Feature Aggregation (QW, XS, MW, KLB), pp. 3588–3593.

ICPR-2014-YangCCW #image

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

ICDAR-2013-FielS #identification #retrieval #using #visual notation

Writer Identification and Writer Retrieval Using the Fisher Vector on Visual Vocabularies (SF, RS), pp. 545–549.

ICALP-v2-2012-ChenDZZ

Incentive Ratios of Fisher Markets (NC, XD, HZ, JZ), pp. 464–475.

ICML-2012-AhnBW #probability

Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring (SA, AKB, MW), p. 230.

ICPR-2012-AtmosukartoGA #kernel #recognition #representation

Trajectory-based Fisher kernel representation for action recognition in videos (IA, BG, NA), pp. 3333–3336.

ICPR-2012-ZhangWXZL #kernel #recognition

Contextual Fisher kernels for human action recognition (ZZ, CW, BX, WZ, SL), pp. 437–440.

ICML-2011-Maaten #kernel #learning

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

STOC-2010-Orlin #algorithm

Improved algorithms for computing fisher’s market clearing prices: computing fisher’s market clearing prices (JBO), pp. 291–300.

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-CeolinH #difference #gender #metric #using

Characterising Facial Gender Difference Using Fisher-Rao Metric (SC, ERH), pp. 4308–4311.

ICPR-2010-KobayashiO #clustering

Von Mises-Fisher Mean Shift for Clustering on a Hypersphere (TK, NO), pp. 2130–2133.

KDD-2010-DurrantK #analysis #classification #linear

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

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.

ICDAR-2009-PerronninR #kernel

Fisher Kernels for Handwritten Word-spotting (FP, JARS), pp. 106–110.

ICALP-v2-2009-Zhang

Proportional Response Dynamics in the Fisher Market (LZ), pp. 583–594.

ICDAR-2007-ChenW #documentation #image #kernel

Exploiting Fisher Kernels in Decoding Severely Noisy Document Images (JC, YW), pp. 417–421.

ICML-2006-KimMB #analysis #kernel

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

ICML-2006-Sugiyama #analysis #reduction

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

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-KoideY #kernel #symmetry

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

ICPR-v2-2006-SuSCG #classification #recognition

Patch-Based Gabor Fisher Classifier for Face Recognition (YS, SS, XC, WG), pp. 528–531.

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-XieQW

Bootstrap Methods for Reject Rules of Fisher LDA (JX, ZQ, JW), pp. 425–428.

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

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

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

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

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

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

ICPR-v2-2004-RidderLR

Local Fisher Embedding (DdR, ML, MJTR), pp. 295–298.

ICPR-v2-2004-SaadiTC #analysis #kernel

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

ICPR-v2-2004-XuanDKHCW #feature model #multi #predict #profiling #robust

Robust Feature Selection by Weighted Fisher Criterion for Multiclass Prediction in Gene Expression Profiling (JX, YD, JIK, EPH, RC, YJW), pp. 291–294.

ICPR-v4-2004-Moreno-NoguerS #integration #multi #segmentation

Integration of Shape and a Multihypotheses Fisher Color Model for Figure-Ground Segmentation in Non-Stationary Environments (FMN, AS), pp. 771–774.

ICML-2001-LawrenceS #kernel

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

ICPR-1998-LiuW98a #linear #modelling #recognition

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

ICPR-1996-Aladjem #distance #optimisation #recursion

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