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    ICDM
    2009
    IEEE
    174views Data Mining» more  ICDM 2009»
    Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis
    14 years 4 months ago
    Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis
    Download  www.ee.surrey.ac.uk
    —We consider the problem of learning a linear combination of pre-specified kernel matrices in the Fisher discriminant analysis setting. Existing methods for such a task impose a...
    Fei Yan, Josef Kittler, Krystian Mikolajczyk, Muha...
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    BMVC
    2001
    181views Computer Vision» more  BMVC 2001»
    Recognising Trajectories of Facial Identities Using Kernel Discriminant Analysis
    14 years 2 days ago
    Recognising Trajectories of Facial Identities Using Kernel Discriminant Analysis
    Download  www.bmva.ac.uk
    We present a comprehensive approach to address three challenging problems in face recognition: modelling faces across multi-views, extracting the non-linear discriminating feature...
    Yongmin Li, Shaogang Gong, Heather M. Liddell
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    NIPS
    2007
    131views Information Technology» more  NIPS 2007»
    Testing for Homogeneity with Kernel Fisher Discriminant Analysis
    13 years 11 months ago
    Testing for Homogeneity with Kernel Fisher Discriminant Analysis
    Download  books.nips.cc
    We propose to investigate test statistics for testing homogeneity based on kernel Fisher discriminant analysis. Asymptotic null distributions under null hypothesis are derived, an...
    Zaïd Harchaoui, Francis Bach, Eric Moulines
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    CVPR
    2007
    IEEE
    150views Computer Vision» more  CVPR 2007»
    Learning Object Material Categories via Pairwise Discriminant Analysis
    14 years 11 months ago
    Learning Object Material Categories via Pairwise Discriminant Analysis
    Download  users.rsise.anu.edu.au
    In this paper, we investigate linear discriminant analysis (LDA) methods for multiclass classification problems in hyperspectral imaging. We note that LDA does not consider pairwi...
    Zhouyu Fu, Antonio Robles-Kelly
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    KDD
    2006
    ACM
    149views Data Mining» more  KDD 2006»
    Regularized discriminant analysis for high dimensional, low sample size data
    14 years 10 months ago
    Regularized discriminant analysis for high dimensional, low sample size data
    Download  www.public.asu.edu
    Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
    Jieping Ye, Tie Wang
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