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    » Optimally Regularised Kernel Fisher Discriminant Analysis
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    NIPS
    2007
    131views Information Technology» more  NIPS 2007»
    Testing for Homogeneity with Kernel Fisher Discriminant Analysis
    13 years 8 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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    ICPR
    2006
    IEEE
    192views computer vision» more  ICPR 2006»
    Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition
    14 years 8 months ago
    Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition
    Download  www.jdl.ac.cn
    Kernel Fisher Discriminant Analysis (KFDA) has achieved great success in pattern recognition recently. However, the training process of KFDA is too time consuming (even intractabl...
    Baochang Zhang, Shiguang Shan, Wen Gao, Xilin Chen...
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    NECO
    2006
    97views more  NECO 2006»
    Feature Scaling for Kernel Fisher Discriminant Analysis Using Leave-One-Out Cross Validation
    13 years 7 months ago
    Feature Scaling for Kernel Fisher Discriminant Analysis Using Leave-One-Out Cross Validation
    Download  ttic.uchicago.edu
    Liefeng Bo, Ling Wang, Licheng Jiao
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    FGR
    2002
    IEEE
    150views Biometrics» more  FGR 2002»
    Face Recognition Using Kernel Based Fisher Discriminant Analysis
    14 years 11 days ago
    Face Recognition Using Kernel Based Fisher Discriminant Analysis
    Download  paul.rutgers.edu
    Qingshan Liu, Rui Huang, Hanqing Lu, Songde Ma
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    TNN
    2010
    149views Management» more  TNN 2010»
    A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors
    13 years 2 months ago
    A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors
    Download  research.microsoft.com
    Discriminant analysis plays an important role in statistical pattern recognition. A popular method is the Foley
    Wenming Zheng, Zhouchen Lin, Xiaoou Tang
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