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    » Kernel Optimization in Discriminant Analysis
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    JMLR
    2006
    136views more  JMLR 2006»
    Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis
    13 years 7 months ago
    Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis
    Download  jmlr.csail.mit.edu
    In this paper we consider a novel Bayesian interpretation of Fisher's discriminant analysis. We relate Rayleigh's coefficient to a noise model that minimises a cost base...
    Tonatiuh Peña Centeno, Neil D. Lawrence
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    ICDM
    2009
    IEEE
    174views Data Mining» more  ICDM 2009»
    Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis
    14 years 2 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
    13 years 10 months 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 9 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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    NIPS
    2004
    207views Information Technology» more  NIPS 2004»
    Efficient Kernel Discriminant Analysis via QR Decomposition
    13 years 9 months ago
    Efficient Kernel Discriminant Analysis via QR Decomposition
    Download  books.nips.cc
    Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications such as face recognition. Re...
    Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladi...
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