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    SIAMMAX
    2010
    189views more  SIAMMAX 2010»
    Fast Algorithms for the Generalized Foley-Sammon Discriminant Analysis
    13 years 2 months ago
    Fast Algorithms for the Generalized Foley-Sammon Discriminant Analysis
    Download  www.math.hkbu.edu.hk
    Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...
    Lei-Hong Zhang, Li-Zhi Liao, Michael K. Ng
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    BMCBI
    2010
    135views more  BMCBI 2010»
    Simple and flexible classification of gene expression microarrays via Swirls and Ripples
    13 years 7 months ago
    Simple and flexible classification of gene expression microarrays via Swirls and Ripples
    Download  www.biomedcentral.com
    Background: A simple classification rule with few genes and parameters is desirable when applying a classification rule to new data. One popular simple classification rule, diagon...
    Stuart G. Baker
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    ESANN
    2007
    103views Neural Networks» more  ESANN 2007»
    Interval discriminant analysis using support vector machines
    13 years 8 months ago
    Interval discriminant analysis using support vector machines
    Download  www.dice.ucl.ac.be
    Imprecision, incompleteness, prior knowledge or improved learning speed can motivate interval–represented data. Most approaches for SVM learning of interval data use local kernel...
    Cecilio Angulo, Davide Anguita, Luis Gonzál...
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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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    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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