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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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    PRL
    2010
    209views more  PRL 2010»
    Efficient update of the covariance matrix inverse in iterated linear discriminant analysis
    13 years 2 months ago
    Efficient update of the covariance matrix inverse in iterated linear discriminant analysis
    Download  www.neuroinformatik.ruhr-uni-bochum.de
    For fast classification under real-time constraints, as required in many imagebased pattern recognition applications, linear discriminant functions are a good choice. Linear discr...
    Jan Salmen, Marc Schlipsing, Christian Igel
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    ICMLA
    2008
    193views Machine Learning» more  ICMLA 2008»
    An Improved Generalized Discriminant Analysis for Large-Scale Data Set
    13 years 9 months ago
    An Improved Generalized Discriminant Analysis for Large-Scale Data Set
    Download  www.iipl.fudan.edu.cn
    In order to overcome the computation and storage problem for large-scale data set, an efficient iterative method of Generalized Discriminant Analysis is proposed. Because sample v...
    Weiya Shi, Yue-Fei Guo, Cheng Jin, Xiangyang Xue
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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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    SPEECH
    1998
    171views more  SPEECH 1998»
    Heteroscedastic discriminant analysis and reduced rank HMMs for improved speech recognition
    13 years 7 months ago
    Heteroscedastic discriminant analysis and reduced rank HMMs for improved speech recognition
    Download  www2.ece.jhu.edu
    We present the theory for heteroscedastic discriminant analysis (HDA), a model-based generalization of linear discriminant analysis (LDA) derived in the maximum-likelihood framewo...
    Nagendra Kumar, Andreas G. Andreou
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