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    » Sparse probabilistic classifiers
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    ML
    2007
    ACM
    99views Machine Learning» more  ML 2007»
    Classifying under computational resource constraints: anytime classification using probabilistic estimators
    14 years 12 months ago
    Classifying under computational resource constraints: anytime classification using probabilistic estimators
    Download  www.csse.monash.edu
    Ying Yang, Geoffrey I. Webb, Kevin B. Korb, Kai Mi...
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    83
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    PRL
    2007
    96views more  PRL 2007»
    An empirical analysis of the probabilistic K-nearest neighbour classifier
    14 years 12 months ago
    An empirical analysis of the probabilistic K-nearest neighbour classifier
    Download  www.dcs.gla.ac.uk
    S. Manocha, Mark Girolami
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    IEICET
    2010
    105views more  IEICET 2010»
    Superfast-Trainable Multi-Class Probabilistic Classifier by Least-Squares Posterior Fitting
    14 years 9 months ago
    Superfast-Trainable Multi-Class Probabilistic Classifier by Least-Squares Posterior Fitting
    Download  sugiyama-www.cs.titech.ac.jp
    Masashi Sugiyama
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    ICASSP
    2011
    IEEE
    211views Signal Processing» more  ICASSP 2011»
    Speaker verification using sparse representation classification
    14 years 4 months ago
    Speaker verification using sparse representation classification
    Download  mirlab.org
    Sparse representations of signals have received a great deal of attention in recent years, and the sparse representation classifier has very lately appeared in a speaker recogniti...
    Jia Min Karen Kua, Eliathamby Ambikairajah, Julien...
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    ICPR
    2010
    IEEE
    253views Computer Vision» more  ICPR 2010»
    Sparse Coding of Linear Dynamical Systems with an Application to Dynamic Texture Recognition
    15 years 6 months ago
    Sparse Coding of Linear Dynamical Systems with an Application to Dynamic Texture Recognition
    Download  vision.ai.uiuc.edu
    Given a sequence of observable features of a linear dynamical system (LDS), we propose the problem of finding a representation of the LDS which is sparse in terms of a given dict...
    Bernard Ghanem, Narendra Ahuja
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