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    ICDAR
    2009
    IEEE
    190views Document Analysis» more  ICDAR 2009»
    Learning Bayesian Networks by Evolution for Classifier Combination
    13 years 6 months ago
    Learning Bayesian Networks by Evolution for Classifier Combination
    Download  www.cvc.uab.es
    Combining classifier methods have shown their effectiveness in a number of applications. Nonetheless, using simultaneously multiple classifiers may result in some cases in a reduc...
    Claudio De Stefano, Francesco Fontanella, Alessand...
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    ICIP
    2009
    IEEE
    161views Image Processing» more  ICIP 2009»
    Classified patch learning for spatially scalable video coding
    13 years 6 months ago
    Classified patch learning for spatially scalable video coding
    Download  research.microsoft.com
    This paper proposes an advanced spatially scalable video coding approach that exploits the inter layer correlation between different resolution layers by classified patch learning...
    Xiaoyan Sun, Feng Wu
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    BMVC
    2010
    170views Computer Vision» more  BMVC 2010»
    StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers
    13 years 6 months ago
    StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers
    Download  cms.brookes.ac.uk
    We introduce a novel bilinear boosting algorithm, which extends the multi-class boosting framework of JointBoost to optimize a bilinear objective function. This allows style param...
    Jonathan Warrell, Philip H. S. Torr, Simon Prince
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    EUSFLAT
    2009
    152views Fuzzy Logic» more  EUSFLAT 2009»
    Learning Fuzzy Rule Based Classifier in High Performance Computing Environment
    13 years 6 months ago
    Learning Fuzzy Rule Based Classifier in High Performance Computing Environment
    Download  www.eusflat.org
    -- An approach to estimate the number of rules by spectral analysis of the training dataset has been recently proposed [1]. This work presents an analysis of such a method in high ...
    Vinicius da F. Vieira, Alexandre Evsukoff, Beatriz...
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    ICDAR
    2009
    IEEE
    219views Document Analysis» more  ICDAR 2009»
    Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
    13 years 6 months ago
    Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
    Download  www.cvc.uab.es
    This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
    Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
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