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    ESANN
    2006
    85views Neural Networks» more  ESANN 2006»
    Synthesis of maximum margin and multiview learning using unlabeled data
    14 years 1 months ago
    Synthesis of maximum margin and multiview learning using unlabeled data
    Download  www.dice.ucl.ac.be
    In this presentation we show the semi-supervised learning with two input sources can be transformed into a maximum margin problem to be similar to a binary SVM. Our formulation exp...
    Sándor Szedmák, John Shawe-Taylor
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    ESANN
    2007
    96views Neural Networks» more  ESANN 2007»
    A metamorphosis of Canonical Correlation Analysis into multivariate maximum margin learning
    14 years 1 months ago
    A metamorphosis of Canonical Correlation Analysis into multivariate maximum margin learning
    Download  www.dice.ucl.ac.be
    Abstract. Canonical Correlation Analysis(CCA) is a useful tool to discover relationship between different sources of information represented by vectors. The solution of the underl...
    Sándor Szedmák, Tijl De Bie, David R...
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