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    ESANN
    2006
    85views Neural Networks» more  ESANN 2006»
    Synthesis of maximum margin and multiview learning using unlabeled data
    14 years 25 days 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 27 days 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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