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    Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints
    13 years 11 months ago
    Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints
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    Relevant component analysis (RCA) is a recently proposed metric learning method for semi-supervised learning applications. It is a simple and efficient method that has been applie...
    Dit-Yan Yeung, Hong Chang
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