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    Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints
    13 years 4 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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