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Learning Dissimilarities by Ranking: From SDP to QP
Hua Ouyang
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Oznake:
We consider the problem of learning dissimilarities between points via formulations which preserve a specified ordering between points rather than the numerical values of the dissimilarities. Dissimilarity ranking (d-ranking) learns from instances like "A is more similar to B than C is to D" or "The ...
Leto: 2008 Vir: videolectures.net
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