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Oznake: computer science;machine learning;kernel methods;multiple kernel learning
We formulate the metric learning problem as that of minimizing the differential relative entropy between two multivariate Gaussians under constraints on the Mahalanobis distance function. Via a surprising equivalence, we show that this problem can be solved as a low-rank kernel learning problem. ...
Leto: 2006 Vir: videolectures.net
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