Semi-supervised Kernel Metric Learning Using Relative Comparisons

1 Dec 2016Ehsan AmidAristides GionisAntti Ukkonen

We consider the problem of metric learning subject to a set of constraints on relative-distance comparisons between the data items. Such constraints are meant to reflect side-information that is not expressed directly in the feature vectors of the data items... (read more)

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