Semi-supervised Kernel Metric Learning Using Relative Comparisons

Ehsan Amid, Aristides Gionis, Antti 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-infor…