Low-dimensional Data Embedding via Robust Ranking

30 Nov 2016 Ehsan Amid Nikos Vlassis Manfred K. Warmuth

We describe a new method called t-ETE for finding a low-dimensional embedding of a set of objects in Euclidean space. We formulate the embedding problem as a joint ranking problem over a set of triplets, where each triplet captures the relative similarities between three objects in the set... (read more)

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