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cs.CV2012★ 1 cited
Classification of Hepatic Lesions using the Matching Metric
Aaron Adcock, Daniel Rubin, Gunnar Carlsson
In this paper we present a methodology of classifying hepatic (liver) lesions using multidimensional persistent homology, the matching metric (also called the bottleneck distance),…
cs.LG2012
A Hybrid Method for Distance Metric Learning
Yi-Hao Kao, Benjamin Van Roy, Daniel Rubin +3
We consider the problem of learning a measure of distance among vectors in a feature space and propose a hybrid method that simultaneously learns from similarity ratings assigned t…