Learning hierarchical similarity metrics

CVPR, pp. 2280-2287, 2012.

Cited by: 1|Views21
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Abstract:

Categories in multi-class data are often part of an underlying semantic taxonomy. Recent work in object classification has found interesting ways to use this taxonomy structure to develop better recognition algorithms. Here we propose a novel framework to learn similarity metrics using the class taxonomy. We show that a nearest neighbor c...More

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