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Clustering and classification critically rely on distance metrics that provide meaningful comparisons between data points. To this end, learning optimal distance functions from data, known as metric learning, aims to facilitate supervised classificat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef4bf175a7ecd93eef5e7ab4aaa1c4d2
http://arxiv.org/abs/1803.10647
http://arxiv.org/abs/1803.10647