Generative Local Metric Learning for Nearest Neighbor Classification

We consider the problem of learning a local metric in order to enhance the performance of nearest neighbor classification. Conventional metric learning methods attempt to separate data distributions in a purely discriminative manner; here we show how to take advantage of information from parametric...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 40(2018), 1 vom: 10. Jan., Seite 106-118
1. Verfasser:	Noh, Yung-Kyun (VerfasserIn)
Weitere Verfasser:	Zhang, Byoung-Tak, Lee, Daniel D
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2018
Zugriff auf das übergeordnete Werk:	IEEE transactions on pattern analysis and machine intelligence
Schlagworte:	Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.