Distance Metric Learning via Iterated Support Vector Machines

Distance metric learning aims to learn from the given training data a valid distance metric, with which the similarity between data samples can be more effectively evaluated for classification. Metric learning is often formulated as a convex or nonconvex optimization problem, while most existing met...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 26(2017), 10 vom: 15. Okt., Seite 4937-4950
1. Verfasser:	Wangmeng Zuo (VerfasserIn)
Weitere Verfasser:	Faqiang Wang, Zhang, David, Liang Lin, Yuchi Huang, Deyu Meng, Lei Zhang
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2017
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article