A Non-Greedy Algorithm for L1-Norm LDA

Recently, L1-norm-based discriminant subspace learning has attracted much more attention in dimensionality reduction and machine learning. However, most existing approaches solve the column vectors of the optimal projection matrix one by one with greedy strategy. Thus, the obtained optimal projectio...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 26(2017), 2 vom: 15. Feb., Seite 684-695
1. Verfasser:	Yang Liu (VerfasserIn)
Weitere Verfasser:	Quanxue Gao, Shuo Miao, Xinbo Gao, Feiping Nie, Yunsong Li
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