Sufficient Canonical Correlation Analysis

Canonical correlation analysis (CCA) is an effective way to find two appropriate subspaces in which Pearson's correlation coefficients are maximized between projected random vectors. Due to its well-established theoretical support and relatively efficient computation, CCA is widely used as a jo...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 25(2016), 6 vom: 01. Juni, Seite 2610-2619
1. Verfasser:	Guo, Yiwen (VerfasserIn)
Weitere Verfasser:	Ding, Xiaoqing, Liu, Changsong, Xue, Jing-Hao
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2016
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article