Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/99999
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Type: Journal article
Title: Canonical principal angles correlation analysis for two-view data
Author: Wang, S.
Lu, J.
Gu, X.
Shen, C.
Xia, R.
Yang, J.
Citation: Journal of Visual Communication and Image Representation, 2016; 35:209-219
Publisher: Elsevier
Issue Date: 2016
ISSN: 1047-3203
1095-9076
Statement of
Responsibility: 
Sheng Wang, Jianfeng Lu, Xingjian Gu, Chunhua Shen, Rui Xia, Jingyu Yang
Abstract: Abstract not available
Keywords: Canonical correlation analysis; feature fusion; unpaired data; manifold regularization; mutual subspace method; orthogonal projection; pattern recognition; handwritten recognition
Rights: © 2015 Elsevier Inc. All rights reserved.
RMID: 0030042488
DOI: 10.1016/j.jvcir.2015.12.001
Appears in Collections:Computer Science publications

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