Discriminant learning through multiple principal angles for visual recognition

IEEE Transactions on Image Processing

Volumn 21, Issue 3, 2012, Pages 1381-1390

  Su, Ya ^a   Fu, Yun ^b   Gao, Xinbo ^c   Tian, Qi ^d  

^a TSINGHUA UNIVERSITY   (China)

^b the State University of New York   (United States)

^c XIDIAN UNIVERSITY   (China)

^d University of Texas at San Antonio   (United States)

Author keywords

Canonical correlation analysis (CCA); discriminant canonical correlations (DCCs); multiple principal angles (MPAs); visual recognition

Indexed keywords

CANONICAL CORRELATION ANALYSIS; CANONICAL CORRELATIONS; COMPUTATIONAL SOLUTIONS; CONVERGING SPEED; FISHER DISCRIMINANT; GLOBAL MEASUREMENTS; MULTISET; PRINCIPAL ANGLES; SUBSPACE ANALYSIS; SUBSPACE BASED; SUBSPACE LEARNING; VISUAL RECOGNITION;

PATTERN RECOGNITION;

TEACHING;

EID: 84857252138     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2011.2169972     Document Type: Article

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