An analytical algorithm for generalized low-rank approximations of matrices

Pattern Recognition

Volumn 38, Issue 11, 2005, Pages 2213-2216

  Liang, Zhizheng ^a   Shi, Pengfei ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

2DPCA; Low rank approximations of matrices; The optimization function

Indexed keywords

APPROXIMATION THEORY; MATRIX ALGEBRA; OPTIMIZATION; PATTERN RECOGNITION;

2DPCA; LOW-RANK APPROXIMATIONS OF MATRICES; OPTIMALITY; THE OPTIMIZATION FUNCTION;

ALGORITHMS;

EID: 24044486540     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2005.04.012     Document Type: Article

References (5)

1. Jieping Ye, Generalized low rank approximations of matrices, The 21st International Conference on Machine Learning, 2004, pp. 887-894
2. (also appear in Machine Learning).
3. J. Yang, and J.Y. Yang From image vector to matrix: a straightforward image projection technique-IMPCA vs. PCA Pattern Recognition 35 9 2002 1997 1999
4. J. Yang, D. Zhang, A.F. Frangi, and J.Y. Yang Two-dimensional PCA: a new approach to appearance-based face representation and recognition IEEE Trans. PAMI 26 1 2004 131 137
5. James R. Schott Matrix Analysis for Statistics 1997 A Wiley InterScience Publication New York