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Volumn , Issue , 2009, Pages 1833-1836

Orthogonalized discriminant analysis based on generalized singular value decomposition

Author keywords

Face recognition; Feature extraction; Pattern classification; Pattern recognition

Indexed keywords

COMPUTATIONALLY EFFICIENT; EIGEN DECOMPOSITION; GENERALIZED SINGULAR VALUE DECOMPOSITION; HIGH-DIMENSIONAL; INNER PRODUCT; LINEAR DISCRIMINANT ANALYSIS; MATRIX; NONLINEAR KERNELS; ORTHOGONALIZATION; OVERFITTING; PATTERN CLASSIFICATION; RECOGNITION ACCURACY; SIMULATION RESULT; SMALL SAMPLE SIZE PROBLEMS; SMALL SIZE;

EID: 70349192858     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4959963     Document Type: Conference Paper
Times cited : (1)

References (7)
  • 2
    • 1342310014 scopus 로고    scopus 로고
    • Structure perserving dimension reduction for clustered text data based on the generalized singular value decomposition
    • P. Howland, M. Jeon, and H. Park, "Structure perserving dimension reduction for clustered text data based on the generalized singular value decomposition," SIAM Journal Matrix Analsis Application, vol. 25, no. 1, pp. 165-179, 2003.
    • (2003) SIAM Journal Matrix Analsis Application , vol.25 , Issue.1 , pp. 165-179
    • Howland, P.1    Jeon, M.2    Park, H.3
  • 3
    • 51449107345 scopus 로고    scopus 로고
    • ICASSP 2008
    • W. Wu, J. He, and J. Zhang, "A kernelized discriminant analysis algorithm based on modified generalized singular value decomposition" ICASSP 2008, pp. 1353-1356.
    • Wu, W.1    He, J.2    Zhang, J.3
  • 4
    • 33745743918 scopus 로고    scopus 로고
    • Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis
    • J. Ye and T. Xiong, "Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis," Journal of Machine Learning Research, v7, pp. 1183-1204, 2006.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1183-1204
    • Ye, J.1    Xiong, T.2
  • 5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.