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Volumn , Issue , 2010, Pages 4287-4290

Heteroscedastic multilinear discriminant analysis for face recognition

Author keywords

[No Author keywords available]

Indexed keywords

CHERNOFF DISTANCE; CLASSIFICATION ACCURACY; FACE DATABASE; HETEROSCEDASTIC; HIGH DIMENSIONAL SPACES; NEW APPROACHES; SUBSPACE LEARNING;

EID: 78149489487     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.1042     Document Type: Conference Paper
Times cited : (3)

References (13)
  • 1
    • 0031185845 scopus 로고    scopus 로고
    • Eigenfaces vs. Fisherfaces: Recognition using class specific linear
    • P. N. Belhumeur, J. P. Hespanha and D.J. Kriegman, "Eigenfaces vs. Fisherfaces: recognition using class specific linear," IEEE Trans. PAMI, 19, 711-720, 1997.
    • (1997) IEEE Trans. PAMI , vol.19 , pp. 711-720
    • Belhumeur, P.N.1    Hespanha, J.P.2    Kriegman, D.J.3
  • 2
    • 3042673775 scopus 로고    scopus 로고
    • Linear dimensionality reduction via a heteroscedastic extension of LDA: The Chernoff criterion
    • M. Loog, R.P.W. Duin, Linear dimensionality reduction via a heteroscedastic extension of LDA: the Chernoff criterion, IEEE Trans. PAMI 26 (6) 732-739, 2004.
    • (2004) IEEE Trans. PAMI , vol.26 , Issue.6 , pp. 732-739
    • Loog, M.1    Duin, R.P.W.2
  • 5
    • 41549158225 scopus 로고    scopus 로고
    • 1D-LDA vs. 2D-LDA: When is vector-based linear discriminant analysis better than matrix-based?
    • W. Zheng, J.H. Lai, S. Li, 1D-LDA vs. 2D-LDA: When is vector-based linear discriminant analysis better than matrix-based?, Pattern Recognition 41: 2156-2172 ,2008.
    • (2008) Pattern Recognition , vol.41 , pp. 2156-2172
    • Zheng, W.1    Lai, J.H.2    Li, S.3
  • 6
    • 34047193244 scopus 로고    scopus 로고
    • Two-dimensional Heteroscedastic Linear Discriminant Analysisfor Age-group Classification
    • K. Ueki, T Hayashida and and T. Kobayashi, "Two-dimensional Heteroscedastic Linear Discriminant Analysisfor Age-group Classification," ICPR, 2006.
    • (2006) ICPR
    • Ueki, K.1    Hayashida, T.2    Kobayashi, T.3
  • 7
    • 51449087164 scopus 로고    scopus 로고
    • Heteroscedastic Discriminant Analysis with two-dimensional Constriants
    • S.Chen, Y.Yu, B.Luo and R.Wang, "Heteroscedastic Discriminant Analysis with two-dimensional Constriants, 4701-4704, ICASSP, 2008.
    • (2008) ICASSP , pp. 4701-4704
    • Chen, S.1    Yu, Y.2    Luo, B.3    Wang, R.4
  • 8
    • 0347380229 scopus 로고    scopus 로고
    • The CMU pose, illumination, and expression database
    • T. Sim, S. Baker and M. Bsat, "The CMU pose, illumination, and expression database," IEEE Trans. PAMI, 25, 2003, 1615-1618.
    • (2003) IEEE Trans. PAMI , vol.25 , pp. 1615-1618
    • Sim, T.1    Baker, S.2    Bsat, M.3
  • 10
    • 78149490339 scopus 로고    scopus 로고
    • http://www.cl.cam.ac.uk.
  • 11
    • 0026384289 scopus 로고
    • Face recognition using eigenfaces
    • M.A. Turk and A.P. Pentland, "Face recognition using eigenfaces," CVPR, 1991, 586-591.
    • (1991) CVPR , pp. 586-591
    • Turk, M.A.1    Pentland, A.P.2
  • 12
    • 0001765951 scopus 로고    scopus 로고
    • A direct LDA algorithm for high-dimensional data with application to face recognition
    • H. Yu and J. Yang, "A direct LDA algorithm for high-dimensional data with application to face recognition," Pattern Recognition 34, 2001, 2067-2070.
    • (2001) Pattern Recognition , vol.34 , pp. 2067-2070
    • Yu, H.1    Yang, J.2
  • 13
    • 30044447599 scopus 로고    scopus 로고
    • General Low Rank Approximations of Matrices
    • J. Ye, "General Low Rank Approximations of Matrices", Machine Learning, Vol. 61, 167-191, 2005.
    • (2005) Machine Learning , vol.61 , pp. 167-191
    • Ye, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.