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Volumn 6, Issue , 2002, Pages 824-827

PCA vs. ICA: A comparison on the FERET data set

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER VISION; DATABASE SYSTEMS; EIGENVALUES AND EIGENFUNCTIONS; IMAGE ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; MATRIX ALGEBRA; PRINCIPAL COMPONENT ANALYSIS; PROJECTION SYSTEMS; VECTORS;

EID: 1642326653     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (78)

References (16)
  • 1
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    • Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
    • Kirby, M. and L. Sirovich, Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990. 12(1): p. 103-107.
    • (1990) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.12 , Issue.1 , pp. 103-107
    • Kirby, M.1    Sirovich, L.2
  • 3
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    • Independent component analysis; A new concept?
    • Comon, P., Independent component analysis; A new concept? Signal Processing, 1994. 36(3): p. 287-314.
    • (1994) Signal Processing , vol.36 , Issue.3 , pp. 287-314
    • Comon, P.1
  • 4
    • 0029411030 scopus 로고
    • An information-maximization Approach to Blind Separation and Blind Deconvolution
    • Bell, A.J. and T.J. Sejnowski, An information-maximization Approach to Blind Separation and Blind Deconvolution. Neural Computation, 1995. 7(6): p. 1129-1159.
    • (1995) Neural Computation , vol.7 , Issue.6 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 5
    • 0030832881 scopus 로고    scopus 로고
    • The 'Independent Components' of Natural Scenes are Edge Filters
    • Bell, A.J. and T.J. Sejnowski, The 'Independent Components' of Natural Scenes are Edge Filters. Vision Research, 1997.37(23): p. 3327-3338.
    • (1997) Vision Research , vol.37 , Issue.23 , pp. 3327-3338
    • Bell, A.J.1    Sejnowski, T.J.2
  • 9
    • 0033284828 scopus 로고    scopus 로고
    • Principal Manifolds and Bayesian Subspaces for Visual Recognition
    • Corfu, Greece
    • Moghaddam, B. Principal Manifolds and Bayesian Subspaces for Visual Recognition. in International Conference on Computer Vision. 1999. Corfu, Greece. p. 1131-1136.
    • (1999) International Conference on Computer Vision , pp. 1131-1136
    • Moghaddam, B.1
  • 12
    • 0011936939 scopus 로고    scopus 로고
    • Analysis of PCA-based Face Recognition Algorithms
    • K. Boyer and J. Phillips, Editors, IEEE Computer Society Press: Los Alamitos, CA
    • Moon, H. and J. Phillips, Analysis of PCA-based Face Recognition Algorithms, in Empirical Evaluation Techniques in Computer Vision, K. Boyer and J. Phillips, Editors. 1998, IEEE Computer Society Press: Los Alamitos, CA.
    • (1998) Empirical Evaluation Techniques in Computer Vision
    • Moon, H.1    Phillips, J.2
  • 13
    • 0042826822 scopus 로고    scopus 로고
    • Independent Component Analysis: Algorithms and Applications
    • Hyvärinen, A. and E. Oja, Independent Component Analysis: Algorithms and Applications. Neural Networks, 2000. 13(4-5): p. 411-430.
    • (2000) Neural Networks , vol.13 , Issue.4-5 , pp. 411-430
    • Hyvärinen, A.1    Oja, E.2
  • 14
    • 0031122399 scopus 로고    scopus 로고
    • Infomax and Maximum Likelihood for Source Separation
    • Cardoso, J.-F., Infomax and Maximum Likelihood for Source Separation. IEEE Letters on Signal Processing, 1997. 4: p. 112-114.
    • (1997) IEEE Letters on Signal Processing , vol.4 , pp. 112-114
    • Cardoso, J.-F.1
  • 15
    • 0141978306 scopus 로고    scopus 로고
    • The Fixed-point Algorithm and Maximum Likelihood Estimation for Independent Component Analysis
    • Hyvärinen, A., The Fixed-point Algorithm and Maximum Likelihood Estimation for Independent Component Analysis. Neural Processing Letters, 1999. 10: p. 1-5.
    • (1999) Neural Processing Letters , vol.10 , pp. 1-5
    • Hyvärinen, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.