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Volumn 16, Issue 2, 2002, Pages 132-135

PCA in autocorrelation space

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; CORRELATION METHODS; FEATURE EXTRACTION; NONLINEAR SYSTEMS; VECTORS; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; VECTOR SPACES;

EID: 33845202679     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (11)
  • 1
    • 0003408496 scopus 로고    scopus 로고
    • Technical report, University of California, Irvine, Dept. of Information and Computer Sciences
    • C. Blake and C. Merz. UCI repository of machine learning databases. Technical report, University of California, Irvine, Dept. of Information and Computer Sciences, 1998.
    • (1998) UCI Repository of Machine Learning Databases
    • Blake, C.1    Merz, C.2
  • 2
  • 3
    • 0003549017 scopus 로고    scopus 로고
    • Adaptive and Learning Systems for Signal Processing, Communications, and Control. Wiley & Sons, 1st edition
    • K. I. Diamantaras and S. Y. Kung. Principal Component Neural Networks. Adaptive and Learning Systems for Signal Processing, Communications, and Control. Wiley & Sons, 1st edition, 1996.
    • (1996) Principal Component Neural Networks
    • Diamantaras, K.I.1    Kung, S.Y.2
  • 4
    • 0002900818 scopus 로고    scopus 로고
    • Scale and rotation invariant recognition method using higher-order local autocorrelation features of log-polar image
    • T. Kurita, K. Hotta, and T. Mishima. Scale and rotation invariant recognition method using higher-order local autocorrelation features of log-polar image. In Third Asian Conference on Computer Vision, pages 89-96, 1998.
    • (1998) Third Asian Conference on Computer Vision , pp. 89-96
    • Kurita, T.1    Hotta, K.2    Mishima, T.3
  • 5
    • 85027140143 scopus 로고
    • A face recognition method using higher order local autocorrelation and multivariate analisys
    • The Hague
    • T. Kurita, N. Otsu, and T. Sato. A face recognition method using higher order local autocorrelation and multivariate analisys. In 11th IAPR International Conference on Pattern Recognition, pages 213-216, The Hague, 1992.
    • (1992) 11th IAPR International Conference on Pattern Recognition , pp. 213-216
    • Kurita, T.1    Otsu, N.2    Sato, T.3
  • 6
    • 0001364162 scopus 로고
    • Nth-order autocorrelations in pattern recognition
    • J. A. McLaughlin and J. Raviv. Nth-order autocorrelations in pattern recognition. Information and Control, 12:121-142, 1968.
    • (1968) Information and Control , vol.12 , pp. 121-142
    • Mclaughlin, J.A.1    Raviv, J.2
  • 9
    • 84898984897 scopus 로고    scopus 로고
    • Nonlinear discriminant analysis using kernel functions
    • S. Solla, T. Leen, and K.-R. Müller, editors, MIT Press
    • V. Roth and V. Steinhage. Nonlinear discriminant analysis using kernel functions. In S. Solla, T. Leen, and K.-R. Müller, editors, Advances in Neural Information Processing Systems, volume 12, pages 568-574. MIT Press, 1999.
    • (1999) Advances in Neural Information Processing Systems , vol.12 , pp. 568-574
    • Roth, V.1    Steinhage, V.2
  • 11
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Schölkopf, A. Smola, and K.-R. Müller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10:1299-1319, 1998.
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Müller, K.-R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.