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Volumn 1327, Issue , 1997, Pages 583-588

Kernel principal component analysis

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; PATTERN RECOGNITION;

EID: 84956689194     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0020217     Document Type: Conference Paper
Times cited : (1606)

References (11)
  • 1
    • 0000874557 scopus 로고
    • Theoretical foundations of the potential function method in pattern recognition learning
    • M. A. Aizerman, E. M. Braverman, & L. I. Rozonoér. Theoretical foundations of the potential function method in pattern recognition learning. Automation and Remote Control, 25:821-837, 1964.
    • (1964) Automation and Remote Control , vol.25 , pp. 821-837
    • Aizerman, M.A.1    Braverman, E.M.2    Rozonoér, L.I.3
  • 3
    • 34249753618 scopus 로고
    • Support vector networks
    • C. Cortes & V. Vapnik. Support vector networks. Machine Learning, 20:273-297, 1995.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 4
    • 84950453673 scopus 로고
    • Principal curves
    • T. Hastie & W. Stuetzle. Principal curves. JASA, 84:502-516, 1989.
    • (1989) JASA , vol.84 , pp. 502-516
    • Hastie, T.1    Stuetzle, W.2
  • 5
    • 0025236073 scopus 로고
    • Application of the Karhunen-Loeve procedure for the characterization of human faces
    • M. Kirby & L. Sirovich. Application of the Karhunen-Loeve procedure for the characterization of human faces. IEEE Transactions, PAMI-12(1):103-108, 1990.
    • (1990) IEEE Transactions, PAMI , vol.12 , Issue.1 , pp. 103-108
    • Kirby, M.1    Sirovich, L.2
  • 6
    • 0020464111 scopus 로고
    • A simplified neuron model as a principal component analvzer
    • E. Oja. A simplified neuron model as a principal component analvzer. J. Math. Biology, 15:267-273, 1982.
    • (1982) J. Math. Biology , vol.15 , pp. 267-273
    • Oja, E.1
  • 8
    • 84902142380 scopus 로고    scopus 로고
    • Incorporating invariances in support vector learning machines
    • C. v. d. Malsburg, W. v. Seelen, J. C. Vorbriiggen, & B. Sendhoff, eds, Berlin, Springer LXCS
    • B. Scholkopf, C. Burges, & V. Vapnik. Incorporating invariances in support vector learning machines. In C. v. d. Malsburg, W. v. Seelen, J. C. Vorbriiggen, & B. Sendhoff, eds., ICANN'96, p 47-52, Berlin, 1996. Springer LXCS Vol. 1112.
    • (1996) ICANN'96 , vol.1112 , pp. 47-52
    • Scholkopf, B.1    Burges, C.2    Vapnik, V.3
  • 9
    • 0003836788 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Max-Planck-Institut fur biologische Kybernetik, Submitted to Neural Computation
    • B. Schölkopf, A. J. Smola, & K.-R. Müller. Nonlinear component analysis as a kernel eigenvalue problem. Technical Report 44, Max-Planck-Institut fur biologische Kybernetik, 1996. Submitted to Neural Computation.
    • (1996) Technical Report , vol.44
    • Schölkopf, B.1    Smola, A.J.2    Müller, K.-R.3
  • 10
    • 0003137923 scopus 로고
    • Efficient pattern recognition using a new transformation distance
    • S. J. Hanson, J. D. Cowan, k C. L, Giles, editors, San Mateo, CA, Morgan Kaufmann
    • P. Simard, Y. LeCun, & J. Denker. Efficient pattern recognition using a new transformation distance. In S. J. Hanson, J. D. Cowan, k C. L, Giles, editors, Advances in NIPS 5, San Mateo, CA, 1993. Morgan Kaufmann.
    • (1993) Advances in NIPS 5
    • Simard, P.1    Lecun, Y.2    Denker, J.3
  • 11
    • 0004272441 scopus 로고
    • Nauka, Moscow, 1974. (German Translation: W. Wapnik k A. Tscherwonenkis, Theorie der Zeichenerkennung, Akademie-Verlag, Berlin
    • V. Vapnik & A. Chervonenkis. Theory of Pattern Recognition [in Russian]. Nauka, Moscow, 1974. (German Translation: W. Wapnik k A. Tscherwonenkis, Theorie der Zeichenerkennung, Akademie-Verlag, Berlin, 1979).
    • (1979) Theory of Pattern Recognition [In Russian]
    • Vapnik, V.1    Chervonenkis, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.