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Volumn 1, Issue , 1999, Pages 314-319

A gradient based technique for generating sparse representation in function approximation

Author keywords

[No Author keywords available]

Indexed keywords

QUADRATIC PROGRAMMING;

EID: 1342295549     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICONIP.1999.844006     Document Type: Conference Paper
Times cited : (4)

References (16)
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    • Aronszajn, N.1
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    • Support vector networks
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    • Cortes, C.1    Vapnik, V.2
  • 5
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    • Relation between the statistics of natural images and the response properties of cortical cells
    • D.J. Field. Relation between the statistics of natural images and the response properties of cortical cells. Journal of Optical Society Am., 4:2379-2394, 1987.
    • (1987) Journal of Optical Society Am , vol.4 , pp. 2379-2394
    • Field, D.J.1
  • 6
    • 0000249788 scopus 로고    scopus 로고
    • An equivalence between sparse approximation and support vector machines
    • F. Girosi. An equivalence between sparse approximation and support vector machines. Neural Computation, 10(6): 1455-1480, 1998.
    • (1998) Neural Computation , vol.10 , Issue.6 , pp. 1455-1480
    • Girosi, F.1
  • 7
    • 0022661966 scopus 로고
    • Projection filter, Wiener filter and Karhunen-Loeve subspaces in digital image restoration
    • H. Ogawa and E. Oja. Projection filter, Wiener filter and Karhunen-Loeve subspaces in digital image restoration. Journal of Mathematical Analysis and Applications, 114(1):37-51, 1986.
    • (1986) Journal of Mathematical Analysis and Applications , vol.114 , Issue.1 , pp. 37-51
    • Ogawa, H.1    Oja, E.2
  • 8
    • 0000209334 scopus 로고    scopus 로고
    • Local feature analysis: A general statistical thoery for object recognition
    • P.S. Penev and J.J. Atick. Local feature analysis: A general statistical thoery for object recognition. Neural Systems, 7:477-500, 1996.
    • (1996) Neural Systems , vol.7 , pp. 477-500
    • Penev, P.S.1    Atick, J.J.2
  • 9
    • 0000473139 scopus 로고    scopus 로고
    • A sparse representation for function approximation
    • T. Poggio and F. Girosi. A sparse representation for function approximation. Neural Computation, 10(6):1445-1454, 1998.
    • (1998) Neural Computation , vol.10 , Issue.6 , pp. 1445-1454
    • Poggio, T.1    Girosi, F.2
  • 10
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    • Low dimensional procedure for characterization of human faces
    • L. Sirovich and M. Kirby. Low dimensional procedure for characterization of human faces. Journal of Optical Society Am., 4:519-524, 1987.
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    • Sirovich, L.1    Kirby, M.2
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    • Support vector method for function approximation, regression estimation and signal processing
    • V. Vapnik, S.E. Golowich, and A. Smola. Support vector method for function approximation, regression estimation and signal processing. In Advances in Neural Information Processing Systems 9, pages 281-287, 1997.
    • (1997) Advances in Neural Information Processing Systems , vol.9 , pp. 281-287
    • Vapnik, V.1    Golowich, S.E.2    Smola, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.