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Volumn 3, Issue , 2004, Pages 2209-2214

Sparse representation from a winner-take-all neural network

Author keywords

[No Author keywords available]

Indexed keywords

NONLINEAR FUNCTIONS; PERMUTATION; RANDOM VARIABLES; SPARSE REPRESENTATION;

EID: 10844273200     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2004.1380963     Document Type: Conference Paper
Times cited : (11)

References (11)
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    • Comon, P.1
  • 2
    • 0042826822 scopus 로고    scopus 로고
    • Independent component analysis: Algorithms and application
    • A. Hyvärinen and E. Oja, "Independent component analysis: Algorithms and application," Neural Networks, vol. 13, pp. 411-430, 2000.
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    • Hyvärinen, A.1    Oja, E.2
  • 3
    • 0030779611 scopus 로고    scopus 로고
    • Sparse coding with an overcomplete basis set: A strategy used by v1?
    • B.A. Olshaushen and D.J. Field, "Sparse coding with an overcomplete basis set: A strategy used by v1?" Vision Research, vol. 37, no. 23, pp. 3311-3325, 1997.
    • (1997) Vision Research , vol.37 , Issue.23 , pp. 3311-3325
    • Olshaushen, B.A.1    Field, D.J.2
  • 4
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • B.A. Olshausen and D.J. Field, "Emergence of simple-cell receptive field properties by learning a sparse code for natural images," Nature, vol. 381, pp. 607-609, 1996.
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 7
    • 0003410791 scopus 로고    scopus 로고
    • Springer-Verlag, New York, 3rd edition
    • T. Kohonen, Self-organizing Maps, Springer-Verlag, New York, 2001, 3rd edition.
    • (2001) Self-organizing Maps
    • Kohonen, T.1
  • 8
    • 0037313354 scopus 로고    scopus 로고
    • Linear geometric ica: Fundamentals and algorithms
    • Fabian J. Theis, Andreas Jung, Carlos G. Puntonet, and Elmar W. Lang, "Linear geometric ica: Fundamentals and algorithms," Neural Computation, vol. 15, no. 2, pp. 419-439, 2003.
    • (2003) Neural Computation , vol.15 , Issue.2 , pp. 419-439
    • Theis, F.J.1    Jung, A.2    Puntonet, C.G.3    Lang, E.W.4
  • 10
    • 0003905759 scopus 로고    scopus 로고
    • Fast independent component analysis
    • S. Roberts and R. Everson, Eds. Cambridge University Press, in press
    • A. Hyvärinen, "Fast independent component analysis," in Independent Component Analysis: Principles and Practice, S. Roberts and R. Everson, Eds. Cambridge University Press, 2001, in press.
    • (2001) Independent Component Analysis: Principles and Practice
    • Hyvärinen, A.1
  • 11
    • 0033556834 scopus 로고    scopus 로고
    • Independent component analysis using an extended infomax algorithm for mixed sub-gaussian and super-gaussian sources
    • T.-W. Lee, M. Girolami, and T. J. Sejnowski, "Independent component analysis using an extended infomax algorithm for mixed sub-gaussian and super-gaussian sources," Neural Computation, vol. 11, no. 2, pp. 417-441, 1999.
    • (1999) Neural Computation , vol.11 , Issue.2 , pp. 417-441
    • Lee, T.-W.1    Girolami, M.2    Sejnowski, T.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.