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Volumn , Issue , 1997, Pages 831-837

Edges are the 'Independent Components' of natural scenes

Author keywords

[No Author keywords available]

Indexed keywords

INDEPENDENT COMPONENT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS;

EID: 84899029542     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (108)

References (12)
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    • Convergent algorithm for sensory receptive field development
    • Atick J.J. & Redlich A.N. 1993. Convergent algorithm for sensory receptive field development, Neural Computation 5, 45-60
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  • 4
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    • Unsupervised learning
    • Barlow H.B. 1989. Unsupervised learning, Neural Computation 1, 295-311
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    • An information maximization approach to blind separation and blind deconvolution
    • Bell A.J. & Sejnowski T.J. 1995. An information maximization approach to blind separation and blind deconvolution, Neural Computation, 7, 1129-1159
    • (1995) Neural Computation , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 7
    • 0000929221 scopus 로고
    • What is the goal of sensory coding?
    • Field D.J. 1994. What is the goal of sensory coding? Neural Computation 6, 559-601
    • (1994) Neural Computation , vol.6 , pp. 559-601
    • Field, D.J.1
  • 8
    • 0014266913 scopus 로고
    • Receptive fields and functional architecture of monkey striate cortex
    • Hubel D.H. & Wiesel T.N. 1968. Receptive fields and functional architecture of monkey striate cortex, J. Physiol, 195: 215-244
    • (1968) J. Physiol , vol.195 , pp. 215-244
    • Hubel, D.H.1    Wiesel, T.N.2
  • 9
    • 0023981750 scopus 로고
    • Self-organization in a perceptual network
    • Linsker R. 1988. Self-organization in a perceptual network. Computer, 21, 105-117
    • (1988) Computer , vol.21 , pp. 105-117
    • Linsker, R.1
  • 10
    • 0001834698 scopus 로고
    • Correlation-based models of neural development
    • M. Gluck & D. Rumelhart, eds., L. Erlbaum, NJ
    • Miller K.D. 1988. Correlation-based models of neural development, in Neuroscience and Connectionist Theory, M. Gluck & D. Rumelhart, eds., 267-353, L.Erlbaum, NJ
    • (1988) Neuroscience and Connectionist Theory , pp. 267-353
    • Miller, K.D.1
  • 11
    • 0000772267 scopus 로고
    • Non-linear neurons in the low noise limit: A factorial code maximises information transfer
    • Nadal J-P. & Parga N. 1994. Non-linear neurons in the low noise limit: a factorial code maximises information transfer. Network, 5, 565-581.
    • (1994) Network , vol.5 , pp. 565-581
    • Nadal, J.-P.1    Parga, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.