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Volumn 37, Issue 23, 1997, Pages 3343-3365

Structure detection: A statistically certified unsupervised learning procedure

Author keywords

Image coding; Natural images; Neural networks; Structure; Unsupervised learning

Indexed keywords

ARTICLE; HYPOTHESIS; IMAGE ANALYSIS; LEARNING; PRIORITY JOURNAL; RETINA IMAGE; SENSORY NERVE CELL; VISION;

EID: 0030781109     PISSN: 00426989     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0042-6989(97)00187-9     Document Type: Article
Times cited : (4)

References (26)
  • 1
    • 0001471775 scopus 로고
    • Unsupervised learning
    • Barlow, H. B. (1989). Unsupervised learning. Neural Computation, 1, 295-311.
    • (1989) Neural Computation , vol.1 , pp. 295-311
    • Barlow, H.B.1
  • 3
    • 0029411030 scopus 로고
    • 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
  • 4
    • 0001493668 scopus 로고
    • Asymptotics of graphical projection pursuit
    • Diaconis, P. & Freedman, D. (1984). Asymptotics of graphical projection pursuit. The Annals of Statistics, 12, (3), 793-815.
    • (1984) The Annals of Statistics , vol.12 , Issue.3 , pp. 793-815
    • Diaconis, P.1    Freedman, D.2
  • 5
    • 0023492118 scopus 로고
    • Relations between the statistics of natural images and the response properties of cortical cells
    • Field, D. J. (1987). Relations between the statistics of natural images and the response properties of cortical cells. Journal of the Optical Society of America A, 4, 2379-2394.
    • (1987) Journal of the Optical Society of America A , vol.4 , pp. 2379-2394
    • Field, D.J.1
  • 6
    • 0025604930 scopus 로고
    • Forming sparse representations by local anti-hebbian learning
    • Foldiak, P. (1990). Forming sparse representations by local anti-Hebbian learning. Biological Cybernetics, 64, 165-170.
    • (1990) Biological Cybernetics , vol.64 , pp. 165-170
    • Foldiak, P.1
  • 7
    • 0000435426 scopus 로고
    • Finding compact and sparse-distributed representations of visual images
    • Fyfe, C. & Baddeley, R. (1995). Finding compact and sparse-distributed representations of visual images. Network, 6, 333-344.
    • (1995) Network , vol.6 , pp. 333-344
    • Fyfe, C.1    Baddeley, R.2
  • 9
    • 36149034635 scopus 로고
    • The principal components of natural images
    • Hancock, P. J. B., Baddeley, R. J. & Smith, L. S. (1992). The principal components of natural images. Network, 3, 61-72.
    • (1992) Network , vol.3 , pp. 61-72
    • Hancock, P.J.B.1    Baddeley, R.J.2    Smith, L.S.3
  • 10
    • 0000852458 scopus 로고    scopus 로고
    • Development of low entropy coding in a recurrent network
    • Harpur, G. F. & Prager, R. W. (1996). Development of low entropy coding in a recurrent network, Network, 7.
    • (1996) Network , vol.7
    • Harpur, G.F.1    Prager, R.W.2
  • 11
    • 0003818389 scopus 로고
    • New York: Holt, Reinhardt & Winston
    • Hays, W. L. (1988). Statistics, New York: Holt, Reinhardt & Winston.
    • (1988) Statistics
    • Hays, W.L.1
  • 12
    • 0000263797 scopus 로고
    • Projection pursuit
    • Huber, P. J. (1985). Projection Pursuit. Annals of Statistics, 13, 435-475.
    • (1985) Annals of Statistics , vol.13 , pp. 435-475
    • Huber, P.J.1
  • 13
    • 0001919309 scopus 로고
    • Feature extraction using an unsupervised neural network
    • Intrator, N. (1992). Feature extraction using an unsupervised neural network. Neural Computation, 4, 98-107.
    • (1992) Neural Computation , vol.4 , pp. 98-107
    • Intrator, N.1
  • 14
    • 0026436313 scopus 로고
    • Objective function formulation of the BCM theory of visual cortical plasticity: Statistical connections, stability conditions
    • Intrator, N. & Cooper, L. N. (1992). Objective function formulation of the BCM theory of visual cortical plasticity: statistical connections, stability conditions. Neural Networks, 5, 3-17.
    • (1992) Neural Networks , vol.5 , pp. 3-17
    • Intrator, N.1    Cooper, L.N.2
  • 15
    • 0028050061 scopus 로고
    • Formation of receptive fields in realistic visual environments according to the Bienenstock, Cooper, and Munro (BCM) theory
    • Law, C. C. & Cooper, L. N. (1994). Formation of receptive fields in realistic visual environments according to the Bienenstock, Cooper, and Munro (BCM) theory. Proceeedings of the National Academy of Sciences USA, 91, 7797-7801.
    • (1994) Proceeedings of the National Academy of Sciences USA , vol.91 , pp. 7797-7801
    • Law, C.C.1    Cooper, L.N.2
  • 16
    • 0023981750 scopus 로고
    • Self-organization in a perceptual network
    • Linsker, R. (1988). Self-organization in a perceptual network, Computer, 105-117.
    • (1988) Computer , pp. 105-117
    • Linsker, R.1
  • 17
    • 0342928994 scopus 로고
    • Localized principal components of natural images - An analytic solution
    • Liu, Y. & Shouval, H. (1994). Localized principal components of natural images - an analytic solution. Network - Computation In Neural Systems, 5, (2), 317-324.
    • (1994) Network - Computation in Neural Systems , vol.5 , Issue.2 , pp. 317-324
    • Liu, Y.1    Shouval, H.2
  • 18
    • 0002399288 scopus 로고
    • Neural networks, principal components, and subspaces
    • Oja, E. (1989). Neural networks, principal components, and subspaces. International Journal of Neural Systems, 1, (1), 61-68.
    • (1989) International Journal of Neural Systems , vol.1 , Issue.1 , pp. 61-68
    • Oja, E.1
  • 19
    • 26444447071 scopus 로고    scopus 로고
    • Natural images and efficient coding
    • Olshausen, B. A. & Field, D. J. (1996). Natural images and efficient coding, Network, 7, 333-339.
    • (1996) Network , vol.7 , pp. 333-339
    • Olshausen, B.A.1    Field, D.J.2
  • 20
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • Olshausen, B. A. & Field, D. J. (1996a). Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 381, 607-609.
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 21
    • 0342494878 scopus 로고
    • 2013 Fourth Avenue, Seattle, Washington
    • PhotoDisc, Inc. (1995). The starter kit. 2013 Fourth Avenue, Seattle, Washington.
    • (1995) The Starter Kit
  • 22
    • 0343364282 scopus 로고
    • Seeing beyond the nyquist limit
    • Ruderman, D. L. & Bialek, W. (1992). Seeing beyond the Nyquist limit. Neural Computation, 4, (5), 682-690.
    • (1992) Neural Computation , vol.4 , Issue.5 , pp. 682-690
    • Ruderman, D.L.1    Bialek, W.2
  • 23
    • 0001187198 scopus 로고
    • Statistics of natural images - Scaling in the woods
    • Ruderman, D. L. & Bialek, W. (1994). Statistics of natural images - scaling in the woods. Physics Review Letters, 73, (6), 814-817.
    • (1994) Physics Review Letters , vol.73 , Issue.6 , pp. 814-817
    • Ruderman, D.L.1    Bialek, W.2
  • 24
    • 0002937051 scopus 로고
    • An optimality principle for unsupervised learning
    • Touretzky, D. S. (Ed.). San Mateo, CA: Morgan Kaufmann
    • Sanger, T. D. (1989,) An optimality principle for unsupervised learning. In Touretzky, D. S. (Ed.), Advances in neural information processing systems (pp. 11-19). San Mateo, CA: Morgan Kaufmann.
    • (1989) Advances in Neural Information Processing Systems , pp. 11-19
    • Sanger, T.D.1
  • 25
    • 0039238512 scopus 로고    scopus 로고
    • Semilinear predictability minimization produces well-known feature detectors
    • Schmidhuber, J., Eldracher, M. & Foltin, B. (1996). Semilinear predictability minimization produces well-known feature detectors, Neural Computation, 8, (4), 773-786.
    • (1996) Neural Computation , vol.8 , Issue.4 , pp. 773-786
    • Schmidhuber, J.1    Eldracher, M.2    Foltin, B.3
  • 26
    • 0010795406 scopus 로고    scopus 로고
    • Principal component neurons in a realistic visual environment
    • Shouval, H. & Liu, Y. (1996). Principal component neurons in a realistic visual environment. Network - Computation In Neural Systems, 7 (3), 501-515.
    • (1996) Network - Computation in Neural Systems , vol.7 , Issue.3 , pp. 501-515
    • Shouval, H.1    Liu, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.