메뉴 건너뛰기




Volumn 13, Issue 4, 2001, Pages 323-347

Flexible feature discovery and structural information control

Author keywords

First order information; Flexible feature discovery; Information parameter; Second order information; Structural information

Indexed keywords

FLEXIBLE FEATURE DISCOVERY;

EID: 0035528493     PISSN: 09540091     EISSN: None     Source Type: Journal    
DOI: 10.1080/09540090110108679     Document Type: Article
Times cited : (80)

References (39)
  • 4
    • 0000302918 scopus 로고
    • Toward a theory of early visual processing
    • Atick, J. J., and Redlich, A. N., 1990, Toward a theory of early visual processing. Neural Computation, 2: 308-320.
    • (1990) Neural Computation , vol.2 , pp. 308-320
    • Atick, J.J.1    Redlich, A.N.2
  • 5
    • 0000728115 scopus 로고
    • Some informational aspects of visual perception
    • Atteave, F., 1990, Some informational aspects of visual perception. Psychological Review, 61: 183-193.
    • (1990) Psychological Review , vol.61 , pp. 183-193
    • Atteave, F.1
  • 6
    • 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
  • 8
    • 0002469309 scopus 로고    scopus 로고
    • Mutual information maximization: Models of cortical self-organization
    • Becker, S., 1996, Mutual information maximization: models of cortical self-organization. Network: Computation in Neural Systems, 7: 7-31.
    • (1996) Network: Computation in Neural Systems , vol.7 , pp. 7-31
    • Becker, S.1
  • 9
    • 0000840323 scopus 로고
    • Learning mixture models of spatial coherence
    • Becker, S., and Hinton, G. E., 1993, Learning mixture models of spatial coherence. Neural Computation, 5: 267-277.
    • (1993) Neural Computation , vol.5 , pp. 267-277
    • Becker, S.1    Hinton, G.E.2
  • 10
    • 0028416938 scopus 로고
    • Independent component analysis: A new concept
    • Comon, P., 1994, Independent component analysis: a new concept. Signal Processing, 36: 287-314.
    • (1994) Signal Processing , vol.36 , pp. 287-314
    • Comon, P.1
  • 11
    • 0002515823 scopus 로고
    • Unsupervised mutual information criterion for elimination of overtraining in supervised multiplayer networks
    • Deco, G., Finnof, W., and Zimmermann, H. G., 1995, Unsupervised mutual information criterion for elimination of overtraining in supervised multiplayer networks. Neural Computation, 7: 86-107.
    • (1995) Neural Computation , vol.7 , pp. 86-107
    • Deco, G.1    Finnof, W.2    Zimmermann, H.G.3
  • 14
    • 0016758101 scopus 로고
    • Cognition: A self-organizing multi-layered neural network
    • Fukushima, K., 1975, Cognition: a self-organizing multi-layered neural network. Biological Cybernetics, 20: 121-136.
    • (1975) Biological Cybernetics , vol.20 , pp. 121-136
    • Fukushima, K.1
  • 16
    • 5244352553 scopus 로고
    • Competitive learning: From interactive activation to adaptive resonance
    • Grossberg, S., 1987, Competitive learning: from interactive activation to adaptive resonance. Cognitive Science, 11: 23-63.
    • (1987) Cognitive Science , vol.11 , pp. 23-63
    • Grossberg, S.1
  • 18
    • 0000167218 scopus 로고
    • Hidden information maximization for feature detection and rule discovery
    • Kamimura, R., and Nakanishi, S., 1995a, Hidden information maximization for feature detection and rule discovery. Network, 6: 577-622.
    • (1995) Network , vol.6 , pp. 577-622
    • Kamimura, R.1    Nakanishi, S.2
  • 19
    • 0029254124 scopus 로고
    • Improving generalization performance by information minimization
    • Kamimura, R., and Nakanishi, S., 1995b, Improving generalization performance by information minimization. IEICE Transactions on Information and Systems, E78-D (2): 163-173.
    • (1995) IEICE Transactions on Information and Systems , vol.E78-D , Issue.2 , pp. 163-173
    • Kamimura, R.1    Nakanishi, S.2
  • 20
    • 0020068152 scopus 로고
    • Self-organized formation of topological correct feature maps
    • Kohonen, T., 1982, Self-organized formation of topological correct feature maps. Biological Cybernetics, 43: 59-69.
    • (1982) Biological Cybernetics , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 22
    • 0025489075 scopus 로고
    • The self-organization map
    • Kohonen, T., 1990, The self-organization map. Proceedings of the IEEE, 78 (9): 1464-1480.
    • (1990) Proceedings of the IEEE , vol.78 , Issue.9 , pp. 1464-1480
    • Kohonen, T.1
  • 26
    • 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
  • 27
    • 0000353243 scopus 로고
    • How to generate ordered maps by maximizing the mutual information between input and output
    • Linsker, R., 1989, How to generate ordered maps by maximizing the mutual information between input and output. Neural Computation, 1: 402-411.
    • (1989) Neural Computation , vol.1 , pp. 402-411
    • Linsker, R.1
  • 30
    • 0023142040 scopus 로고
    • Contributions of the pulvinar to visual spatial attention
    • Peterson, S. E., Robinson, D. L., and Morris, J. D., 1987, Contributions of the pulvinar to visual spatial attention. Neuropsychologia, 25: 97-105.
    • (1987) Neuropsychologia , vol.25 , pp. 97-105
    • Peterson, S.E.1    Robinson, D.L.2    Morris, J.D.3
  • 31
  • 32
    • 0001608026 scopus 로고
    • Feature discovery by competitive learning
    • D. E. Rumelhart, G. E. Hinton and R. J. Williams, (eds) (Cambridge MA: MIT Press)
    • Rumelhart, D. E., and Zipser, D., 1986, Feature discovery by competitive learning. In D. E. Rumelhart, G. E. Hinton and R. J. Williams, (eds) Parallel Distributed Processing, Vol. 1 (Cambridge MA: MIT Press), pp. 151-193.
    • (1986) Parallel Distributed Processing , vol.1 , pp. 151-193
    • Rumelhart, D.E.1    Zipser, D.2
  • 34
    • 0018878142 scopus 로고
    • A feature-integration theory of attention
    • Treisman, A. M., and Gelade, G., 1980, A feature-integration theory of attention. Cognitive Psychology, 12: 97-136.
    • (1980) Cognitive Psychology , vol.12 , pp. 97-136
    • Treisman, A.M.1    Gelade, G.2
  • 36
    • 0004565770 scopus 로고    scopus 로고
    • Topological selection for self-organization maps
    • Utsugi, A., 1996, Topological selection for self-organization maps. Neural Computation, 7: 727-740.
    • (1996) Neural Computation , vol.7 , pp. 727-740
    • Utsugi, A.1
  • 37
    • 0005023590 scopus 로고    scopus 로고
    • Hyperparameter selection for self-organization maps
    • Utsugi, A., 1997, Hyperparameter selection for self-organization maps. Neural Computation, 9: 623-635.
    • (1997) Neural Computation , vol.9 , pp. 623-635
    • Utsugi, A.1
  • 38
    • 0015749493 scopus 로고
    • Self-organization of orientation sensitive cells in the striata cortex
    • von der Malsburg, C. 1973, Self-organization of orientation sensitive cells in the striata cortex. Kybernetik, 14: 85-100.
    • (1973) Kybernetik , vol.14 , pp. 85-100
    • Von Der Malsburg, C.1
  • 39
    • 0027629412 scopus 로고
    • Rival penalized competitive learning for clustering analysis, RBF net, and curve detection
    • Xu, L., 1993, Rival penalized competitive learning for clustering analysis, RBF net, and curve detection. IEEE Transaction on Neural Networks, 4 (4): 636-649.
    • (1993) IEEE Transaction on Neural Networks , vol.4 , Issue.4 , pp. 636-649
    • Xu, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.