메뉴 건너뛰기




Volumn 6, Issue 3, 1996, Pages 185-203

Unsupervised neural network learning procedures for feature extraction and classification

Author keywords

Feature extraction; Information theory; Self organization; Signal processing; Unsupervised learning

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMBINATORIAL MATHEMATICS; DATA PROCESSING; FEATURE EXTRACTION; INFORMATION THEORY; NEURAL NETWORKS; OPTIMIZATION; PARAMETER ESTIMATION; SIGNAL PROCESSING;

EID: 0030197052     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF00126625     Document Type: Article
Times cited : (60)

References (81)
  • 2
    • 25444510555 scopus 로고
    • Predicting ganglion and simple cell receptive field organizations from information theory
    • Institute for Advanced Study, Princeton, IASSNS-HEP-89/55
    • J.J. Atick and A.N. Redlich, "Predicting ganglion and simple cell receptive field organizations from information theory," Institute for Advanced Study, Princeton, Technical Report, IASSNS-HEP-89/55, 1989.
    • (1989) Technical Report
    • Atick, J.J.1    Redlich, A.N.2
  • 3
    • 0000302918 scopus 로고
    • Towards a theory of early visual processing
    • J.J. Atick and A.N Redlich, "Towards a theory of early visual processing," Neural Computation, vol. 2, pp. 308-320, 1990.
    • (1990) Neural Computation , vol.2 , pp. 308-320
    • Atick, J.J.1    Redlich, A.N.2
  • 4
    • 0024774330 scopus 로고
    • Neural networks and principal component analysis: Learning from examples without local minima
    • P. Baldi and K. Hornik, "Neural networks and principal component analysis: Learning from examples without local minima," Neural Networks, vol. 2, pp. 53-58, 1989.
    • (1989) Neural Networks , vol.2 , pp. 53-58
    • Baldi, P.1    Hornik, K.2
  • 5
    • 0001471775 scopus 로고
    • Unsupervised learning
    • H.B. Barlow, "Unsupervised learning," Neural Computation, vol. 1, pp. 295-311, 1989.
    • (1989) Neural Computation , vol.1 , pp. 295-311
    • Barlow, H.B.1
  • 7
    • 0039765609 scopus 로고
    • Learning to categorize objects using temporal coherence
    • Morgan Kaufmann
    • S. Becker, "Learning to categorize objects using temporal coherence," in Advances in Neural Information Processing Systems 5, Morgan Kaufmann, pp. 361-368, 1993.
    • (1993) Advances in Neural Information Processing Systems 5 , pp. 361-368
    • Becker, S.1
  • 8
    • 0026586030 scopus 로고
    • A self-organizing neural network that discovers surfaces in random-dot stereograms
    • S. Becker and G.E. Hinton, "A self-organizing neural network that discovers surfaces in random-dot stereograms," Nature, vol. 355, pp. 161-163, 1992.
    • (1992) Nature , vol.355 , pp. 161-163
    • Becker, S.1    Hinton, G.E.2
  • 9
    • 0000840323 scopus 로고
    • Learning mixture models of spatial coherence
    • S. Becker and G.E. Hinton, "Learning mixture models of spatial coherence," Neural Computation, vol. 5, no. 2, pp. 267-277, 1993.
    • (1993) Neural Computation , vol.5 , Issue.2 , pp. 267-277
    • Becker, S.1    Hinton, G.E.2
  • 10
    • 0005697223 scopus 로고
    • Self-organisation in real neurons: Anti-hebbin'channel space'
    • Morgan Kaufmann
    • A.J. Bell, "Self-organisation in real neurons: Anti-hebbin'channel space'," in Advances in Neural Information Processing Systems 4, Morgan Kaufmann, pp. 59-66, 1992.
    • (1992) Advances in Neural Information Processing Systems 4 , pp. 59-66
    • Bell, A.J.1
  • 11
    • 0020074887 scopus 로고
    • Theory for the development of neuron selectivity; orientation specificity and binocular interaction in visual cortex
    • E.L. Bienenstock, L.N. Cooper, and P.W. Munro, "Theory for the development of neuron selectivity; orientation specificity and binocular interaction in visual cortex," Journal of Neuroscience, vol. 2, pp. 32-48, 1982.
    • (1982) Journal of Neuroscience , vol.2 , pp. 32-48
    • Bienenstock, E.L.1    Cooper, L.N.2    Munro, P.W.3
  • 12
    • 0024220237 scopus 로고
    • Auto-association by multilayer perceptrons and singular value decomposition
    • H. Bourlard and Y. Kamp, "Auto-association by multilayer perceptrons and singular value decomposition," Biological Cybernetics, vol. 59, pp. 291-294, 1988.
    • (1988) Biological Cybernetics , vol.59 , pp. 291-294
    • Bourlard, H.1    Kamp, Y.2
  • 13
    • 0000583248 scopus 로고
    • Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition
    • edited by F. Fougelman-Soulie and J. Herault, Springer-Verlag
    • J.S. Bridle, "Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition," in NATO ASI Series on Systems and Computer Science, edited by F. Fougelman-Soulie and J. Herault, Springer-Verlag, 1990.
    • (1990) NATO ASI Series on Systems and Computer Science
    • Bridle, J.S.1
  • 14
    • 0021776661 scopus 로고
    • A massively parallel architecture for a self-organizing neural pattern recognition machine
    • G.A. Carpenter and S. Grossberg, "A massively parallel architecture for a self-organizing neural pattern recognition machine," Computer Vision, vol. 37, pp. 54-115, 1983.
    • (1983) Computer Vision , vol.37 , pp. 54-115
    • Carpenter, G.A.1    Grossberg, S.2
  • 15
    • 0003244103 scopus 로고
    • Image compression by back propagation: A demonstration of extensional programming
    • edited by N.E. Sharkey, Abbex: Norwood, NJ
    • G.W. Cottrell, P.W. Munro, and D. Zipser, "Image compression by back propagation: A demonstration of extensional programming," in Advances in Cognitive Science, edited by N.E. Sharkey, vol. 2, Abbex: Norwood, NJ, 1989.
    • (1989) Advances in Cognitive Science , vol.2
    • Cottrell, G.W.1    Munro, P.W.2    Zipser, D.3
  • 17
    • 26444565569 scopus 로고
    • Finding structure in time
    • J.L. Elman, "Finding structure in time," Cognitive Science, vol. 14, pp. 179-211, 1990.
    • (1990) Cognitive Science , vol.14 , pp. 179-211
    • Elman, J.L.1
  • 18
    • 0242701174 scopus 로고
    • Learning the hidden structure of speech
    • Institute of Cognitive Science, University of California, San Diego
    • J.L. Elman and D. Zipser, "Learning the hidden structure of speech," Institute of Cognitive Science, University of California, San Diego, ICS Report 8701, 1987.
    • (1987) ICS Report 8701
    • Elman, J.L.1    Zipser, D.2
  • 19
    • 0024882287 scopus 로고
    • On the analysis of multi-dimensional linear predictive/autoregressive data by a class of single layer connectionist models
    • F. Fallside, "On the analysis of multi-dimensional linear predictive/autoregressive data by a class of single layer connectionist models," in IEE Conference on Artificial Neural Networks, pp. 176-180, 1989.
    • (1989) IEE Conference on Artificial Neural Networks , pp. 176-180
    • Fallside, F.1
  • 21
    • 0345368881 scopus 로고
    • Unsupervised learning of distributions on binary vectors using 2-layer networks
    • Morgan Kaufmann Publishers
    • Y. Freund and D. Haussler, "Unsupervised learning of distributions on binary vectors using 2-layer networks," in Advances in Neural Information Processing Systems 4, Morgan Kaufmann Publishers, pp. 912-919, 1992.
    • (1992) Advances in Neural Information Processing Systems 4 , pp. 912-919
    • Freund, Y.1    Haussler, D.2
  • 22
    • 0016758101 scopus 로고
    • Cognitron: A self-organizing multilayered neural network
    • K. Fukushima, "Cognitron: A self-organizing multilayered neural network," Biological Cybernetics, vol. 20, pp. 121-136, 1975.
    • (1975) Biological Cybernetics , vol.20 , pp. 121-136
    • Fukushima, K.1
  • 23
    • 0019152630 scopus 로고
    • Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
    • K. Fukushima, "Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position," Biological Cybernetics, vol. 36, pp. 193-202, 1980.
    • (1980) Biological Cybernetics , vol.36 , pp. 193-202
    • Fukushima, K.1
  • 24
    • 0021249056 scopus 로고
    • A hierarchical neural network model for associative memory
    • K. Fukushima, "A hierarchical neural network model for associative memory," Biological Cybernetics, vol. 50, pp. 105-113, 1984.
    • (1984) Biological Cybernetics , vol.50 , pp. 105-113
    • Fukushima, K.1
  • 26
    • 0019715474 scopus 로고
    • On the relationships between SVD, KLT and PCA
    • J.J. Gerbrands, "On the relationships between SVD, KLT and PCA," Pattern Recogntion, vol. 14, pp. 375-381, 1981.
    • (1981) Pattern Recogntion , vol.14 , pp. 375-381
    • Gerbrands, J.J.1
  • 29
    • 0000999440 scopus 로고
    • Learning and relearning in Boltzmann machines
    • edited by D.E. Rumelhart, J.L. McClelland, and the PDP research group, MIT Press: Cambridge, MA
    • G.E. Hinton and T.J. Sejnowski, "Learning and relearning in Boltzmann machines," in Parallel distributed processing: Explorations in the microstructure of cognition, edited by D.E. Rumelhart, J.L. McClelland, and the PDP research group, MIT Press: Cambridge, MA, vol. I, pp. 282-317, 1986.
    • (1986) Parallel Distributed Processing: Explorations in the Microstructure of Cognition , vol.1 , pp. 282-317
    • Hinton, G.E.1    Sejnowski, T.J.2
  • 30
    • 0026727495 scopus 로고
    • Convergence analysis of local feature extraction algorithms
    • K. Hornik and C.-M. Kuan, "Convergence analysis of local feature extraction algorithms," Neural Networks, vol. 5, pp. 229-240, 1992.
    • (1992) Neural Networks , vol.5 , pp. 229-240
    • Hornik, K.1    Kuan, C.-M.2
  • 31
    • 0001919309 scopus 로고
    • Feature extraction using an unsupervised neural network
    • N. Intrator, "Feature extraction using an unsupervised neural network," Neural Computation, vol. 4, no. 1, pp. 98-107, 1992.
    • (1992) Neural Computation , vol.4 , Issue.1 , pp. 98-107
    • Intrator, N.1
  • 34
    • 0026191274 scopus 로고
    • Blind separation of sources, part I: An adaptive algorithm based on enuromimetic architecture
    • C. Jutten and J. Herault, "Blind separation of sources, part I: An adaptive algorithm based on enuromimetic architecture," Signal Processing, vol. 24, pp. 1-10, 1991.
    • (1991) Signal Processing , vol.24 , pp. 1-10
    • Jutten, C.1    Herault, J.2
  • 35
    • 0026188054 scopus 로고
    • Blind separation of sources, part II: Problems statement
    • C. Jutten and J. Herault, "Blind separation of sources, part II: Problems statement," Signal Processing, vol. 24, pp. 11-20, 1991.
    • (1991) Signal Processing , vol.24 , pp. 11-20
    • Jutten, C.1    Herault, J.2
  • 37
    • 0020274030 scopus 로고
    • Clustering, taxonomy, and topological maps of patterns
    • edited by M. Lang, IEEE Computer Society Press: Silver Spring, MD
    • T. Kohonen, "Clustering, taxonomy, and topological maps of patterns," in Proceedings of the Sixth International Conference on Pattern Recognition, edited by M. Lang, IEEE Computer Society Press: Silver Spring, MD, 1982.
    • (1982) Proceedings of the Sixth International Conference on Pattern Recognition
    • Kohonen, T.1
  • 38
    • 0023983407 scopus 로고
    • The 'neural' phonetic typewriter
    • T. Kohonen, "The 'neural' phonetic typewriter," IEEE Computer, vol. 21, pp. 11-22, 1988.
    • (1988) IEEE Computer , vol.21 , pp. 11-22
    • Kohonen, T.1
  • 39
    • 0016907565 scopus 로고
    • Fast adaptive formation of orthogonalizing filters and associative memory in recurrent networks of neuron-like elements
    • T. Kohonen and E. Oja, "Fast adaptive formation of orthogonalizing filters and associative memory in recurrent networks of neuron-like elements," Biological Cybernetics, vol. 21, pp. 85-95, 1976.
    • (1976) Biological Cybernetics , vol.21 , pp. 85-95
    • Kohonen, T.1    Oja, E.2
  • 41
    • 0003645482 scopus 로고
    • Nonlinear signal processing using neural networks: Prediction and system modelling
    • Los Alamos National Laboratory
    • A.S. Lapedes and R.M. Farber, "Nonlinear signal processing using neural networks: Prediction and system modelling," Los Alamos National Laboratory, Technical Report LA-UR-87-2662, 1987.
    • (1987) Technical Report LA-UR-87-2662
    • Lapedes, A.S.1    Farber, R.M.2
  • 42
    • 0010226653 scopus 로고
    • Dynamics of learning in linear feature-discovery networks
    • T.K. Leen, "Dynamics of learning in linear feature-discovery networks," Network, vol. 2, pp. 85-105, 1991.
    • (1991) Network , vol.2 , pp. 85-105
    • Leen, T.K.1
  • 44
    • 0023981750 scopus 로고
    • Self-organization in a perceptual network
    • March
    • R. Linsker, "Self-organization in a perceptual network," IEEE Computer, vol. 21, no. 3, pp. 105-117, March 1988.
    • (1988) IEEE Computer , vol.21 , Issue.3 , pp. 105-117
    • Linsker, R.1
  • 45
    • 0000969444 scopus 로고
    • Deriving receptive fields using an optimal encoding criterion
    • Morgan Kaufmann
    • R. Linsker, "Deriving receptive fields using an optimal encoding criterion," in Advances in Neural Information Processing Systems 5, Morgan Kaufmann, pp. 953-960, 1993.
    • (1993) Advances in Neural Information Processing Systems 5 , pp. 953-960
    • Linsker, R.1
  • 47
    • 0010371864 scopus 로고
    • Discovering discrete distributed representations with iterative competitive learning
    • Morgan Kaufmann
    • M.C. Mozer, "Discovering discrete distributed representations with iterative competitive learning," in Advances in Neural Information Processing Systems 3, Morgan Kaufmann, pp. 627-634, 1991.
    • (1991) Advances in Neural Information Processing Systems 3 , pp. 627-634
    • Mozer, M.C.1
  • 49
    • 0002291616 scopus 로고
    • Neural net architectures for temporal sequence processing
    • edited by A. Weigend and N. Gershenfeld, Addison-Wesley Publishing: Redwood City, CA
    • M.C. Mozer, "Neural net architectures for temporal sequence processing," in Predicting the future and understanding the past, edited by A. Weigend and N. Gershenfeld, Addison-Wesley Publishing: Redwood City, CA, 1993.
    • (1993) Predicting the Future and Understanding the Past
    • Mozer, M.C.1
  • 50
    • 44049116681 scopus 로고
    • Connectionist learning of belief networks
    • R.M. Neal, "Connectionist learning of belief networks," Artificial Intelligence, vol. 56, pp. 71-113,1992.
    • (1992) Artificial Intelligence , vol.56 , pp. 71-113
    • Neal, R.M.1
  • 52
    • 0000415231 scopus 로고
    • Maximum likelihood competitive learning
    • edited by D.S. Touretzky, Morgan Kaufmann: San Mateo, CA
    • S.J. Nowlan, "Maximum likelihood competitive learning," in Neural Information Processing Systems, edited by D.S. Touretzky, Morgan Kaufmann: San Mateo, CA, vol. 2, pp. 574-582, 1990.
    • (1990) Neural Information Processing Systems , vol.2 , pp. 574-582
    • Nowlan, S.J.1
  • 53
    • 0003541323 scopus 로고
    • Soft Competitive Adaptation: Neural Network Learning Algorithms based on Fitting Statistical Mixtures
    • Ph.D. Thesis, Carnegie-Mellon University, Pittsburgh PA, Also published
    • S.J. Nowlan, Soft Competitive Adaptation: Neural Network Learning Algorithms based on Fitting Statistical Mixtures, Ph.D. Thesis, Carnegie-Mellon University, Pittsburgh PA, 1991. Also published as CMU Technical Report CMU-CS-91-126.
    • (1991) CMU Technical Report CMU-CS-91-126
    • Nowlan, S.J.1
  • 54
    • 0020464111 scopus 로고
    • A simplified neuron model as a principal component analyser
    • E. Oja, "A simplified neuron model as a principal component analyser," Journal of Mathematical Biology, vol. 15, pp. 267-273, 1982.
    • (1982) Journal of Mathematical Biology , vol.15 , pp. 267-273
    • Oja, E.1
  • 55
    • 0002399288 scopus 로고
    • Neural networks, principal components, and subspaces
    • E. Oja, "Neural networks, principal components, and subspaces," International Journal of Neural Systems, vol. 1, no. 1, pp. 61-68, 1989.
    • (1989) International Journal of Neural Systems , vol.1 , Issue.1 , pp. 61-68
    • Oja, E.1
  • 56
    • 0026954958 scopus 로고
    • Principal components, minor components, and linear neural networks
    • E. Oja, "Principal components, minor components, and linear neural networks," Neural Networks, vol. 5, pp. 927-935, 1992.
    • (1992) Neural Networks , vol.5 , pp. 927-935
    • Oja, E.1
  • 57
    • 0022013023 scopus 로고
    • On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix
    • E. Oja and J. Karhunen, "On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix," Journal of Mathematical Analysis and Applications, vol. 106, pp. 69-84, 1985.
    • (1985) Journal of Mathematical Analysis and Applications , vol.106 , pp. 69-84
    • Oja, E.1    Karhunen, J.2
  • 58
    • 0003168213 scopus 로고
    • PCA in fully parallel neural networks
    • edited by I. Aleksander and J. Taylor, North-Holland: Amsterdam
    • E. Oja, H. Ogawa, and J. Wangviwattana, "PCA in fully parallel neural networks," in Artificial Neural Networks, edited by I. Aleksander and J. Taylor, North-Holland: Amsterdam, vol. 2, pp. 199-202, 1992.
    • (1992) Artificial Neural Networks , vol.2 , pp. 199-202
    • Oja, E.1    Ogawa, H.2    Wangviwattana, J.3
  • 61
    • 0001406440 scopus 로고
    • A mean field theory learning algorithm for neural networks
    • C. Peterson and J.R. Anderson, "A mean field theory learning algorithm for neural networks," Complex Systems, vol. 1, pp. 995-1019, 1987.
    • (1987) Complex Systems , vol.1 , pp. 995-1019
    • Peterson, C.1    Anderson, J.R.2
  • 62
    • 0024901271 scopus 로고
    • Explorations of the mean field theory learning algorithm
    • C. Peterson and E. Hartman, "Explorations of the mean field theory learning algorithm," Neural Networks, vol. 2, p. 475, 1989.
    • (1989) Neural Networks , vol.2 , pp. 475
    • Peterson, C.1    Hartman, E.2
  • 63
    • 0027246978 scopus 로고
    • Efficient information transfer and anti-Hebbian neural networks
    • M.D. Plumbley, "Efficient information transfer and anti-Hebbian neural networks," Neural Networks, vol. 6, no. 6, pp. 823-833, 1993.
    • (1993) Neural Networks , vol.6 , Issue.6 , pp. 823-833
    • Plumbley, M.D.1
  • 64
    • 0027287094 scopus 로고
    • A Hebbian/anti-Hebbian network which optimizes information capacity by orthonormalizing the principal subspace
    • Brighton, UK, May
    • M.D. Plumbley, "A Hebbian/anti-Hebbian network which optimizes information capacity by orthonormalizing the principal subspace," in Proceedings of the IEE Artificial Neural Networks Conference, ANN-93, Brighton, UK, May 1993, pp. 86-90.
    • (1993) Proceedings of the IEE Artificial Neural Networks Conference, ANN-93 , pp. 86-90
    • Plumbley, M.D.1
  • 65
    • 0346061389 scopus 로고
    • An information-theoretic approach to unsupervised connectionist models
    • edited by D. Touretzky, G. Hinton, and T. Sejnowski, Morgan-Kaufmann, San Mateo, CA
    • M.D. Plumbley and F. Fallside, "An information-theoretic approach to unsupervised connectionist models," in Proceedings of the 1988 Connectionist Models Summer School, edited by D. Touretzky, G. Hinton, and T. Sejnowski, Morgan-Kaufmann, San Mateo, CA, 1988, pp. 239-245.
    • (1988) Proceedings of the 1988 Connectionist Models Summer School , pp. 239-245
    • Plumbley, M.D.1    Fallside, F.2
  • 66
    • 84956074083 scopus 로고
    • A self-organizing network for principal component analysis
    • J. Rubner and P. Tavan, "A self-organizing network for principal component analysis," Europhysics Letters, vol. 10, pp. 693-698, 1989.
    • (1989) Europhysics Letters , vol.10 , pp. 693-698
    • Rubner, J.1    Tavan, P.2
  • 69
    • 0024883243 scopus 로고
    • Optimal unsupervised learning in a single-layer feedforward neural network
    • T.D. Sanger, "Optimal unsupervised learning in a single-layer feedforward neural network," Neural Networks, vol. 2, pp. 459-473, 1989.
    • (1989) Neural Networks , vol.2 , pp. 459-473
    • Sanger, T.D.1
  • 71
    • 0040422903 scopus 로고
    • Learning factorial codes by predictability minimization
    • J. Schmidhuber, "Learning factorial codes by predictability minimization," Neural Computation, vol. 4, pp. 863-879, 1992.
    • (1992) Neural Computation , vol.4 , pp. 863-879
    • Schmidhuber, J.1
  • 74
    • 84856043672 scopus 로고
    • A mathematical theory of communication
    • C.E. Shannon, "A mathematical theory of communication," Bell System Technical Journal, vol. 27, pp. 379-423, 623-656, 1948.
    • (1948) Bell System Technical Journal , vol.27 , pp. 379-423
    • Shannon, C.E.1
  • 75
    • 25444457432 scopus 로고
    • Application of unsupervised neural networks to the enhancement of polarization targets in dual-polarized radar images
    • A. Ukrainec and S. Haykin, "Application of unsupervised neural networks to the enhancement of polarization targets in dual-polarized radar images," in IEEE Canadian Conference on Electrical and Computer Engineering, 1991.
    • (1991) IEEE Canadian Conference on Electrical and Computer Engineering
    • Ukrainec, A.1    Haykin, S.2
  • 76
    • 0015749493 scopus 로고
    • Self-organization of orientation sensitive cells in striate cortex
    • C. von der Malsburg, "Self-organization of orientation sensitive cells in striate cortex," Kybernetik, vol. 14, pp. 85-100, 1973.
    • (1973) Kybernetik , vol.14 , pp. 85-100
    • Von Der Malsburg, C.1
  • 79
    • 0038397430 scopus 로고
    • Feature discovery through error-correction learning
    • Institute of Cognitive Science, University of California, San Diego
    • R.J. Williams, "Feature discovery through error-correction learning," Institute of Cognitive Science, University of California, San Diego, ICS Report 8501, 1985.
    • (1985) ICS Report 8501
    • Williams, R.J.1
  • 80
    • 0003006472 scopus 로고
    • Developing topographic representations by minimizing description length
    • edited by J.D. Cowan, G. Tesauro, and J. Alspector, Morgan Kaufmann
    • R. Zemel and G.E. Hinton, "Developing topographic representations by minimizing description length," in Advances in Neural Information Processing Systems 6, edited by J.D. Cowan, G. Tesauro, and J. Alspector, Morgan Kaufmann, pp. 11-18, 1994.
    • (1994) Advances in Neural Information Processing Systems 6 , pp. 11-18
    • Zemel, R.1    Hinton, G.E.2
  • 81
    • 0039130148 scopus 로고
    • Discovering viewpoint-invariant relationships that characterize objects
    • edited by R.P. Lippmann, J. E. Moody, and D.S. Touretzky, Morgan Kaufmann Publishers
    • R.S. Zemel and G.E. Hinton, "Discovering viewpoint-invariant relationships that characterize objects," in Advances In Neural Information Processing Systems 3, edited by R.P. Lippmann, J. E. Moody, and D.S. Touretzky, Morgan Kaufmann Publishers, pp. 299-305, 1991.
    • (1991) Advances in Neural Information Processing Systems 3 , pp. 299-305
    • Zemel, R.S.1    Hinton, G.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.