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Volumn 11, Issue 3, 1999, Pages 679-714

Feature extraction through LOCOCODE

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; LEARNING; PHYSIOLOGY; REVIEW; SENSORY NERVE CELL;

EID: 0033114102     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976699300016629     Document Type: Article
Times cited : (55)

References (64)
  • 1
    • 33749754615 scopus 로고    scopus 로고
    • A new learning algorithm for blind signal separation
    • D. S. Touretzky, M. C. Mozer, and M. E.Hasselmo (Eds.), Cambridge, MA: MIT Press
    • Amari, S., Cichocki, A., & Yang, H. (1996). A new learning algorithm for blind signal separation. In D. S. Touretzky, M. C. Mozer, and M. E.Hasselmo (Eds.), Advances in neural information processing systems, 8 (pp. 757-763). Cambridge, MA: MIT Press.
    • (1996) Advances in Neural Information Processing Systems , vol.8 , pp. 757-763
    • Amari, S.1    Cichocki, A.2    Yang, H.3
  • 2
    • 0024774330 scopus 로고
    • Neural networks and principal component analysis: Learning from examples without local minima
    • Baldi, P., & Hornik, K. (1989). Neural networks and principal component analysis: Learning from examples without local minima. Neural Networks, 2, 53-58.
    • (1989) Neural Networks , vol.2 , pp. 53-58
    • Baldi, P.1    Hornik, K.2
  • 7
    • 0039830274 scopus 로고
    • Unsupervised learning procedures for neural networks
    • Becker, S. (1991). Unsupervised learning procedures for neural networks. International Journal of Neural Systems, 2(1 & 2), 17-33.
    • (1991) International Journal of Neural Systems , vol.2 , Issue.1-2 , pp. 17-33
    • Becker, S.1
  • 8
    • 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(6), 1129-1159.
    • (1995) Neural Computation , vol.7 , Issue.6 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 9
    • 0027812550 scopus 로고
    • Blind beamforming for non gaussian signals
    • Cardoso, J.-F., & Souloumiac, A. (1993). Blind beamforming for non Gaussian signals. IEE Proceedings-F, 140(6), 362-370.
    • (1993) IEE Proceedings-F , vol.140 , Issue.6 , pp. 362-370
    • Cardoso, J.-F.1    Souloumiac, A.2
  • 10
    • 0028416938 scopus 로고
    • Independent component analysis - A new concept?
    • Comon, P. (1994). Independent component analysis - A new concept? Signal Processing, 36(3), 287-314.
    • (1994) Signal Processing , vol.36 , Issue.3 , pp. 287-314
    • Comon, P.1
  • 11
    • 0001179408 scopus 로고
    • Competition and multiple cause models
    • Dayan, P., & Zemel, R. (1995). Competition and multiple cause models. Neural Computation, 7, 565-579.
    • (1995) Neural Computation , vol.7 , pp. 565-579
    • Dayan, P.1    Zemel, R.2
  • 13
    • 0000362092 scopus 로고
    • Non-linear dimensionality reduction
    • S. J. Hanson, J. D. Cowan, & C. L. Giles (Eds.), San Mateo, CA: Morgan Kaufmann
    • DeMers, D., & Cottrell, G. (1993). Non-linear dimensionality reduction. In S. J. Hanson, J. D. Cowan, & C. L. Giles (Eds.), Advances in neural information processing systems, 5 (pp. 580-587). San Mateo, CA: Morgan Kaufmann.
    • (1993) Advances in Neural Information Processing Systems , vol.5 , pp. 580-587
    • DeMers, D.1    Cottrell, G.2
  • 14
    • 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, 4, 2379-2394.
    • (1987) Journal of the Optical Society of America , vol.4 , pp. 2379-2394
    • Field, D.J.1
  • 15
    • 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
  • 16
    • 0002717824 scopus 로고    scopus 로고
    • Square unit augmented, radially extended, multilayer perceptrons
    • G. B. Orr & K.-R. Müller (Eds.), Tricks of the trade. Berlin: Springer-Verlag
    • Flake, G. W. (1998). Square unit augmented, radially extended, multilayer perceptrons. In G. B. Orr & K.-R. Müller (Eds.), Tricks of the trade. Berlin: Springer-Verlag. Lecture Notes in Computer Science.
    • (1998) Lecture Notes in Computer Science
    • Flake, G.W.1
  • 17
    • 0025604930 scopus 로고
    • Forming sparse representations by local anti-hebbian learning
    • Földiák, P. (1990). Forming sparse representations by local anti-hebbian learning. Biological Cybernetics, 64, 165-170.
    • (1990) Biological Cybernetics , vol.64 , pp. 165-170
    • Földiák, P.1
  • 18
    • 0001986723 scopus 로고
    • Sparse coding in the primate cortex
    • M. A. Arbib (Ed.), Cambridge, MA: MIT Press
    • Földiák, P., & Young, M. P. (1995). Sparse coding in the primate cortex. In M. A. Arbib (Ed.), The handbook of brain theory and neural networks (pp. 895-898). Cambridge, MA: MIT Press.
    • (1995) The Handbook of Brain Theory and Neural Networks , pp. 895-898
    • Földiák, P.1    Young, M.P.2
  • 19
    • 85153949914 scopus 로고
    • Factorial learning and the EM algorithm
    • G. Tesauro, D. Touretzky, & T. Leen (Eds.), Cambridge, MA: MIT Press
    • Ghahramani, Z. (1995). Factorial learning and the EM algorithm. In G. Tesauro, D. Touretzky, & T. Leen (Eds.), Advances in neural information processing systems, 7 (pp. 617-624). Cambridge, MA: MIT Press.
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 617-624
    • Ghahramani, Z.1
  • 20
    • 0001234705 scopus 로고
    • Second order derivatives for network pruning: Optimal brain surgeon
    • S. J. Hanson, J. D. Cowan, & C. L. Giles (Eds.), San Mateo, CA: Morgan Kaufmann
    • Hassibi, B., & Stork, D. G. (1993). Second order derivatives for network pruning: Optimal brain surgeon. In S. J. Hanson, J. D. Cowan, & C. L. Giles (Eds.), Advances in neural information processing systems, 5 (pp. 164-171). San Mateo, CA: Morgan Kaufmann.
    • (1993) Advances in Neural Information Processing Systems , vol.5 , pp. 164-171
    • Hassibi, B.1    Stork, D.G.2
  • 23
    • 0039238520 scopus 로고    scopus 로고
    • On the merits of topography in neural maps
    • T. Kohonen (Ed.), Helsinki: Helsinki University of Technology
    • Herrmann, M. (1997). On the merits of topography in neural maps. In T. Kohonen (Ed.), Proceedings of the Workshop on Self-Organizing Maps (pp. 112-117). Helsinki: Helsinki University of Technology.
    • (1997) Proceedings of the Workshop on Self-Organizing Maps , pp. 112-117
    • Herrmann, M.1
  • 24
    • 0029652445 scopus 로고
    • The wake-sleep algorithm for unsupervised neural networks
    • Hinton, G. E., Dayan, P., Frey, B. J., & Neal, R. M. (1995). The wake-sleep algorithm for unsupervised neural networks. Science, 268, 1158-1161.
    • (1995) Science , vol.268 , pp. 1158-1161
    • Hinton, G.E.1    Dayan, P.2    Frey, B.J.3    Neal, R.M.4
  • 26
    • 0002834189 scopus 로고
    • Autoencoders, minimum description length and Helmholtz free energy
    • J. D. Cowan, G. Tesauro, & J. Alspector (Eds.), San Mateo, CA: Morgan Kaufmann
    • Hinton, G. E., & Zemel, R. S. (1994). Autoencoders, minimum description length and Helmholtz free energy. In J. D. Cowan, G. Tesauro, & J. Alspector (Eds.), Advances in neural information processing systems, 6 (pp. 3-10). San Mateo, CA: Morgan Kaufmann.
    • (1994) Advances in Neural Information Processing Systems , vol.6 , pp. 3-10
    • Hinton, G.E.1    Zemel, R.S.2
  • 27
    • 0009071609 scopus 로고
    • Simplifying nets by discovering flat minima
    • G. Tesauro, D. S. Touretzky, & T. K. Leen (Eds.), Cambridge, MA: MIT Press
    • Hochreiter, S., & Schmidhuber, J. (1995). Simplifying nets by discovering flat minima. In G. Tesauro, D. S. Touretzky, & T. K. Leen (Eds.), Advances in neural information processing systems, 7, pp. 529-536. Cambridge, MA: MIT Press.
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 529-536
    • Hochreiter, S.1    Schmidhuber, J.2
  • 32
    • 0026191274 scopus 로고
    • Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture
    • Jutten, C., & Herault, J. (1991). Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture. Signal Processing, 24(1), 1-10.
    • (1991) Signal Processing , vol.24 , Issue.1 , pp. 1-10
    • Jutten, C.1    Herault, J.2
  • 34
    • 0026113980 scopus 로고
    • Nonlinear principal component analysis using autoassociative neural networks
    • Kramer, M. (1991). Nonlinear principal component analysis using autoassociative neural networks. AIChE Journal, 37, 233-243.
    • (1991) AIChE Journal , vol.37 , pp. 233-243
    • Kramer, M.1
  • 35
    • 0030585223 scopus 로고
    • A theory of the visual motion coding in the primary visual cortex
    • Li, Z. (1995). A theory of the visual motion coding in the primary visual cortex. Neural Computation, 8(4), 705-730.
    • (1995) Neural Computation , vol.8 , Issue.4 , pp. 705-730
    • Li, Z.1
  • 36
    • 0023981750 scopus 로고
    • Self-organization in a perceptual network
    • Linsker, R. (1988). Self-organization in a perceptual network. IEEE Computer, 21, 105-117.
    • (1988) IEEE Computer , vol.21 , pp. 105-117
    • Linsker, R.1
  • 37
    • 0000302959 scopus 로고
    • Separation of independent signals using time-delayed correlations
    • Molgedey, L., & Schuster, H. G. (1994). Separation of independent signals using time-delayed correlations. Phys. Reviews Letters, 72(23), 3634-3637.
    • (1994) Phys. Reviews Letters , vol.72 , Issue.23 , pp. 3634-3637
    • Molgedey, L.1    Schuster, H.G.2
  • 38
    • 0010371864 scopus 로고
    • Discovering discrete distributed representations with iterative competitive learning
    • R. P. Lippmann, J. E. Moody, & D. S. Touretzky (Eds.), San Mateo, CA: Morgan Kaufmann
    • Mozer, M. C. (1991). Discovering discrete distributed representations with iterative competitive learning. In R. P. Lippmann, J. E. Moody, & D. S. Touretzky (Eds.), Advances in neural information processing systems, 3 (pp. 627-634). San Mateo, CA: Morgan Kaufmann.
    • (1991) Advances in Neural Information Processing Systems , vol.3 , pp. 627-634
    • Mozer, M.C.1
  • 39
    • 0001210842 scopus 로고    scopus 로고
    • Redundancy reduction and independent component analysis: Conditions on cumulants and adaptive approaches
    • Nadal, J.-P., & Parga, N. (1997). Redundancy reduction and independent component analysis: Conditions on cumulants and adaptive approaches. Neural Computation, 9(7), 1421-1456.
    • (1997) Neural Computation , vol.9 , Issue.7 , pp. 1421-1456
    • Nadal, J.-P.1    Parga, N.2
  • 40
    • 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
  • 41
    • 0000621817 scopus 로고
    • Data compression, feature extraction, and autoassociation in feed-forward neural networks
    • T. Kohonen, K. Mäkisara, O. Simula, & J. Kangas (Eds.), Amsterdam: Elsevier Science
    • Oja, E. (1991). Data compression, feature extraction, and autoassociation in feed-forward neural networks. In T. Kohonen, K. Mäkisara, O. Simula, & J. Kangas (Eds.), Artificial neural networks, 1 (pp. 737-745). Amsterdam: Elsevier Science.
    • (1991) Artificial Neural Networks , vol.1 , pp. 737-745
    • Oja, E.1
  • 42
    • 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. (1996). Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 381(6583), 607-609.
    • (1996) Nature , vol.381 , Issue.6583 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 43
    • 0010368495 scopus 로고    scopus 로고
    • Blind source separation using algorithmic information theory
    • C. Fyfe (Ed.), Tenerife, Spain: ICSC Academic Press
    • Pajunen, P. (1998). Blind source separation using algorithmic information theory. In C. Fyfe (Ed.), Proceedings of Independence and Artificial Neural Networks (I&ANN) (pp. 26-31). Tenerife, Spain: ICSC Academic Press.
    • (1998) Proceedings of Independence and Artificial Neural Networks (I&ANN) , pp. 26-31
    • Pajunen, P.1
  • 44
    • 0000377966 scopus 로고
    • On the information storage capacity of local learning rules
    • Palm, G. (1992). On the information storage capacity of local learning rules. Neural Computation, 4(2), 703-711.
    • (1992) Neural Computation , vol.4 , Issue.2 , pp. 703-711
    • Palm, G.1
  • 45
    • 0000878367 scopus 로고
    • Redundancy reduction as a strategy for unsupervised learning
    • Redlich, A. N. (1993). Redundancy reduction as a strategy for unsupervised learning. Neural Computation, 5, 289-304.
    • (1993) Neural Computation , vol.5 , pp. 289-304
    • Redlich, A.N.1
  • 46
    • 0018015137 scopus 로고
    • Modeling by shortest data description
    • Rissanen, J. (1978). Modeling by shortest data description. Automatica, 14, 465-471.
    • (1978) Automatica , vol.14 , pp. 465-471
    • Rissanen, J.1
  • 47
    • 0003838144 scopus 로고
    • Unpublished doctoral dissertation, Trinity Hall and Cambridge University
    • Robinson, A. J. (1989). Dynamic error propagation networks. Unpublished doctoral dissertation, Trinity Hall and Cambridge University.
    • (1989) Dynamic Error Propagation Networks
    • Robinson, A.J.1
  • 48
    • 0001608026 scopus 로고
    • Feature discovery by competitive learning
    • Cambridge, MA: MIT Press
    • Rumelhart, D. E., & Zipser, D. (1986). Feature discovery by competitive learning. In Parallel distributed processing (pp. 151-193). Cambridge, MA: MIT Press.
    • (1986) Parallel Distributed Processing , pp. 151-193
    • Rumelhart, D.E.1    Zipser, D.2
  • 49
    • 0039830273 scopus 로고
    • Unsupervised learning of mixtures of multiple causes in binary data
    • J. D. Cowan, G. Tesauro, & J. Alspector (Eds.), San Mateo, CA: Morgan Kaufmann
    • Saund, E. (1994). Unsupervised learning of mixtures of multiple causes in binary data. In J. D. Cowan, G. Tesauro, & J. Alspector (Eds.), Advances in neural information processing systems, 6 (pp. 27-34). San Mateo, CA: Morgan Kaufmann.
    • (1994) Advances in Neural Information Processing Systems , vol.6 , pp. 27-34
    • Saund, E.1
  • 50
    • 0003040479 scopus 로고
    • A multiple cause mixture model for unsupervised learning
    • Saund, E. (1995). A multiple cause mixture model for unsupervised learning. Neural Computation, 7(1), 51-71.
    • (1995) Neural Computation , vol.7 , Issue.1 , pp. 51-71
    • Saund, E.1
  • 51
    • 0040422903 scopus 로고
    • Learning factorial codes by predictability minimization
    • Schmidhuber, J. (1992). Learning factorial codes by predictability minimization. Neural Computation, 4(6), 863-879.
    • (1992) Neural Computation , vol.4 , Issue.6 , pp. 863-879
    • Schmidhuber, J.1
  • 52
    • 0031194381 scopus 로고    scopus 로고
    • Discovering neural nets with low Kolmogorov complexity and high generalization capability
    • Schmidhuber, J. (1997a). Discovering neural nets with low Kolmogorov complexity and high generalization capability. Neural Networks, 10(5), 857-873.
    • (1997) Neural Networks , vol.10 , Issue.5 , pp. 857-873
    • Schmidhuber, J.1
  • 54
    • 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
  • 55
    • 0009305378 scopus 로고
    • Discovering predictable classifications
    • Schmidhuber, J., & Prelinger, D. (1993). Discovering predictable classifications. Neural Computation, 5(4), 625-635.
    • (1993) Neural Computation , vol.5 , Issue.4 , pp. 625-635
    • Schmidhuber, J.1    Prelinger, D.2
  • 56
    • 0040422904 scopus 로고    scopus 로고
    • On centering neural network weight updates
    • G. B. Orr & K.-R. Müller (Eds.), Berlin: Springer-Verlag
    • Schraudolph, N. N. (1998). On centering neural network weight updates. In G. B. Orr & K.-R. Müller (Eds.), Tricks of the trade. Berlin: Springer-Verlag.
    • (1998) Tricks of the Trade
    • Schraudolph, N.N.1
  • 57
    • 0041016997 scopus 로고
    • Unsupervised discrimination of clustered data via optimization of binary information gain
    • S. J. Hanson, J. D. Cowan, & C. L. Giles (Eds.), San Mateo, CA: Morgan Kaufmann
    • Schraudolph, N. N., & Sejnowski, T. J. (1993). Unsupervised discrimination of clustered data via optimization of binary information gain. In S. J. Hanson, J. D. Cowan, & C. L. Giles (Eds.), Advances in neural information processing systems, 5 (pp. 499-506). San Mateo, CA: Morgan Kaufmann.
    • (1993) Advances in Neural Information Processing Systems , vol.5 , pp. 499-506
    • Schraudolph, N.N.1    Sejnowski, T.J.2
  • 58
    • 4544279425 scopus 로고
    • A formal theory of inductive inference. Part I
    • Solomonoff, R. (1964). A formal theory of inductive inference. Part I. Information and Control, 7, 1-22.
    • (1964) Information and Control , vol.7 , pp. 1-22
    • Solomonoff, R.1
  • 59
    • 84898978567 scopus 로고    scopus 로고
    • Separating style and content
    • M. C. Mozer, M. I. Jordan, & T. Petsche (Eds.), Cambridge, MA: MIT Press
    • Tenenbaum, J. B., & Freeman, W. T. (1997). Separating style and content. In M. C. Mozer, M. I. Jordan, & T. Petsche (Eds.), Advances in neural information processing systems, 9 (pp. 662-668). Cambridge, MA: MIT Press.
    • (1997) Advances in Neural Information Processing Systems , vol.9 , pp. 662-668
    • Tenenbaum, J.B.1    Freeman, W.T.2
  • 60
    • 84946559828 scopus 로고
    • Exploiting context when learning to classify
    • Turney, P. D. (1993). Exploiting context when learning to classify. In Proceedings of the European Conference on Machine Learning (pp. 402-407). Available from: ftp://ai.iit.nrc.ca/pub/ksl-papers/NRC-35058.ps.Z.
    • (1993) Proceedings of the European Conference on Machine Learning , pp. 402-407
    • Turney, P.D.1
  • 61
    • 0000107517 scopus 로고
    • An information theoretic measure for classification
    • Wallace, C. S., & Boulton, D. M. (1968). An information theoretic measure for classification. Computer Journal, 11(2), 185-194.
    • (1968) Computer Journal , vol.11 , Issue.2 , pp. 185-194
    • Wallace, C.S.1    Boulton, D.M.2
  • 64
    • 0003006472 scopus 로고
    • Developing population codes by minimizing description length
    • J. D. Cowan, G. Tesauro, & J. Alspector (Eds.), San Mateo, CA: Morgan Kaufmann
    • Zemel, R. S., & Hinton, G. E. (1994). Developing population codes by minimizing description length. In J. D. Cowan, G. Tesauro, & J. Alspector (Eds.), Advances in neural information processing systems, 6 (pp. 11-18). San Mateo, CA: Morgan Kaufmann.
    • (1994) Advances in Neural Information Processing Systems , vol.6 , pp. 11-18
    • Zemel, R.S.1    Hinton, G.E.2


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