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Volumn 8, Issue 3, 1997, Pages 486-504

A class of neural networks for independent component analysis

Author keywords

Blind source separation; Independent component analysis; Neural networks; Principal component analysis; Signal processing; Unsupervised learning

Indexed keywords

IMAGE SEGMENTATION; LEARNING ALGORITHMS; STATISTICAL METHODS; VECTORS;

EID: 0031139249     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.572090     Document Type: Article
Times cited : (328)

References (53)
  • 1
    • 33749754615 scopus 로고    scopus 로고
    • A new learning algorithm for blind signal separation
    • D. S. Touretzky et al., Eds. Cambridge, MA: MIT Press
    • S. Amari, A. Cichocki, and H. Yang, "A new learning algorithm for blind signal separation," in Advances in Neural Information Processing Systems 8, D. S. Touretzky et al., Eds. Cambridge, MA: MIT Press, 1996, pp. 757-763.
    • (1996) Advances in Neural Information Processing Systems 8 , pp. 757-763
    • Amari, S.1    Cichocki, A.2    Yang, H.3
  • 2
    • 0024774330 scopus 로고
    • Neural networks for principal component analysis: Learning from examples without local minima
    • P. Baldi and K. Hornik, "Neural networks for 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
  • 3
    • 0029343566 scopus 로고
    • Learning in linear neural networks: A survey
    • _, "Learning in linear neural networks: A survey," IEEE Trans. Neural Networks, vol. 6, pp. 837-858, 1995.
    • (1995) IEEE Trans. Neural Networks , vol.6 , pp. 837-858
  • 4
    • 0029411030 scopus 로고
    • An information-maximization approach to blind separation and blind deconvolution
    • A. Bell and T. Sejnowski, "An information-maximization approach to blind separation and blind deconvolution," Neural Computa., vol. 7, pp. 1129-1159, 1995.
    • (1995) Neural Computa. , vol.7 , pp. 1129-1159
    • Bell, A.1    Sejnowski, T.2
  • 5
    • 0000147501 scopus 로고    scopus 로고
    • Learning the higher order structure of a natural sound
    • _, "Learning the higher order structure of a natural sound," Network: Computa. Neural Syst., vol. 7, pp. 261-267, 1996.
    • (1996) Network: Computa. Neural Syst. , vol.7 , pp. 261-267
  • 6
    • 84899029542 scopus 로고    scopus 로고
    • Edges are the independent components of natural scenes
    • Cambridge, MA: MIT Press
    • _, "Edges are the independent components of natural scenes," to appear in Advances in Neural Information Processing Systems 9. Cambridge, MA: MIT Press, 1997.
    • (1997) Advances in Neural Information Processing Systems 9
  • 7
    • 0026954957 scopus 로고
    • Blind separation of sources: A nonlinear neural algorithm
    • G. Burel, "Blind separation of sources: A nonlinear neural algorithm," Neural Networks, vol. 5, pp. 937-947, 1992.
    • (1992) Neural Networks , vol.5 , pp. 937-947
    • Burel, G.1
  • 8
    • 0027850129 scopus 로고
    • Neural networks for array processing: From DOA estimation to blind separation of sources
    • Le Touquet, France, Oct.
    • G. Burel and N. Rondel, "Neural networks for array processing: From DOA estimation to blind separation of sources," in Proc. 1993 IEEE Int. Conf. Syst., Man, Cybern., Le Touquet, France, Oct. 1993, pp. 601-606.
    • (1993) Proc. 1993 IEEE Int. Conf. Syst., Man, Cybern. , pp. 601-606
    • Burel, G.1    Rondel, N.2
  • 9
    • 0030417779 scopus 로고    scopus 로고
    • Equivariant adaptive source separation
    • Dec.
    • J.-F. Cardoso and B. Laheld, "Equivariant adaptive source separation," IEEE Trans. Signal Processing, vol. 44, pp. 3017-3030, Dec. 1996.
    • (1996) IEEE Trans. Signal Processing , vol.44 , pp. 3017-3030
    • Cardoso, J.-F.1    Laheld, B.2
  • 11
    • 0002672258 scopus 로고
    • Multilayer neural networks with a local adaptive learning rule for blind separation of source signals
    • Las Vegas, NV, Dec.
    • A. Cichocki, W. Kasprzak, and S. Amari, "Multilayer neural networks with a local adaptive learning rule for blind separation of source signals," in Proc. 1995 Int. Symp. Nonlinear Theory Applicat., NOLTA-95, Las Vegas, NV, vol. 1, Dec. 1995, pp. 61-66.
    • (1995) Proc. 1995 Int. Symp. Nonlinear Theory Applicat., NOLTA-95 , vol.1 , pp. 61-66
    • Cichocki, A.1    Kasprzak, W.2    Amari, S.3
  • 12
  • 13
    • 0028416938 scopus 로고
    • Independent component analysis - A new concept?
    • _, "Independent component analysis - A new concept?," Signal Processing, vol. 36, pp. 287-314, 1994.
    • (1994) Signal Processing , vol.36 , pp. 287-314
  • 16
    • 84950754164 scopus 로고
    • Exploratory projection pursuit
    • Mar.
    • J. Friedman, "Exploratory projection pursuit," J. Amer. Statist. Assoc., vol. 82, no. 397, pp. 249-266, Mar. 1987.
    • (1987) J. Amer. Statist. Assoc. , vol.82 , Issue.397 , pp. 249-266
    • Friedman, J.1
  • 17
    • 0000006342 scopus 로고
    • Nonlinear data structure extraction using simple Hebbian networks
    • C. Fyfe and R. Baddeley, "Nonlinear data structure extraction using simple Hebbian networks," Biol. Cybern., vol. 72, pp. 533-541, 1995.
    • (1995) Biol. Cybern. , vol.72 , pp. 533-541
    • Fyfe, C.1    Baddeley, R.2
  • 19
    • 0001877182 scopus 로고
    • Détection de grandeur primitives dans un message composite par une architecture de calcul neuromimétique en apprentissage nonsupervisé
    • Nice, France, May in French
    • J. Herault, C. Jutten, and B. Ans, "Détection de grandeur primitives dans un message composite par une architecture de calcul neuromimétique en apprentissage nonsupervisé, " in Proc. GRETSI Conference, Nice, France, May 1985, pp. 1017-1022, in French.
    • (1985) Proc. GRETSI Conference , pp. 1017-1022
    • Herault, J.1    Jutten, C.2    Ans, B.3
  • 20
    • 0000263797 scopus 로고
    • Projection pursuit
    • P. Huber, "Projection pursuit," Ann. Statist., vol. 13, no. 2, pp. 435-475, 1985.
    • (1985) Ann. Statist. , vol.13 , Issue.2 , pp. 435-475
    • Huber, P.1
  • 22
  • 25
    • 0001547599 scopus 로고
    • Independent components analysis (INCA) versus principal components analysis
    • J. Lacoume et al., Eds. Amsterdam, The Netherlands: Elsevier
    • C. Jutten and J. Herault, "Independent components analysis (INCA) versus principal components analysis," in Signal Processing IV: Theories and Applications, Proc. EUSIPCO-88, J. Lacoume et al., Eds. Amsterdam, The Netherlands: Elsevier, 1988, pp. 643-646.
    • (1988) Signal Processing IV: Theories and Applications, Proc. EUSIPCO-88 , pp. 643-646
    • Jutten, C.1    Herault, J.2
  • 26
    • 0026191274 scopus 로고
    • Blind separation of sources, Part I: An adaptive algorithm based on neuromimetic architecture
    • July
    • _, "Blind separation of sources, Part I: An adaptive algorithm based on neuromimetic architecture," Signal Processing, vol. 24, no. 1, pp. 1-10, July 1991.
    • (1991) Signal Processing , vol.24 , Issue.1 , pp. 1-10
  • 27
    • 0028272776 scopus 로고
    • Representation and separation of signals using nonlinear PCA type learning
    • J. Karhunen and J. Joutsensalo, "Representation and separation of signals using nonlinear PCA type learning," Neural Networks, vol. 7, no. 1, pp. 113-127, 1994.
    • (1994) Neural Networks , vol.7 , Issue.1 , pp. 113-127
    • Karhunen, J.1    Joutsensalo, J.2
  • 28
    • 0028752570 scopus 로고
    • Optimization criteria and nonlinear PCA neural networks
    • Orlando, FL, June
    • J. Karhunen, "Optimization criteria and nonlinear PCA neural networks," in Proc. 1994 IEEE Int. Conf. Neural Networks, Orlando, FL, June 1994, pp. 1241-1246.
    • (1994) Proc. 1994 IEEE Int. Conf. Neural Networks , pp. 1241-1246
    • Karhunen, J.1
  • 29
    • 0000560911 scopus 로고
    • Stability of Oja's PCA subspace rule
    • _, "Stability of Oja's PCA subspace rule," Neural Computa., vol. 6, pp. 739-747, 1994.
    • (1994) Neural Computa. , vol.6 , pp. 739-747
  • 30
    • 0029061996 scopus 로고
    • Generalizations of principal component analysis, optimization problems, and neural networks
    • J. Karhunen and J. Joutsensalo, "Generalizations of principal component analysis, optimization problems, and neural networks," Neural Networks, vol. 8, no. 4, pp. 549-562, 1995.
    • (1995) Neural Networks , vol.8 , Issue.4 , pp. 549-562
    • Karhunen, J.1    Joutsensalo, J.2
  • 31
    • 0002580546 scopus 로고    scopus 로고
    • Neural approaches to independent component analysis and source separation
    • Bruges, Belgium, Apr.
    • J. Karhunen, "Neural approaches to independent component analysis and source separation," in Proc. 4th European Symp. Artificial Neural Networks, ESANN'96, Bruges, Belgium, Apr. 1996, pp. 249-266.
    • (1996) Proc. 4th European Symp. Artificial Neural Networks, ESANN'96 , pp. 249-266
    • Karhunen, J.1
  • 34
    • 33747777698 scopus 로고
    • Hardware implementations of PCA neural networks
    • I. Aleksander and J. Taylor, Eds. Amsterdam, The Netherlands: North-Holland
    • P. Kotilainen, J. Saarinen, and K. Kaski, "Hardware implementations of PCA neural networks," in Artificial Neural Networks, in Proc. ICANN-92, I. Aleksander and J. Taylor, Eds. Amsterdam, The Netherlands: North-Holland, vol. 2, 1992, pp. 1427-1430.
    • (1992) Artificial Neural Networks, in Proc. ICANN-92 , vol.2 , pp. 1427-1430
    • Kotilainen, P.1    Saarinen, J.2    Kaski, K.3
  • 35
    • 0002449489 scopus 로고
    • Adaptive source separation with uniform performance
    • M. Holt et al., Eds. Lausanne, Switzerland: EURASIP
    • B. Laheld and J.-F. Cardoso, "Adaptive source separation with uniform performance," in Signal Processing VII: Theories and Applications Proc. EUSIPCO-94, M. Holt et al., Eds. Lausanne, Switzerland: EURASIP, vol. 2, 1994, pp. 183-186.
    • (1994) Signal Processing VII: Theories and Applications Proc. EUSIPCO-94 , vol.2 , pp. 183-186
    • Laheld, B.1    Cardoso, J.-F.2
  • 36
    • 0029064164 scopus 로고
    • A neural net for blind separation of nonstationary signals
    • K. Matsuoka, M. Ohya, and M. Kawamoto, "A neural net for blind separation of nonstationary signals," Neural Networks, vol. 8, no. 3, pp. 411-419, 1995.
    • (1995) Neural Networks , vol.8 , Issue.3 , pp. 411-419
    • Matsuoka, K.1    Ohya, M.2    Kawamoto, M.3
  • 37
    • 84991704154 scopus 로고
    • New self-adaptive algorithms for source separation based on contrast functions
    • Lake Tahoe, NV, June
    • E. Moreau and O. Macchi, "New self-adaptive algorithms for source separation based on contrast functions," in Proc. IEEE Signal Proc. Wkshp. Higher Order Statistics, Lake Tahoe, NV, June 1993, pp. 215-219.
    • (1993) Proc. IEEE Signal Proc. Wkshp. Higher Order Statistics , pp. 215-219
    • Moreau, E.1    Macchi, O.2
  • 38
    • 0020464111 scopus 로고
    • A simplified neuron model as a principal components analyzer
    • E. Oja, "A simplified neuron model as a principal components analyzer," J. Math. Biol., vol. 15, pp. 267-273, 1982.
    • (1982) J. Math. Biol. , vol.15 , pp. 267-273
    • Oja, E.1
  • 40
    • 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," J. Math. Anal. Applicat., vol. 106, pp. 69-84, 1985.
    • (1985) J. Math. Anal. Applicat. , vol.106 , pp. 69-84
    • Oja, E.1    Karhunen, J.2
  • 41
    • 0003168213 scopus 로고
    • Learning in nonlinear constrained Hebbian networks
    • T. Kohonen et al., Eds. Amsterdam, The Netherlands: North-Holland
    • E. Oja, H. Ogawa, and J. Wangviwattana, "Learning in nonlinear constrained Hebbian networks," in Artificial Neural Networks Proc. ICANN-91, T. Kohonen et al., Eds. Amsterdam, The Netherlands: North-Holland, 1991, pp. 385-390.
    • (1991) Artificial Neural Networks Proc. ICANN-91 , pp. 385-390
    • Oja, E.1    Ogawa, H.2    Wangviwattana, J.3
  • 42
    • 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
  • 44
    • 0011755938 scopus 로고
    • Networks for the separation of sources that are superimposed and delayed
    • J. Moody et al., Eds. San Mateo, CA: Morgan Kaufmann
    • J. Platt and F. Faggin, "Networks for the separation of sources that are superimposed and delayed," in Advances in Neural Information Processing Systems 4, J. Moody et al., Eds. San Mateo, CA: Morgan Kaufmann, 1991, pp. 730-737.
    • (1991) Advances in Neural Information Processing Systems 4 , pp. 730-737
    • Platt, J.1    Faggin, F.2
  • 45
    • 0027287094 scopus 로고
    • A Hebbian/anti-Hebbian network which optimizes information capacity by orthonormalizing the principal subspace
    • Brighton, U.K., May
    • M. Plumbley, "A Hebbian/anti-Hebbian network which optimizes information capacity by orthonormalizing the principal subspace," in Proc. IEE Conf. Artificial Neural Networks, Brighton, U.K., May 1993, pp. 86-90.
    • (1993) Proc. IEE Conf. Artificial Neural Networks , pp. 86-90
    • Plumbley, M.1
  • 46
    • 0027246978 scopus 로고
    • Efficient information transfer and anti-Hebbian neural networks
    • _, "Efficient information transfer and anti-Hebbian neural networks," Neural Networks, vol. 6, pp. 823-833, 1993.
    • (1993) Neural Networks , vol.6 , pp. 823-833
  • 47
    • 0344060609 scopus 로고
    • A distributed solution for data orthonormalization
    • T. Kohonen et al., Eds. Amsterdam, The Netherlands: North-Holland
    • F. Silva and L. Almeida, "A distributed solution for data orthonormalization," in Artificial Neural Networks Proc. ICANN-91, T. Kohonen et al., Eds. Amsterdam, The Netherlands: North-Holland, 1991, pp. 943-948.
    • (1991) Artificial Neural Networks Proc. ICANN-91 , pp. 943-948
    • Silva, F.1    Almeida, L.2
  • 48
    • 77956938350 scopus 로고
    • Information theory and neural networks
    • J. Taylor, Ed. Ams-terdam, The Netherlands: Elsevier
    • J. Taylor and M. Plumbley, "Information theory and neural networks," in Mathematical Approaches to Neural Networks, J. Taylor, Ed. Ams-terdam, The Netherlands: Elsevier, 1993, pp. 307-340.
    • (1993) Mathematical Approaches to Neural Networks , pp. 307-340
    • Taylor, J.1    Plumbley, M.2
  • 50
    • 0029723365 scopus 로고    scopus 로고
    • Blind separation of convolved sources based on information maximization
    • Kyoto, Japan, Sept.
    • K. Torkkola, "Blind separation of convolved sources based on information maximization," in Proc. IEEE Wkshp. Neural Networks Signal Processing, Kyoto, Japan, Sept. 1996, pp. 423-432.
    • (1996) Proc. IEEE Wkshp. Neural Networks Signal Processing , pp. 423-432
    • Torkkola, K.1
  • 52
    • 0030094135 scopus 로고    scopus 로고
    • A unified neural bigradient algorithm for robust PCA and MCA
    • L. Wang and J. Karhunen, "A unified neural bigradient algorithm for robust PCA and MCA," Int. J. Neural Syst., vol. 7, pp. 53-67, 1996.
    • (1996) Int. J. Neural Syst. , vol.7 , pp. 53-67
    • Wang, L.1    Karhunen, J.2
  • 53
    • 0029487327 scopus 로고
    • A bigradient optimization approach for robust PCA, MCA, and source separation
    • Perth, Australia, Nov.
    • L. Wang, J. Karhunen, and E. Oja, "A bigradient optimization approach for robust PCA, MCA, and source separation," in Proc. 1995 IEEE Int. Conf. Neural Networks, Perth, Australia, Nov. 1995, pp. 1684-1689.
    • (1995) Proc. 1995 IEEE Int. Conf. Neural Networks , pp. 1684-1689
    • Wang, L.1    Karhunen, J.2    Oja, E.3


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