메뉴 건너뛰기




Volumn 82, Issue 12, 2002, Pages 1949-1961

Separation of independent components from data mixed by several mixing matrices

Author keywords

High order moment; ICA mixture model; Independent component analysis

Indexed keywords

ALGORITHMS; MATHEMATICAL MODELS; MATRIX ALGEBRA; MAXIMUM LIKELIHOOD ESTIMATION; MIXER CIRCUITS; PROBABILITY DENSITY FUNCTION;

EID: 0036887837     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-1684(02)00197-4     Document Type: Article
Times cited : (9)

References (21)
  • 1
    • 0000396062 scopus 로고    scopus 로고
    • Natural gradient works efficiently in learning
    • Amari S. Natural gradient works efficiently in learning. Neural Computation. 10:1998;251-276.
    • (1998) Neural Computation , vol.10 , pp. 251-276
    • Amari, S.1
  • 2
    • 0031271273 scopus 로고    scopus 로고
    • Blind source separation - Semiparametric statistical approach
    • Amari S., Cardoso J.-F. Blind source separation - semiparametric statistical approach. IEEE Trans. Signal Process. 45:1997;2692-2700.
    • (1997) IEEE Trans. Signal Process. , vol.45 , pp. 2692-2700
    • Amari, S.1    Cardoso, J.-F.2
  • 3
    • 0031277419 scopus 로고    scopus 로고
    • Stability analysis of learning algorithms for blind source separation
    • Amari S., Chen T., Cichocki A. Stability analysis of learning algorithms for blind source separation. Neural Networks. 10:1997;1345-1351.
    • (1997) Neural Networks , vol.10 , pp. 1345-1351
    • Amari, S.1    Chen, T.2    Cichocki, A.3
  • 4
    • 0033878613 scopus 로고    scopus 로고
    • Blind signal separation in teleconferencing using ICA mixture model
    • Bae U.-M., Lee T.-W., Lee S.-Y. Blind signal separation in teleconferencing using ICA mixture model. Electron. Lett. 36:2000;680-682.
    • (2000) Electron. Lett. , vol.36 , pp. 680-682
    • Bae, U.-M.1    Lee, T.-W.2    Lee, S.-Y.3
  • 5
    • 0029411030 scopus 로고
    • An information-maximization approach to blind separation and blind deconvolution
    • Bell A.J., Sejnowski T.J. An information-maximization approach to blind separation and blind deconvolution. Neural Computation. 7:1995;1129-1159.
    • (1995) Neural Computation , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 6
    • 0030832881 scopus 로고    scopus 로고
    • The "independent components" of natural scenes are edge filters
    • Bell A.J., Sejnowski T.J. The "independent components" of natural scenes are edge filters. Vision Res. 37:1997;3327-3338.
    • (1997) Vision Res. , vol.37 , pp. 3327-3338
    • Bell, A.J.1    Sejnowski, T.J.2
  • 7
    • 0032612381 scopus 로고    scopus 로고
    • High-order contrasts for independent component analysis
    • Cardoso J.-F. High-order contrasts for independent component analysis. Neural Computation. 11:1999;157-192.
    • (1999) Neural Computation , vol.11 , pp. 157-192
    • Cardoso, J.-F.1
  • 8
    • 0032212795 scopus 로고    scopus 로고
    • Robust techniques for independent component analysis with noisy data
    • Cichocki A., Douglas S.C., Amari S. Robust techniques for independent component analysis with noisy data. Neurocomputing. 22:1998;113-129.
    • (1998) Neurocomputing , vol.22 , pp. 113-129
    • Cichocki, A.1    Douglas, S.C.2    Amari, S.3
  • 9
    • 0008334021 scopus 로고
    • Conditional likelihood and unconditional optimum estimating equations
    • Godambe V.P. Conditional likelihood and unconditional optimum estimating equations. Biometrika. 63:1976;277-284.
    • (1976) Biometrika , vol.63 , pp. 277-284
    • Godambe, V.P.1
  • 10
    • 0034243798 scopus 로고    scopus 로고
    • Properties of basis functions generated by shift invariant sparse representations of natural images
    • Hashimoto W., Kurata K. Properties of basis functions generated by shift invariant sparse representations of natural images. Biol. Cybernet. 83:2000;111-118.
    • (2000) Biol. Cybernet. , vol.83 , pp. 111-118
    • Hashimoto, W.1    Kurata, K.2
  • 11
    • 0344505705 scopus 로고    scopus 로고
    • Independent component analysis in the presence of Gaussian noise by maximizing joint likelihood
    • Hyvärinen A. Independent component analysis in the presence of Gaussian noise by maximizing joint likelihood. Neurocomputing. 22:1998;49-67.
    • (1998) Neurocomputing , vol.22 , pp. 49-67
    • Hyvärinen, A.1
  • 12
    • 0041324208 scopus 로고    scopus 로고
    • Gaussian moments for noisy independent component analysis
    • Hyvärinen A. Gaussian moments for noisy independent component analysis. IEEE Signal Process. Lett. 6:1999;145-147.
    • (1999) IEEE Signal Process. Lett. , vol.6 , pp. 145-147
    • Hyvärinen, A.1
  • 13
    • 0034222304 scopus 로고    scopus 로고
    • Emergence of phase- and shift-invariant features by decomposition of natural images into independent feature subspaces
    • Hyvärinen A., Hoyer P. Emergence of phase- and shift-invariant features by decomposition of natural images into independent feature subspaces. Neural Computation. 12:2000;1705-1720.
    • (2000) Neural Computation , vol.12 , pp. 1705-1720
    • Hyvärinen, A.1    Hoyer, P.2
  • 14
  • 17
    • 84899004910 scopus 로고    scopus 로고
    • Unsupervised classification with non-Gaussian mixture models using ICA
    • MIT Press, Cambridge, MA
    • T.-W. Lee, M.S. Lewicki, T.J. Sejnowski, Unsupervised classification with non-Gaussian mixture models using ICA, in: Advances in Neural Information Processing Systems, Vol. 11, MIT Press, Cambridge, MA, 1999b, pp. 508-514.
    • (1999) Advances in Neural Information Processing Systems , vol.11 , pp. 508-514
    • Lee, T.-W.1    Lewicki, M.S.2    Sejnowski, T.J.3
  • 18
    • 0034290916 scopus 로고    scopus 로고
    • ICA mixture models for unsupervised classification of non-Gaussian classes and automatic context switching in blind signal separation
    • Lee T.-W., Lewicki M.S., Sejnowski T.J. ICA mixture models for unsupervised classification of non-Gaussian classes and automatic context switching in blind signal separation. IEEE Trans. Pattern Anal. Machine Intell. 22:2000;1078-1089.
    • (2000) IEEE Trans. Pattern Anal. Machine Intell. , vol.22 , pp. 1078-1089
    • Lee, T.-W.1    Lewicki, M.S.2    Sejnowski, T.J.3
  • 19
    • 0030931604 scopus 로고    scopus 로고
    • Blind separation of auditory event-related brain responses into independent components
    • Makeig S., Jung T.-P., Bell A.J., Ghahremani D., Sejnowski T.J. Blind separation of auditory event-related brain responses into independent components. Proc. Natl. Acad. Sci. 94:1997;10,979-10,984.
    • (1997) Proc. Natl. Acad. Sci. , vol.94 , pp. 10979-10984
    • Makeig, S.1    Jung, T.-P.2    Bell, A.J.3    Ghahremani, D.4    Sejnowski, T.J.5
  • 21
    • 0031191456 scopus 로고    scopus 로고
    • Blind separation of mixture of independent sources through a quasi-maximum likelihood approach
    • Pham D.T., Garat P. Blind separation of mixture of independent sources through a quasi-maximum likelihood approach. IEEE Trans. Signal Process. 45:1997;1712-1725.
    • (1997) IEEE Trans. Signal Process. , vol.45 , pp. 1712-1725
    • Pham, D.T.1    Garat, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.