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Volumn 3, Issue , 2004, Pages 2169-2174

Approximating nonlinear transformations of probability distributions for nonlinear independent component analysis

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; BLIND SOURCE SEPARATION; LEARNING ALGORITHMS; MATHEMATICAL TRANSFORMATIONS; MULTILAYER NEURAL NETWORKS; PARAMETER ESTIMATION; PROBABILITY DISTRIBUTIONS;

EID: 10844294195     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (19)

References (13)
  • 1
    • 0033561886 scopus 로고    scopus 로고
    • Independent factor analysis
    • H. Attias, "Independent factor analysis," Neural Computation, vol. 11, no. 4, pp. 803-851, 1999.
    • (1999) Neural Computation , vol.11 , Issue.4 , pp. 803-851
    • Attias, H.1
  • 3
    • 0002741125 scopus 로고    scopus 로고
    • Ensemble learning for blind source separation
    • S. Roberts and R. Everson, Eds. Cambridge University Press
    • J. Miskin and D. J. C. MacKay, "Ensemble learning for blind source separation," in Independent Component Analysis: Principles and Practice, S. Roberts and R. Everson, Eds. Cambridge University Press, 2001, pp. 209-233.
    • (2001) Independent Component Analysis: Principles and Practice , pp. 209-233
    • Miskin, J.1    MacKay, D.J.C.2
  • 4
    • 0041667094 scopus 로고    scopus 로고
    • ICA: Model order selection and dynamic source models
    • S. Roberts and R. Everson, Eds. Cambridge University Press
    • W. Penny, R. Everson, and S. Roberts, "ICA: model order selection and dynamic source models," in Independent Component Analysis: Principles and Practice, S. Roberts and R. Everson, Eds. Cambridge University Press, 2001, pp. 299-314.
    • (2001) Independent Component Analysis: Principles and Practice , pp. 299-314
    • Penny, W.1    Everson, R.2    Roberts, S.3
  • 5
    • 0002144623 scopus 로고    scopus 로고
    • Bayesian nonlinear independent component analysis by multi-layer perceptrons
    • M. Girolami, Ed. Berlin: Springer-Verlag
    • H. Lappalainen and A. Honkela, "Bayesian nonlinear independent component analysis by multi-layer perceptrons," in Advances in Independent Component Analysis, M. Girolami, Ed. Berlin: Springer-Verlag, 2000, pp. 93-121.
    • (2000) Advances in Independent Component Analysis , pp. 93-121
    • Lappalainen, H.1    Honkela, A.2
  • 6
    • 0038132747 scopus 로고    scopus 로고
    • An unsupervised ensemble learning method for nonlinear dynamic state-space models
    • H. Valpola and J. Karhunen, "An unsupervised ensemble learning method for nonlinear dynamic state-space models," Neural Computation, vol. 14, no. 11, pp. 2647-2692, 2002.
    • (2002) Neural Computation , vol.14 , Issue.11 , pp. 2647-2692
    • Valpola, H.1    Karhunen, J.2
  • 11
    • 0001596032 scopus 로고    scopus 로고
    • Delayed curse of dimension for Gaussian integration
    • F. Curbera, "Delayed curse of dimension for Gaussian integration," Journal of Complexity, vol. 16, no. 2, pp. 474-506, 2000.
    • (2000) Journal of Complexity , vol.16 , Issue.2 , pp. 474-506
    • Curbera, F.1
  • 12
    • 0003712010 scopus 로고    scopus 로고
    • A general method for approximating non-linear transformations of probability distributions
    • Robotics Research Group, Department of Engineering Science, University of Oxford
    • S. Julier and J. K. Uhlmann, "A general method for approximating non-linear transformations of probability distributions," Robotics Research Group, Department of Engineering Science, University of Oxford, Tech. Rep., 1996.
    • (1996) Tech. Rep.
    • Julier, S.1    Uhlmann, J.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.