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Volumn 1, Issue , 2004, Pages 41-46

Trust-region learning for ICA

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; INDEPENDENT COMPONENT ANALYSIS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION;

EID: 10944233600     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (12)
  • 1
    • 0001964033 scopus 로고    scopus 로고
    • Extended quasi-Newton method for the ICA
    • Helsinki, Finland
    • T. Akuzawa, "Extended quasi-Newton method for the ICA," in Proc. ICA, Helsinki, Finland, 2000, pp. 521-525.
    • (2000) Proc. ICA , pp. 521-525
    • Akuzawa, T.1
  • 2
    • 0032528695 scopus 로고    scopus 로고
    • Blind source separation and deconvolution: The dynamic component analysis algorithms
    • H. Attias and C. E. Schreiner, "Blind source separation and deconvolution: The dynamic component analysis algorithms," Neural Computation, vol. 10, pp. 1373-1424, 1998.
    • (1998) Neural Computation , vol.10 , pp. 1373-1424
    • Attias, H.1    Schreiner, C.E.2
  • 3
    • 0031122399 scopus 로고    scopus 로고
    • Infomax and maximum likelihood for source separation
    • Apr.
    • J. F. Cardoso, "Infomax and maximum likelihood for source separation," IEEE Signal Processing Letters, vol. 4, no. 4, pp. 112-114, Apr. 1997.
    • (1997) IEEE Signal Processing Letters , vol.4 , Issue.4 , pp. 112-114
    • Cardoso, J.F.1
  • 4
    • 84904329482 scopus 로고    scopus 로고
    • Correlation matching approach to source sepration in the presence of spatially correlated noise
    • Kuala-Lumpur, Malaysia
    • S. Choi and A. Cichocki, "Correlation matching approach to source sepration in the presence of spatially correlated noise," in Proc. IEEE ISSPA, Kuala-Lumpur, Malaysia, 2001.
    • (2001) Proc. IEEE ISSPA
    • Choi, S.1    Cichocki, A.2
  • 8
    • 0141571510 scopus 로고    scopus 로고
    • Membership scoring via independent feature subspace analysis for grouping co-expressed genes
    • Portland, Oregon
    • H. Kim, S. Choi, and S. Bang, "Membership scoring via independent feature subspace analysis for grouping co-expressed genes," in Proc. IJCNN, Portland, Oregon, 2003.
    • (2003) Proc. IJCNN
    • Kim, H.1    Choi, S.2    Bang, S.3
  • 9
    • 0036166753 scopus 로고    scopus 로고
    • Linear modes of gene expression determined by independent component analysis
    • W. Liebermeister, "Linear modes of gene expression determined by independent component analysis," Bioinformatics, vol. 18, no. 1, pp. 51-60, 2002.
    • (2002) Bioinformatics , vol.18 , Issue.1 , pp. 51-60
    • Liebermeister, W.1
  • 11
    • 0031191456 scopus 로고    scopus 로고
    • Blind separation of mixtures of independent sources a quasi maximum likelihood approach
    • D. T. Pham and P. Garrat, "Blind separation of mixtures of independent sources a quasi maximum likelihood approach," IEEE Trans. Signal Processing, vol. 45, no. 7, pp. 1712-1725, 1997.
    • (1997) IEEE Trans. Signal Processing , vol.45 , Issue.7 , pp. 1712-1725
    • Pham, D.T.1    Garrat, P.2
  • 12
    • 3042722835 scopus 로고    scopus 로고
    • Blind source separation with relative Newton method
    • Nara, Japan
    • M. Zibulevsky, "Blind source separation with relative Newton method," in Proc. ICA, Nara, Japan, 2003, pp. 897-902.
    • (2003) Proc. ICA , pp. 897-902
    • Zibulevsky, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.