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Volumn , Issue , 2006, Pages 3919-3924

Relative gradient learning for independent subspace analysis

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; INDEPENDENT COMPONENT ANALYSIS; LEARNING ALGORITHMS; OPTIMIZATION;

EID: 40649118752     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (12)
  • 1
    • 0000396062 scopus 로고    scopus 로고
    • Natural gradient works efficiently in learning
    • S. Amari, "Natural gradient works efficiently in learning," Neural Computation, vol. 10, no. 2, pp. 251-276, 1998.
    • (1998) Neural Computation , vol.10 , Issue.2 , pp. 251-276
    • Amari, S.1
  • 2
    • 0010044508 scopus 로고    scopus 로고
    • Learning in manifolds: The case of source separation
    • Portland, Oregon
    • J. F. Cardoso, "Learning in manifolds: The case of source separation," in Proc. SSAP, Portland, Oregon, 1998.
    • (1998) Proc. SSAP
    • Cardoso, J.F.1
  • 4
    • 0030417779 scopus 로고    scopus 로고
    • Equivariant adaptive source separation
    • Dec
    • J. F. Cardoso and B. H. Laheld, "Equivariant adaptive source separation," IEEE Trans. Signal Processing, vol. 44, no. 12, pp. 3017-3030, Dec. 1996.
    • (1996) IEEE Trans. Signal Processing , vol.44 , Issue.12 , pp. 3017-3030
    • Cardoso, J.F.1    Laheld, B.H.2
  • 5
    • 0003238561 scopus 로고    scopus 로고
    • Separation of mixed audio sources by independent subspace analysis
    • Mitsubishi Electrical Research Laboratory, Tech. Rep. 31
    • M. Casey, "Separation of mixed audio sources by independent subspace analysis," Mitsubishi Electrical Research Laboratory, Tech. Rep. 31, 2001.
    • (2001)
    • Casey, M.1
  • 7
    • 0000929221 scopus 로고
    • What is the goal of sensory coding?
    • D.J. Field, "What is the goal of sensory coding?" Neural Computation, vol. 6, no. 4, pp. 559-601, 1994.
    • (1994) Neural Computation , vol.6 , Issue.4 , pp. 559-601
    • Field, D.J.1
  • 8
    • 0034222304 scopus 로고    scopus 로고
    • Emergence of phase- and shift-invariant features by decomposition of natural images into independent feature subspaces
    • A. Hyvärinen and P. Hoyer, "Emergence of phase- and shift-invariant features by decomposition of natural images into independent feature subspaces," Neural Computation, vol. 12, no. 7, pp. 1705-1720, 2000.
    • (2000) Neural Computation , vol.12 , Issue.7 , pp. 1705-1720
    • Hyvärinen, A.1    Hoyer, P.2
  • 10
    • 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. Y. Bang, "Membership scoring via independent feature subspace analysis for grouping co-expressed genes," in Proc. Int'l Joint Conf. Neural Networks, Portland, Oregon, 2003.
    • (2003) Proc. Int'l Joint Conf. Neural Networks
    • Kim, H.1    Choi, S.2    Bang, S.Y.3
  • 11
    • 0034850611 scopus 로고    scopus 로고
    • View-based clustering of object appearances based on independent subspace analysis
    • Vancouver, Canada
    • S. Z. Li, X. Lv, and H. Zhang, "View-based clustering of object appearances based on independent subspace analysis," in Proc. Int'l Conf. Computer Vision, Vancouver, Canada, 2001, pp. 295-300.
    • (2001) Proc. Int'l Conf. Computer Vision , pp. 295-300
    • Li, S.Z.1    Lv, X.2    Zhang, H.3
  • 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.