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Volumn 12, Issue 12, 2005, Pages 859-862

A new minor component analysis method based on Douglas-Kung-Amari minor subspace analysis method

Author keywords

Adaptive algorithm; Minor component analysis (MCA)

Indexed keywords

ADAPTIVE ALGORITHMS; APPROXIMATION THEORY; LEARNING ALGORITHMS; MATHEMATICAL TRANSFORMATIONS; NEURAL NETWORKS; RANDOM PROCESSES; STATISTICAL METHODS; VECTORS;

EID: 29144452030     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2005.859497     Document Type: Article
Times cited : (7)

References (12)
  • 2
    • 0141885168 scopus 로고    scopus 로고
    • "A neural minor component analysis approach to robust constrained beamforming"
    • S. Fiori, "A neural minor component analysis approach to robust constrained beamforming," Proc. Inst. Elect. Eng., Vis., Image, Signal Process., vol. 150, pp. 205-218, 2003.
    • (2003) Proc. Inst. Elect. Eng., Vis., Image, Signal Process. , vol.150 , pp. 205-218
    • Fiori, S.1
  • 3
    • 16544390732 scopus 로고    scopus 로고
    • "A self-stabilizing learning rule for minor component analysis"
    • R. Moller, "A self-stabilizing learning rule for minor component analysis," Int. J. Neural Syst., vol. 14, pp. 1-8, 2004.
    • (2004) Int. J. Neural Syst. , vol.14 , pp. 1-8
    • Moller, R.1
  • 4
    • 21744442796 scopus 로고    scopus 로고
    • "Learning algorithms utilizing quasigeodesic flows on the Stiefel manifold"
    • to be published
    • Y. Nishimori and S. Akaho, "Learning algorithms utilizing quasigeodesic flows on the Stiefel manifold," Neurocomputing, to be published.
    • Neurocomputing
    • Nishimori, Y.1    Akaho, S.2
  • 5
    • 21744444331 scopus 로고    scopus 로고
    • "Global convergence analysis of a self-stabilizing MCA learning algorithms"
    • Jul
    • M. Ye, "Global convergence analysis of a self-stabilizing MCA learning algorithms," Neurocomputing, vol. 67C, pp. 321-327, Jul. 2005.
    • (2005) Neurocomputing , vol.67 C , pp. 321-327
    • Ye, M.1
  • 6
    • 0032293921 scopus 로고    scopus 로고
    • "A self-stabilized minor subspace rule"
    • Dec
    • S. C. Douglas, S. Y. Kung, and S. Amari, "A self-stabilized minor subspace rule," IEEE Signal Process. Lett., vol. 5, no. 12, pp. 328-330, Dec. 1998.
    • (1998) IEEE Signal Process. Lett. , vol.5 , Issue.12 , pp. 328-330
    • Douglas, S.C.1    Kung, S.Y.2    Amari, S.3
  • 7
    • 0035187852 scopus 로고    scopus 로고
    • "Unified stabilization approach to principal and minor components"
    • T.-P. Chen and S. Amari, "Unified stabilization approach to principal and minor components," Neural Netw., vol. 14, pp. 1377-1387, 2001.
    • (2001) Neural Netw. , vol.14 , pp. 1377-1387
    • Chen, T.-P.1    Amari, S.2
  • 8
    • 0001586142 scopus 로고    scopus 로고
    • "A theory for learning by weight flow on Stiefel-Grassman Manifold"
    • S. Fiori, "A theory for learning by weight flow on Stiefel-Grassman Manifold," Neural Comput., vol. 13, pp. 1625-1647, 2001.
    • (2001) Neural Comput. , vol.13 , pp. 1625-1647
    • Fiori, S.1
  • 10
    • 0017526570 scopus 로고
    • "Analysis of recursive stochastic algorithms"
    • Aug
    • L. Ljung, "Analysis of recursive stochastic algorithms," IEEE Trans. Autom. Control, vol. 22, no. 4, pp. 551-575, Aug. 1977.
    • (1977) IEEE Trans. Autom. Control , vol.22 , Issue.4 , pp. 551-575
    • Ljung, L.1
  • 11
    • 0742301701 scopus 로고    scopus 로고
    • "A minor subspace algorithm based on neural Stiefel dynamics"
    • S. Fiori, "A minor subspace algorithm based on neural Stiefel dynamics," Int. J. Neural Syst., vol. 12, pp. 339-350, 2002.
    • (2002) Int. J. Neural Syst. , vol.12 , pp. 339-350
    • Fiori, S.1
  • 12
    • 21844443579 scopus 로고    scopus 로고
    • "Quasigeodesic neural learning algorithms over orthogonal group: A tutorial"
    • S. Fiori, "Quasigeodesic neural learning algorithms over orthogonal group: A tutorial," J. Mach. Learn. Res., vol. 6, pp. 743-781, 2005.
    • (2005) J. Mach. Learn. Res. , vol.6 , pp. 743-781
    • Fiori, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.