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Volumn 4, Issue , 2007, Pages

Flag manifolds for subspace ICA problems

Author keywords

Complex ICA; Flag manifolds; Geodesic; Independent subspace analysis; Natural gradient; Riemannian optimization method

Indexed keywords

ALGORITHMS; GEODESY; GRADIENT METHODS; PROBLEM SOLVING;

EID: 34547526573     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2007.367345     Document Type: Conference Paper
Times cited : (16)

References (10)
  • 1
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    • Riemannian geometry of Grassmann manifolds with a view on algorithmic computation
    • P-A. Absil, R. Mahony, and R. Sepulchre, Riemannian geometry of Grassmann manifolds with a view on algorithmic computation, Acta Applicandae Mathematicae, 80 (2), pp. 199-220, 2004.
    • (2004) Acta Applicandae Mathematicae , vol.80 , Issue.2 , pp. 199-220
    • Absil, P.-A.1    Mahony, R.2    Sepulchre, R.3
  • 2
    • 0000396062 scopus 로고    scopus 로고
    • Natural gradient works efficiently in learning
    • S. Amari, Natural gradient works efficiently in learning, Neural Computation, 10, pp.251-276, 1998.
    • (1998) Neural Computation , vol.10 , pp. 251-276
    • Amari, S.1
  • 4
    • 21844443579 scopus 로고    scopus 로고
    • Quasi-geodesic neural learning algorithms over the orthogonal group: A tutorial
    • S. Fiori, Quasi-geodesic neural learning algorithms over the orthogonal group: a tutorial, Journal of Machine Learning Research, 6, pp.743-781, 2005.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 743-781
    • Fiori, S.1
  • 5
    • 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.O. Hoyer, Emergence of phase and shift invariant features by decomposition of natural images into independent feature subspaces. Neural Computation, 12(7), pp. 1705-1720, 2000.
    • (2000) Neural Computation , vol.12 , Issue.7 , pp. 1705-1720
    • Hyvärinen, A.1    Hoyer, P.O.2
  • 8
    • 21744442796 scopus 로고    scopus 로고
    • Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold
    • Y. Nishimori and S. Akaho, Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold, Neurocomputing, 67 pp.106-135, 2005.
    • (2005) Neurocomputing , vol.67 , pp. 106-135
    • Nishimori, Y.1    Akaho, S.2
  • 9
    • 33745697492 scopus 로고    scopus 로고
    • Riemannian optimization method on the flag manifold for independent subspace analysis
    • Y. Nishimori, S. Akaho and M.D. Plumbley, Riemannian optimization method on the flag manifold for independent subspace analysis, Proceedings of ICA2006, pp.295-1302, 2006.
    • (2006) Proceedings of ICA2006 , pp. 295-1302
    • Nishimori, Y.1    Akaho, S.2    Plumbley, M.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.