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Volumn 5163 LNCS, Issue PART 1, 2008, Pages 165-174

Natural conjugate gradient on complex flag manifolds for complex independent subspace analysis

Author keywords

[No Author keywords available]

Indexed keywords

CONJUGATE GRADIENT; INDEPENDENT SUBSPACE ANALYSIS; NATURAL GRADIENT; NUMERICAL EXPERIMENTS; RIEMANNIAN GEOMETRY; SEARCH METHOD;

EID: 58849164502     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87536-9_18     Document Type: Conference Paper
Times cited : (17)

References (17)
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    • A Complex Gradient Operator and its Application in Adaptive Array Theory
    • Brandwood, D.H.: A Complex Gradient Operator and its Application in Adaptive Array Theory. IEE Proceeding's H (Microwaves, Optics, and Antennas) 130(1), 11-16 (1983)
    • (1983) IEE Proceeding's H (Microwaves, Optics, and Antennas) , vol.130 , Issue.1 , pp. 11-16
    • Brandwood, D.H.1
  • 6
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    • Fiori, S.: A Study on Neural Learning on Manifold Foliations: The Case of the Lie Group SU(3). Neural Computation 4, 1091-1197 (2008)
    • Fiori, S.: A Study on Neural Learning on Manifold Foliations: The Case of the Lie Group SU(3). Neural Computation 4, 1091-1197 (2008)
  • 7
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    • Natural Conjugate Gradient in Variational Inference
    • Ishikawa, M, Doya, K, Miyamoto, H, Yamakawa, T, eds, ICONIP 2007, Part II, Springer, Heidelberg to appear
    • Honkela, A., Tornio, M., Raiko, T., Karhunen, J.: Natural Conjugate Gradient in Variational Inference. In: Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T. (eds.) ICONIP 2007, Part II. LNCS, vol. 4985. Springer, Heidelberg (to appear, 2008)
    • (2008) LNCS , vol.4985
    • Honkela, A.1    Tornio, M.2    Raiko, T.3    Karhunen, J.4
  • 8
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    • Emergence of phase and shift invariant features by decomposition of natural images into independent feature subspaces
    • Hyvärinen, A., Hoyer, P.O.: Emergence of phase and shift invariant features by decomposition of natural images into independent feature subspaces. Neural Computation 12(7), 1705-1720 (2000)
    • (2000) Neural Computation , vol.12 , Issue.7 , pp. 1705-1720
    • Hyvärinen, A.1    Hoyer, P.O.2
  • 9
    • 77956596391 scopus 로고    scopus 로고
    • The Complex Gradient Operator and the CR -Calculus
    • Technical report, University of California, San Diego
    • Kreutz-Delgado, K.: The Complex Gradient Operator and the CR -Calculus, Technical report, University of California, San Diego (2003)
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    • Kreutz-Delgado, K.1
  • 10
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    • Optimization algorithms exploiting unitary constraints
    • Manton, J.: Optimization algorithms exploiting unitary constraints. IEEE Transactions on Signal Processing 50(3), 635-650 (2002)
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    • Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold
    • Nishimori, Y., Akaho, S.: Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold. Neurocomputing 67, 106-135 (2005)
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    • Nishimori, Y.1    Akaho, S.2
  • 13
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    • Nishimori, Y., Akaho, S., Plumbley, M.D.: Riemannian optimization method on the flag manifold for independent subspace analysis. In: Rosea, J.P., Erdogmus, D., Principe, J.C., Haykin, S. (eds.) ICA 2006. LNCS, 3889, pp. 295-302. Springer, Heidelberg (2006)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.