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Volumn 3889 LNCS, Issue , 2006, Pages 157-164

Estimating non-Gaussian subspaces by characteristic functions

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; GAUSSIAN NOISE (ELECTRONIC); INDEPENDENT COMPONENT ANALYSIS; NUMERICAL METHODS; PROBLEM SOLVING; REDUCTION; TENSORS;

EID: 33745683287     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11679363_20     Document Type: Conference Paper
Times cited : (10)

References (12)
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  • 3
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  • 4
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    • Linear dimension reduction based on the fourth-order cumulant tensor
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    • M. Kawanabe. Linear dimension reduction based on the fourth-order cumulant tensor. Proc. ICANN 2005, LNCS 3697: 151-156, Warsaw, Poland, 2005.
    • (2005) Proc. ICANN 2005 , pp. 151-156
    • Kawanabe, M.1
  • 6
    • 0032629347 scopus 로고    scopus 로고
    • Fast and robust fixed-point algorithms for independent component analysis
    • A. Hyvärinen. Fast and robust fixed-point algorithms for independent component analysis. IEEE Transactions on Neural Networks, 10(3):626-634, 1999.
    • (1999) IEEE Transactions on Neural Networks , vol.10 , Issue.3 , pp. 626-634
    • Hyvärinen, A.1
  • 8
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • S. Roweis and L. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500):2323-2326, 2000.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 9
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • J.B. Tenenbaum, V. de Silva and J.C. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290(5500):2319-2323, 2000.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3
  • 10
    • 3142759950 scopus 로고    scopus 로고
    • A new concept for separability problems in blind source separation
    • F.J. Theis. A new concept for separability problems in blind source separation. Neural Computation, 16: 1827-1850, 2004
    • (2004) Neural Computation , vol.16 , pp. 1827-1850
    • Theis, F.J.1
  • 11
    • 73849142491 scopus 로고    scopus 로고
    • Multidimensional independent component analysis using characte ristic functions
    • Antalya, Turkey
    • F.J. Theis. Multidimensional independent component analysis using characte ristic functions. Proc. EUSIPCO 2005, Antalya, Turkey, 2005.
    • (2005) Proc. EUSIPCO 2005
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  • 12
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    • Uniqueness of non-Gaussian component analysis
    • submitted to
    • F.J. Theis and M. Kawanabe. Uniqueness of non-Gaussian component analysis, submitted to ICA 2006.
    • ICA 2006
    • Theis, F.J.1    Kawanabe, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.