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Volumn 4666 LNCS, Issue , 2007, Pages 97-104

Modeling and estimation of dependent subspaces with non-radially symmetric and skewed densities

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; GAUSSIAN DISTRIBUTION; RANDOM VARIABLES;

EID: 38149058337     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74494-8_13     Document Type: Conference Paper
Times cited : (44)

References (13)
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    • Amari, S.-I., Cichocki, A.: Adaptive blind signal processing-neural network approaches. Proceedings of the IEEE 86(10), 2026-2047 (1998)
    • (1998) Proceedings of the IEEE , vol.86 , Issue.10 , pp. 2026-2047
    • Amari, S.-I.1    Cichocki, A.2
  • 5
    • 0040618942 scopus 로고
    • Iteratively reweighted least squares for linear regression when errors are Normal/Independent distributed
    • Krishnaiah, P.R, ed, North Holland Publishing Company, Amsterdam
    • Dempster, A.P., Laird, N.M., Rubin, D.B.: Iteratively reweighted least squares for linear regression when errors are Normal/Independent distributed. In: Krishnaiah, P.R. (ed.) Multivariate Analysis V, pp. 35-57. North Holland Publishing Company, Amsterdam (1980)
    • (1980) Multivariate Analysis V , pp. 35-57
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 6
    • 33745711478 scopus 로고    scopus 로고
    • Eltoft, T., Kim, T., Lee, T.-W.: Multivariate scale mixture of Gaussians modeling. In: Rosca, J., Erdogmus, D., Príncipe, J.C., Haykin, S. (eds.) ICA 2006. LNCS, 3889, pp. 799-806. Springer, Heidelberg (2006)
    • Eltoft, T., Kim, T., Lee, T.-W.: Multivariate scale mixture of Gaussians modeling. In: Rosca, J., Erdogmus, D., Príncipe, J.C., Haykin, S. (eds.) ICA 2006. LNCS, vol. 3889, pp. 799-806. Springer, Heidelberg (2006)
  • 7
    • 0031324470 scopus 로고    scopus 로고
    • Normal scale mixtures and dual probability densities
    • Gneiting, T.: Normal scale mixtures and dual probability densities. J. Statist. Comput. Simul. 59, 375-384 (1997)
    • (1997) J. Statist. Comput. Simul , vol.59 , pp. 375-384
    • Gneiting, T.1
  • 8
    • 0034222304 scopus 로고    scopus 로고
    • 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, 1705-1720 (2000)
    • (2000) Neural Computation , vol.12 , pp. 1705-1720
    • Hyvärinen, A.1    Hoyer, P.O.2
  • 9
    • 0035409349 scopus 로고    scopus 로고
    • Topographic independent component analysis
    • Hyvärinen, A., Hoyer, P.O., Inki, M.: Topographic independent component analysis. Neural Computation 13(7), 1527-1558 (2001)
    • (2001) Neural Computation , vol.13 , Issue.7 , pp. 1527-1558
    • Hyvärinen, A.1    Hoyer, P.O.2    Inki, M.3
  • 11
    • 33745725578 scopus 로고    scopus 로고
    • Kim, T., Eltoft, T., Lee, T.-W.: Independent vector analysis: An extension of ICA to multivariate components. In: Rosca, J., Erdogmus, D., Príncipe, J.C., Haykin, S. (eds.) ICA 2006. LNCS, 3889, pp. 165-172. Springer, Heidelberg (2006)
    • Kim, T., Eltoft, T., Lee, T.-W.: Independent vector analysis: An extension of ICA to multivariate components. In: Rosca, J., Erdogmus, D., Príncipe, J.C., Haykin, S. (eds.) ICA 2006. LNCS, vol. 3889, pp. 165-172. Springer, Heidelberg (2006)
  • 12
    • 33745711477 scopus 로고    scopus 로고
    • Palmer, J.A., Kreutz-Delgado, K., Makeig, S.: Super-Gaussian mixture source model for ICA. In: Rosca, J., Erdogmus, D., Príncipe, J.C., Haykin, S. (eds.) ICA 2006. LNCS, 3889, pp. 854-861. Springer, Heidelberg (2006)
    • Palmer, J.A., Kreutz-Delgado, K., Makeig, S.: Super-Gaussian mixture source model for ICA. In: Rosca, J., Erdogmus, D., Príncipe, J.C., Haykin, S. (eds.) ICA 2006. LNCS, vol. 3889, pp. 854-861. Springer, Heidelberg (2006)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.