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Volumn 70, Issue 7-9, 2007, Pages 1372-1381

Learning principal directions: Integrated-squared-error minimization

Author keywords

EM algorithm; Generalized Hebbian algorithm; Generative models; PCA; Probabilistic coupled models; Separable LS

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ERROR ANALYSIS; FEEDFORWARD NEURAL NETWORKS; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY;

EID: 33847380221     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.06.004     Document Type: Article
Times cited : (10)

References (12)
  • 1
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    • J.H. Ahn, S. Choi, J.H. Oh, A new way of PCA: Integrated-squared-error and EM algorithms, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. Montreal, Canada, 2004.
  • 2
    • 0037264275 scopus 로고    scopus 로고
    • A constrained EM algorithm for principal component analysis
    • Ahn J.H., and Oh J.H. A constrained EM algorithm for principal component analysis. Neural Comput. 15 1 (2003) 57-65
    • (2003) Neural Comput. , vol.15 , Issue.1 , pp. 57-65
    • Ahn, J.H.1    Oh, J.H.2
  • 3
    • 4644250436 scopus 로고    scopus 로고
    • Sequential EM learning for subspace analysis
    • Choi S. Sequential EM learning for subspace analysis. Pattern Recognition Lett. 25 14 (2004) 1559-1567
    • (2004) Pattern Recognition Lett. , vol.25 , Issue.14 , pp. 1559-1567
    • Choi, S.1
  • 7
    • 0029061996 scopus 로고
    • Generalization of principal component analysis, optimization problems, and neural networks
    • Karhunen J., and Joutsensalo J. Generalization of principal component analysis, optimization problems, and neural networks. Neural Networks 8 4 (1995) 549-562
    • (1995) Neural Networks , vol.8 , Issue.4 , pp. 549-562
    • Karhunen, J.1    Joutsensalo, J.2
  • 8
    • 0002399288 scopus 로고
    • Neural networks, principal component analysis, and subspaces
    • Oja E. Neural networks, principal component analysis, and subspaces. Int. J. Neural Syst. 1 (1989) 61-68
    • (1989) Int. J. Neural Syst. , vol.1 , pp. 61-68
    • Oja, E.1
  • 10
    • 0024883243 scopus 로고
    • Optimal unsupervised learning in a single-layer linear feedforward neural network
    • Sanger T.D. Optimal unsupervised learning in a single-layer linear feedforward neural network. Neural Networks 2 6 (1989) 459-473
    • (1989) Neural Networks , vol.2 , Issue.6 , pp. 459-473
    • Sanger, T.D.1
  • 11
    • 0033556788 scopus 로고    scopus 로고
    • Mixtures of probabilistic principal component analyzers
    • Tipping M.E., and Bishop C.M. Mixtures of probabilistic principal component analyzers. Neural Computation 11 2 (1999) 443-482
    • (1999) Neural Computation , vol.11 , Issue.2 , pp. 443-482
    • Tipping, M.E.1    Bishop, C.M.2
  • 12
    • 0038959172 scopus 로고    scopus 로고
    • Probabilistic principal component analysis
    • Tipping M.E., and Bishop C.M. Probabilistic principal component analysis. J. Roy. Stat. Soc. B 61 3 (1999) 611-622
    • (1999) J. Roy. Stat. Soc. B , vol.61 , Issue.3 , pp. 611-622
    • Tipping, M.E.1    Bishop, C.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.