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Volumn 12, Issue 2, 2001, Pages 202-211

Independent component analysis using potts models

Author keywords

Entropy; Independent component analysis (ICA); Mean field annealing; Potts model; Unsupervised learning

Indexed keywords

COMPUTATION THEORY; COMPUTER SIMULATION; ENCODING (SYMBOLS); ENTROPY; LEARNING ALGORITHMS; MATHEMATICAL MODELS; MATRIX ALGEBRA; NEURAL NETWORKS; OPTIMIZATION; PROBABILITY DISTRIBUTIONS; REGRESSION ANALYSIS;

EID: 0035273462     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.914518     Document Type: Article
Times cited : (18)

References (32)
  • 3
    • 0033561967 scopus 로고    scopus 로고
    • Blind separation of a mixture of uniformly distributed source signals: A novel approach
    • (1999) Neural Comput. , vol.11 , pp. 1011-1034
    • Basak, J.1    Amari, S.2
  • 7
    • 0032187518 scopus 로고    scopus 로고
    • Blind signal separation: Statistical principles
    • Oct.
    • (1998) Proc. IEEE , vol.9 , Issue.10 , pp. 2009-2025
  • 12
    • 0023657610 scopus 로고
    • An analog approach to the travelling salesman problem using an elastic net method
    • Apr. 16
    • (1987) Nature , vol.326 , Issue.6114 , pp. 689-691
    • Durbin, R.1    Willshaw, D.2
  • 21
    • 0000578525 scopus 로고    scopus 로고
    • A local learning rule that enables information maximization for arbitrary input distributions
    • Nov. 15
    • (1997) Neural Comput. , vol.9 , Issue.8 , pp. 1661-1665
    • Linsker, R.1
  • 26
    • 0343416807 scopus 로고    scopus 로고
    • The nonlinear PCA learning rule in independent component analysis
    • (1997) Neurocomput. , vol.17 , pp. 25-45
    • Oja, E.1
  • 32
    • 0000056917 scopus 로고    scopus 로고
    • Adaptive on-line learning algorithms for blind separation - Maximum entropy and minimum mutual information
    • (1997) Neural Comput. , vol.9 , pp. 1457-1482
    • Yang, H.H.1    Amari, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.