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Volumn 39, Issue 11, 2006, Pages 2227-2232

Subspace independent component analysis using vector kurtosis

Author keywords

Blind source separation; Subspace ICA; Vector kurtosis

Indexed keywords

ALGORITHMS; BLIND SOURCE SEPARATION; COMPUTATION THEORY; PATTERN RECOGNITION; VECTORS;

EID: 33746836570     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2006.04.021     Document Type: Article
Times cited : (32)

References (6)
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    • Emergence of phase- and shift-invariant features by decomposition of natural images into independent feature subspaces
    • Hyvärinen A., and Hoyer P. Emergence of phase- and shift-invariant features by decomposition of natural images into independent feature subspaces. Neural Comp. 12 (2000) 1705-1720
    • (2000) Neural Comp. , vol.12 , pp. 1705-1720
    • Hyvärinen, A.1    Hoyer, P.2
  • 2
    • 0031645454 scopus 로고    scopus 로고
    • J.-F. Cardoso, Multidimensional independent component analysis, Proceedings of the ICASSP, vol. 37, 1998.
  • 4
    • 33746854095 scopus 로고    scopus 로고
    • B.L.R. De Moor, P.D. Gersem, B.D. Schutter, W. Favoreel (Eds.), Daisy: Database for the Identification of Systems, 1997, http://www.esat.kuleuven.ac.be/sista/daisy.
  • 5
    • 0001380009 scopus 로고    scopus 로고
    • Emergence of invariant-feature detectors in the adaptive-subspace self-organizing map
    • Kohonen T. Emergence of invariant-feature detectors in the adaptive-subspace self-organizing map. Bio. Cyber. 75 (1996) 281-291
    • (1996) Bio. Cyber. , vol.75 , pp. 281-291
    • Kohonen, T.1
  • 6
    • 0346307721 scopus 로고    scopus 로고
    • A fast fixed-point algorithm for independent component analysis
    • Hyvärinen A., and Oja E. A fast fixed-point algorithm for independent component analysis. Neural Comp. 9 7 (1997) 1483-1492
    • (1997) Neural Comp. , vol.9 , Issue.7 , pp. 1483-1492
    • Hyvärinen, A.1    Oja, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.