Clustering of signals using incomplete independent component analysis

Lecture Notes in Computer Science

Volumn 3512, Issue , 2005, Pages 1067-1074

  Keck, Ingo R ^a   Lang, Elmar W ^a   Nassabay, Salua ^b   Puntonet, Carlos G ^b  

^a UNIVERSITY OF REGENSBURG   (Germany)

^b UNIVERSITY OF GRANADA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BRAIN; DATA REDUCTION; MATRIX ALGEBRA; SET THEORY; SIGNAL PROCESSING;

CLUSTERING ANALYSIS; DATASETS; MIXTURE MATRIX; TOY DATA;

INDEPENDENT COMPONENT ANALYSIS;

EID: 25144511395     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11494669_131     Document Type: Conference Paper

References (11)

1. F.R. Bach, M.I. Jordan, "Beyond independent components: Trees and Clusters", Journal of Machine Learning Research 4, 1205-1233, 2003.
2. A. Hyvärinen, P. Hoyer, "Topographic independent component analysis", Neural Computation 13, 1527-1558, 2001.
3. A. Meyer-Base, F.J. Theis, O. Lange, C.G. Puntonet, "Tree-Dependent and Topographic Independent Component Analysis for fMRI Analysis", in Proc. ICA 2004, volume 3195 of Lecture Notes in Computer Science, 782-789, Granada, Spain, 2004.
4. R. S. J. Frackowiak, K. J. Friston, Ch. D. Frith, R. J. Dolan, J. C. Mazziotta, "Human Brain Function", Academic Press, San Diego, USA, 1997.
5. A.J. Bell, T.J. Sejnowski, "An information-maximisation approach to blind separation and blind deconvolution", Neural Computation, 7(6), 1129-1159 (1995).
6. A. Hyvärinen, "Fast and Robust Fixed-Point Algorithms for Independent Component Analysis", IEEE Transactions on Neural Networks 10(3), 626-634 (1999).
7. S. Amari, "Natural Gradient Learning for Over- and Under-Complete Bases in ICA", Neural Computation 11, 1875-1883 (1999).
8. F.J. Theis, A. Jung, C.G. Puntonet, E.W. Lang, "Linear geometric ICA: Fundamentals and algorithms", Neural Computation, 15, 419-439, 2003
9. A. Hyvärinen, E. Oja, "Independent Component Analysis: Algorithms and Applications", Neural Networks, 13(4-5), 411-430, 2000.
10. A. Belouchrani, K. Abed-Meraim, J.-F. Cardoso, E. Moulines, "A Blind Source Separation Technique Using Second-Order Statistics", IEEE Transactions on Signal Processing, 45(2), 434-444, 1997
11. M.J. McKeown, T.J. Sejnowski, "Analysis of fmri data by blind separation into independent spatial components", Human Brain Mapping 6, 160-188 (1998).