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Number of items: 5.

Book Section

Alvarez, M. and Rojas, F. and Lang, Elmar W. and Rojas, I. and Puntonet, C. and Salmeron, M. (2004) Lattice ICA for the separation of speech signals. In: Verleysen, Michel, (ed.) Proceedings / 12th European Symposium on Artificial Neural Networks, ESANN 2004: Bruges, Belgium, April 28 - 30, 2004. d-side, Evere, Belgium, pp. 337-342.

Alvarez, M. and Rojas, F. and Puntonet, C. and Ortega, J. and Theis, F. and Lang, Elmar (2003) A Geometric ICA Procedure Based on a Lattice of the Observation Space. In: Amari, S., (ed.) Proceedings: Fourth International Symposium on Independent Component Analysis and Blind Signal Separation, April 1 - 4, 2003, Nara, Japan (ICA ). UNSPECIFIED, Tokyo, pp. 1101-1106. ISBN 4-9901531-1-1.

Theis, Fabian J. and Alvarez, M. and Puntonet, C. and Lang, Elmar (2003) An Adaptive Approach to Blind Source Separation Using a Self-Organizing Map and a Neural Gas. In: Mira, José, (ed.) Artificial neural nets problem solving methods |7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, Maó, Menorca, Spain, June 3 - 6, 2003; proceedings, part II. Lecture notes in computer science, 2687. Springer, Berlin, pp. 695-702. ISBN 3-540-40211-X.

Theis, F. and Bauer, Christoph and Puntonet, C. and Lang, Elmar (2001) Pattern Repulsion Revisited. In: Proc. IWANN 2001. Lecture notes in computer science, 2085. Springer, Berlin, pp. 778-786.

Book

Meyer-Bäse, A. and Theis, F. and Lange, O. and Puntonet, C. (2004) Tree–dependent and topographic independent component analysis for fMRI analysis. UNSPECIFIED, Granada, Spain, pp. 782-789.

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