Soft Cover. Zustand: Good. Lecture Notes in Computer Science, 3195. Usual ex-library features. The interior is clean and tight. Binding is good. Cover shows slight wear. 1266 pages. Ex-Library.
Zustand: Sehr gut. 284 p. In very good condition. ISBN: 9781852330668 Sprache: Englisch Gewicht in Gramm: 437 15,5 x 1,6 x 23,5 cm, softcover.
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In den WarenkorbZustand: New. pp. 1008 Illus.
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 831 pages. 10.25x7.75x1.75 inches. In Stock.
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In den WarenkorbPaperback. Zustand: Brand New. 271 pages. 9.25x6.50x0.50 inches. In Stock.
Taschenbuch. Zustand: Neu. Independent Component Analysis and Blind Signal Separation | 6th International Conference, ICA 2006, Charleston, SC, USA, March 5-8, 2006, Proceedings | Justinian Rosca (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2006 | Springer | EAN 9783540326304 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. Self-Organising Neural Networks | Independent Component Analysis and Blind Source Separation | Mark Girolami | Taschenbuch | ix | Englisch | 1999 | Springer | EAN 9781852330668 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2006
ISBN 10: 3540326308 ISBN 13: 9783540326304
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In den WarenkorbKartoniert / Broschiert. Zustand: New. This book constitutes the refereed proceedings of the 6th International Conference on Independent Component Analysis and Blind Source Separation, ICA 2006, held in Charleston, SC, USA, in March 2006. The 120 revised papers presented were carefully review.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The conception of fresh ideas and the development of new techniques for Blind Source Separation and Independent Component Analysis have been rapid in recent years. It is also encouraging, from the perspective of the many scientists involved in this fascinating area of research, to witness the growing list of successful applications of these methods to a diverse range of practical everyday problems. This growth has been due, in part, to the number of promising young and enthusiastic researchers who have committed their efforts to expanding the current body of knowledge within this field of research. The author of this book is among one of their number. I trust that the present book by Dr. Mark Girolami will provide a rapid and effective means of communicating some of these new ideas to a wide international audience and that in turn this will expand further the growth of knowledge. In my opinion this book makes an important contribution to the theory of Independent Component Analysis and Blind Source Separation. This opens a range of exciting methods, techniques and algorithms for applied researchers and practitioner engineers, especially from the perspective of artificial neural networks and information theory. It has been interesting to see how rapidly the scientific literature in this area has grown.
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Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2006
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In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 980 pages. 9.00x6.00x1.25 inches. In Stock.
Sprache: Englisch
Verlag: Springer, Berlin, Springer, 2006
ISBN 10: 3540326308 ISBN 13: 9783540326304
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 6th International Conference on Independent Component Analysis and Blind Source Separation, ICA 2006, held in Charleston, SC, USA, in March 2006. The 120 revised papers presented were carefully reviewed and selected from 183 submissions. The papers are organized in topical sections on algorithms and architectures, applications, medical applications, speech and signal processing, theory, and visual and sensory processing.