Sprache: Englisch
Verlag: Springer-Verlag New York Inc., 2003
ISBN 10: 1402012934 ISBN 13: 9781402012938
Anbieter: Ammareal, Morangis, Frankreich
Hardcover. Zustand: Très bon. Ancien livre de bibliothèque. Edition 2003. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2003. Ammareal gives back up to 15% of this item's net price to charity organizations.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc., 2003
ISBN 10: 1402012934 ISBN 13: 9781402012938
Anbieter: Ammareal, Morangis, Frankreich
Hardcover. Zustand: Très bon. Ancien livre de bibliothèque. Edition 2003. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2003. Ammareal gives back up to 15% of this item's net price to charity organizations.
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
EUR 106,43
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In den WarenkorbZustand: Used. pp. 232 Illus.
Zustand: Used. pp. 232.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 115,34
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In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 151,71
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In den WarenkorbPaperback. Zustand: Brand New. 230 pages. 9.00x6.00x0.53 inches. In Stock.
Taschenbuch. Zustand: Neu. Robust Computer Vision | Theory and Applications | N. Sebe (u. a.) | Taschenbuch | Computational Imaging and Vision | xv | Englisch | 2010 | Springer | EAN 9789048162901 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - From the foreword by Thomas Huang: 'During the past decade, researchers in computer vision have found that probabilistic machine learning methods are extremely powerful. This book describes some of these methods. In addition to the Maximum Likelihood framework, Bayesian Networks, and Hidden Markov models are also used. Three aspects are stressed: features, similarity metric, and models. Many interesting and important new results, based on research by the authors and their collaborators, are presented.Although this book contains many new results, it is written in a style that suits both experts and novices in computer vision.'.