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Synopsis
Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifier design and many others). Nowadays, researchers are widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information…), principles (maximum entropy, minimax entropy…) and theories (rate distortion theory, method of types…).
This book explores and introduces the latter elements through an incremental complexity approach at the same time where CVPR problems are formulated and the most representative algorithms are presented. Interesting connections between information theory principles when applied to different problems are highlighted, seeking a comprehensive research roadmap. The result is a novel tool both for CVPR and machine learning researchers, and contributes to across-fertilization of both areas.
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Présentation de l'éditeur
This book provides comprehensive coverage of information theory elements implied in modern CVPR algorithms. It introduces information theory to researchers in CVPR, and additionally introduces interesting CVPR problems to information theorists.
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Information Theory in Computer Vision and Pattern Recognition
impression à la demandeVendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides comprehensive coverage of information theory elements implied in modern computer vision and pattern recognition (CVPE) algorithmsIntroduces information theory to researchers in CVPRAdditionally, introduces interesting CVPR problems. N° de réf. du vendeur 11465284
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Information Theory in Computer Vision and Pattern Recognition
Edité par
Springer London Nov 2014, 2014
ISBN 10 : 1447156935
ISBN 13 : 9781447156932
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Information theory has proved to be effective for solving many computer visionand pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifier design and many others). Nowadays, researchers are widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information.), principles (maximum entropy, minimax entropy.) and theories (rate distortion theory, method of types.).This book explores and introduces the latter elements through an incremental complexity approach at the same time where CVPR problems are formulated and the most representative algorithms are presented. Interesting connections between information theory principles when applied to different problems are highlighted, seeking a comprehensive research roadmap. The result is a novel tool both for CVPR and machine learning researchers, and contributes to a cross-fertilization of both areas. 384 pp. Englisch. N° de réf. du vendeur 9781447156932
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Information Theory in Computer Vision and Pattern Recognition
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Information Theory in Computer Vision and Pattern Recognition
Edité par
Springer London, Springer London Nov 2014, 2014
ISBN 10 : 1447156935
ISBN 13 : 9781447156932
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifier design and many others). Nowadays, researchers are widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information¿), principles (maximum entropy, minimax entropy¿) and theories (rate distortion theory, method of types¿).This book explores and introduces the latter elements through an incremental complexity approach at the same time where CVPR problems are formulated and the most representative algorithms are presented. Interesting connections between information theory principles when applied to different problems are highlighted, seeking a comprehensive research roadmap. The result is a novel tool both for CVPR and machine learning researchers, and contributes to across-fertilization of both areas.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 384 pp. Englisch. N° de réf. du vendeur 9781447156932
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Information Theory in Computer Vision and Pattern Recognition
Edité par
Springer London, Springer London, 2014
ISBN 10 : 1447156935
ISBN 13 : 9781447156932
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Information theory has proved to be effective for solving many computer visionand pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifier design and many others). Nowadays, researchers are widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information.), principles (maximum entropy, minimax entropy.) and theories (rate distortion theory, method of types.).This book explores and introduces the latter elements through an incremental complexity approach at the same time where CVPR problems are formulated and the most representative algorithms are presented. Interesting connections between information theory principles when applied to different problems are highlighted, seeking a comprehensive research roadmap. The result is a novel tool both for CVPR and machine learning researchers, and contributes to across-fertilization of both areas. N° de réf. du vendeur 9781447156932
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Information Theory in Computer Vision and Pattern Recognition
Edité par
Springer London Ltd, 2014
ISBN 10 : 1447156935
ISBN 13 : 9781447156932
Neuf
Paperback / softback
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 587. N° de réf. du vendeur C9781447156932
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Information Theory in Computer Vision and Pattern.
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Information Theory in Computer Vision and Pattern.
impression à la demandeVendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Information Theory in Computer Vision and Pattern.
impression à la demandeVendeur : Majestic Books, Hounslow, Royaume-Uni
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Information Theory in Computer Vision and Pattern Recognition
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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