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Information Theory in Computer Vision and Pattern Recognition - Francisco Escolano
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ISBN: 9781848822962

ID: 9781848822962

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...). Information Theory in Computer Vision and Pattern Recognition: 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...). EDV / Theorie / Informatik / Allgemeines, Springer-Verlag Gmbh

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Information Theory in Computer Vision and Pattern Recognition - Francisco Escolano
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Information Theory in Computer Vision and Pattern Recognition - neues Buch

ISBN: 9781848822962

[ED: Buch], [PU: Springer-Verlag GmbH], 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 a cross-fertilization of both areas., [SC: 0.00], Neuware, gewerbliches Angebot, 235x155x28 mm, [GW: 806g]

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Information Theory in Computer Vision and Pattern Recognition - Escolano, Francisco / Suau, Pablo / Bonev, Boyan
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Escolano, Francisco / Suau, Pablo / Bonev, Boyan:
Information Theory in Computer Vision and Pattern Recognition - gebrauchtes Buch

ISBN: 9781848822962

ID: 7531045

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 informationa ]), principles (maximum entropy, minimax entropya ]) and theories (rate distortion theory, method of typesa ]). 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. Information Theory in Computer Vision and Pattern Recognition Escolano, Francisco / Suau, Pablo / Bonev, Boyan, Springer

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Information Theory in Computer Vision and Pattern Recognition - Francisco Escolano
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Francisco Escolano:
Information Theory in Computer Vision and Pattern Recognition - neues Buch

31, ISBN: 9781848822962

[ED: Buch], [PU: Springer-Verlag GmbH], 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 a cross-fertilization of both areas., [SC: 0.00]

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Information Theory in Computer Vision and Pattern Recognition - Yuille, Alan L.; Escolano Ruiz, Francisco; Suau Prez, Pablo; Bonev, Boyn Ivanov
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Yuille, Alan L.; Escolano Ruiz, Francisco; Suau Prez, Pablo; Bonev, Boyn Ivanov:
Information Theory in Computer Vision and Pattern Recognition - neues Buch

ISBN: 9781848822962

ID: 450577

Provides comprehensive coverage of information theory elements implied in modern computer vision and pattern recognition (CVPE) algorithms Introduces information theory to researchers in CVPR Additionally, introduces interesting CVPR problems to information theorists Computers Computers eBook, Springer London

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Details zum Buch
Information Theory in Computer Vision and Pattern Recognition
Autor:

Escolano, Francisco; Suau, Pablo; Bonev, Boyán

Titel:

Information Theory in Computer Vision and Pattern Recognition

ISBN-Nummer:

9781848822962

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 a cross-fertilization of both areas.

Detailangaben zum Buch - Information Theory in Computer Vision and Pattern Recognition


EAN (ISBN-13): 9781848822962
ISBN (ISBN-10): 1848822960
Gebundene Ausgabe
Erscheinungsjahr: 2009
Herausgeber: Springer-Verlag GmbH
394 Seiten
Gewicht: 0,806 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 16.12.2008 15:42:29
Buch zuletzt gefunden am 19.11.2016 14:32:18
ISBN/EAN: 9781848822962

ISBN - alternative Schreibweisen:
1-84882-296-0, 978-1-84882-296-2

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