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Springer, Date: 2012. Softcover. Brand New. International Edition - ISBN number and front cover may be different in rare cases but CONTENTS are same as the US edition. No shipping to PO BOX, APO, FPO addresses. Kindly provide day time phone number in order to ensure smooth delivery. Printed in black & white in English language. Territorial restrictions may be printed on the book. We may ship from Asian regions for inventory purpose. 100% Customer satisfaction guaranteed!" We use Fast Shipping via DHL/FEDEX/UPS 2012. Springer ISBN 1848822960 9781848822962 [US]
Springer 2009 Hardcover Good Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
ISBN10: 1848822960, ISBN13: 9781848822962, [publisher: Springer] Hardcover Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! [Dallas, TX, U.S.A.] [Publication Year: 2009]
Yuille, Alan L (Foreword by), and Escolano Ruiz, Francisco, and Suau Pérez, Pablo
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London Springer 2009 2009 ed. Hard cover New. Sewn binding. Paper over boards. 364 p. Contains: Unspecified, Illustrations, color, Tables, black & white, Figures.
ISBN10: 1848822960, ISBN13: 9781848822962, [publisher: Springer London] Hardcover 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. [Einbeck, Germany] [Publication Year: 2009]
ISBN10: 1848822960, ISBN13: 9781848822962, [publisher: Springer] Hardcover Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting. [Hawthorne, CA, U.S.A.] [Publication Year: 2009]
ISBN10: 1848822960, ISBN13: 9781848822962, [publisher: Springer] Hardcover Book is in Used-LikeNew condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear. [Hawthorne, CA, U.S.A.] [Publication Year: 2009]
ISBN10: 1848822960, ISBN13: 9781848822962, [publisher: Springer London] Hardcover 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. [Einbeck, Germany] [Publication Year: 2009]
Hard Cover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The Information Theory in Computer Vision and Pattern Recognition. ISBN 1848822960 9781848822962 [GB]
ISBN10: 1848822960, ISBN13: 9781848822962, [publisher: Springer] Hardcover New! This book is in the same immaculate condition as when it was published [Tucson, AZ, U.S.A.] [Publication Year: 2009]
Hardback. New. 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. ISBN 1848822960 9781848822962 [GB]
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