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Hardcover. Condition: New. US SELLER SHIPS FAST FROM USA.
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Paper Back. Condition: New.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: 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.
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Condition: New.
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Condition: New. pp. xvi + 290 1st Edition.
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Condition: New. pp. xvi + 290 98 Illus.
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Condition: New. pp. xvi + 290.
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Visual Indexing and Retrieval (SpringerBriefs in Computer Science)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Visual Indexing and Retrieval
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. pp. 116.
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Visual Indexing and Retrieval
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Visual Indexing and Retrieval
Published by Springer-Verlag New York Inc, 2012
ISBN 10: 1461435870 ISBN 13: 9781461435877
Language: English
Paperback. Condition: Brand New. 115 pages. 9.25x6.25x0.25 inches. In Stock.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: 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.
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.
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Machine Learning Techniques for Multimedia : Case Studies on Organization and Retrieval
Published by Springer Berlin Heidelberg, 2008
ISBN 10: 354075170X ISBN 13: 9783540751700
Language: English
Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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hardcover. Condition: 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!
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Machine Learning Techniques for Multimedia: Case Studies on Organization and Retrieval (Cognitive Technologies)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Machine Learning Techniques For Multimedia: Case Studies On Organization And Retrieval
Published by Springer, 2008
Language: English
Hardcover. Condition: New. ISBN:9783540751700.
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Condition: New.
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Taschenbuch. Condition: Neu. Machine Learning Techniques for Multimedia | Case Studies on Organization and Retrieval | Matthieu Cord (u. a.) | Taschenbuch | Previously published in hardcover | xvi | Englisch | 2014 | Springer | EAN 9783642443626 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: very good. l'article peut presenter de tres legers signes d'usure, petites rayures ou imperfections esthetiques. vendeur professionnel; envoi soigne en 24/48h.
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Machine Learning Techniques for Multimedia
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Feb 2008, 2008
ISBN 10: 354075170X ISBN 13: 9783540751700
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware -Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Applying machine learning techniques to multimedia content involves special considerations ¿ the data is typically of very high dimension, and the normal distinction between supervised and unsupervised techniques does not always apply.This book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain. Arising from the EU MUSCLE network, a program that drew together multidisciplinary teams with expertise in machine learning, pattern recognition, artificial intelligence, and image, video, text and crossmedia processing, the book first introduces the machine learning principles and techniques that are applied in multimedia data processing and analysis. The second part focuses on multimedia data processing applications, with chapters examining specific machine learning issues in domains such as image retrieval, biometrics, semantic labelling, mobile devices, and mining in text and music.This book will be suitable for practitioners, researchers and students engaged with machine learning in multimedia applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 308 pp. Englisch.
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Machine Learning Techniques for Multimedia : Case Studies on Organization and Retrieval
Published by Springer Berlin Heidelberg, 2008
ISBN 10: 354075170X ISBN 13: 9783540751700
Language: English
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Applying machine learning techniques to multimedia content involves special considerations - the data is typically of very high dimension, and the normal distinction between supervised and unsupervised techniques does not always apply. This book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain. Arising from the EU MUSCLE network, a program that drew together multidisciplinary teams with expertise in machine learning, pattern recognition, artificial intelligence, and image, video, text and crossmedia processing, the book first introduces the machine learning principles and techniques that are applied in multimedia data processing and analysis. The second part focuses on multimedia data processing applications, with chapters examining specific machine learning issues in domains such as image retrieval, biometrics, semantic labelling, mobile devices, and mining in text and music.This book will be suitable for practitioners, researchers and students engaged with machine learning in multimedia applications.
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Machine Learning Techniques for Multimedia : Case Studies on Organization and Retrieval
Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2014
ISBN 10: 3642443621 ISBN 13: 9783642443626
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Applying machine learning techniques to multimedia content involves special considerations - the data is typically of very high dimension, and the normal distinction between supervised and unsupervised techniques does not always apply. This book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain. Arising from the EU MUSCLE network, a program that drew together multidisciplinary teams with expertise in machine learning, pattern recognition, artificial intelligence, and image, video, text and crossmedia processing, the book first introduces the machine learning principles and techniques that are applied in multimedia data processing and analysis. The second part focuses on multimedia data processing applications, with chapters examining specific machine learning issues in domains such as image retrieval, biometrics, semantic labelling, mobile devices, and mining in text and music.This book will be suitable for practitioners, researchers and students engaged with machine learning in multimedia applications.
