Machine Learning Techniques Multimedia (53 results)
Language: English
Published by Springer 2008
Series: Cognitive Technologies, Book 9 of 43. Book 9 of 43 - Cognitive Technologies
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Published by Springer 2008
Series: Cognitive Technologies, Book 9 of 43. Book 9 of 43 - Cognitive Technologies
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Published by Springer 2008
Series: Cognitive Technologies, Book 9 of 43. Book 9 of 43 - Cognitive Technologies
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Published by Springer 2008
Series: Cognitive Technologies, Book 9 of 43. Book 9 of 43 - Cognitive Technologies
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Language: English
Published by Springer 2008
Series: Cognitive Technologies, Book 9 of 43. Book 9 of 43 - Cognitive Technologies
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Language: English
Published by Springer 2008
Series: Cognitive Technologies, Book 9 of 43. Book 9 of 43 - Cognitive Technologies
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Condition: New. pp. xvi + 290 1st Edition.
Language: English
Published by Springer 2008
Series: Cognitive Technologies, Book 9 of 43. Book 9 of 43 - Cognitive Technologies
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Condition: New. pp. xvi + 290 98 Illus.
Language: English
Published by Springer 2008
Series: Cognitive Technologies, Book 9 of 43. Book 9 of 43 - Cognitive Technologies
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Condition: New. pp. xvi + 290.
Language: English
Published by Springer 2008
Series: Cognitive Technologies, Book 9 of 43. Book 9 of 43 - Cognitive Technologies
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Language: English
Published by Springer 2008
Series: Cognitive Technologies, Book 9 of 43. Book 9 of 43 - Cognitive Technologies
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Language: English
Published by Springer 2008
Series: Cognitive Technologies, Book 9 of 43. Book 9 of 43 - Cognitive Technologies
- Hardcover
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 308 | Sprache: Englisch | Produktart: Bücher | 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 improv…e 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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Language: English
Published by Springer 2014
Series: Cognitive Technologies, Book 9 of 43. Book 9 of 43 - Cognitive Technologies
- Softcover
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Language: English
Published by Springer 2008
Series: Cognitive Technologies, Book 9 of 43. Book 9 of 43 - Cognitive Technologies
- Hardcover
Seller: LiLi - La Liberté des Livres, CANEJAN, , FranceLiLi - La Liberté des Livres
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Language: English
Published by Springer 2022
Series: Studies in Big Data, Book 76 of 95. Book 76 of 95 - Studies in Big Data
- Softcover
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Language: English
Published by Springer 2021
Series: Studies in Big Data, Book 76 of 95. Book 76 of 95 - Studies in Big Data
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Language: English
Published by Springer 2014
Series: Cognitive Technologies, Book 9 of 43. Book 9 of 43 - Cognitive Technologies
- Softcover
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Language: English
Published by Springer 2021
Series: Studies in Big Data, Book 76 of 95. Book 76 of 95 - Studies in Big Data
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Language: English
Published by Springer 2014
Series: Cognitive Technologies, Book 9 of 43. Book 9 of 43 - Cognitive Technologies
- Softcover
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Taschenbuch. Condition: Neu. Machine Learning Techniques for Multimedia | Case Studies on Organization and Retrieval | Matthieu Cord (u. a.) | Taschenbuch | 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.
Language: English
Published by Springer 2008
- Hardcover
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Hardcover. Condition: New. ISBN:9783540751700.
Language: English
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg 2008
Series: Cognitive Technologies, Book 9 of 43. Book 9 of 43 - Cognitive Technologies
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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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.
Language: English
Published by Springer 2021
Series: Studies in Big Data, Book 76 of 95. Book 76 of 95 - Studies in Big Data
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
More imagesLanguage: English
Published by Springer 2022
Series: Studies in Big Data, Book 76 of 95. Book 76 of 95 - Studies in Big Data
- Softcover
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Taschenbuch. Condition: Neu. Machine Learning for Intelligent Multimedia Analytics | Techniques and Applications | Pardeep Kumar (u. a.) | Taschenbuch | xiv | Englisch | 2022 | Springer | EAN 9789811594946 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]spri…nger[dot]com | Anbieter: preigu.
Language: English
Published by Springer, Berlin, Springer Berlin Heidelberg, Springer 2014
Series: Cognitive Technologies, Book 9 of 43. Book 9 of 43 - Cognitive Technologies
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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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 performa…nce 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.
Language: English
Published by Springer 2022
Series: Studies in Big Data, Book 76 of 95. Book 76 of 95 - Studies in Big Data
- Softcover
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- Hardcover
- International Edition
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Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if th…e Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Language: English
Published by Springer 2008
Series: Cognitive Technologies, Book 9 of 43. Book 9 of 43 - Cognitive Technologies
- Hardcover
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Language: English
Published by Springer Nature Singapore, Springer Nature Singapore 2021
Series: Studies in Big Data, Book 76 of 95. Book 76 of 95 - Studies in Big Data
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents applications of machine learning techniques in processing multimedia large-scale data. Multimedia such as text, image, audio, video, and graphics stands as one of the most demanding and exciting aspects of the information era. The book…discusses new challenges faced by researchers in dealing with these large-scale data and also presents innovative solutions to address several potential research problems, e.g., enabling comprehensive visual classification to fill the semantic gap by exploring large-scale data, offering a promising frontier for detailed multimedia understanding, as well as extract patterns and making effective decisions by analyzing the large collection of data.
Language: English
Published by Springer, Springer 2022
Series: Studies in Big Data, Book 76 of 95. Book 76 of 95 - Studies in Big Data
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents applications of machine learning techniques in processing multimedia large-scale data. Multimedia such as text, image, audio, video, and graphics stands as one of the most demanding and exciting aspects of the information era. Th…e book discusses new challenges faced by researchers in dealing with these large-scale data and also presents innovative solutions to address several potential research problems, e.g., enabling comprehensive visual classification to fill the semantic gap by exploring large-scale data, offering a promising frontier for detailed multimedia understanding, as well as extract patterns and making effective decisions by analyzing the large collection of data.
