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Buch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 352 pp. Englisch.
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Published by Springer Nature Singapore, Springer Nature Singapore Jan 2022, 2022
ISBN 10: 9811594945 ISBN 13: 9789811594946
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Taschenbuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 352 pp. Englisch.
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Published by Springer Nature Singapore, Springer Nature Singapore, 2021
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents applications of machine learning techniques in processing multimedia large-scale dataDiscusses new challenges faced by researchers in dealing with multimedia data Provides innovative solutions to address several potential re.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents applications of machine learning techniques in processing multimedia large-scale dataDiscusses new challenges faced by researchers in dealing with multimedia dataProvides innovative solutions to address several potential research p.
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Published by Springer Nature Singapore Jan 2022, 2022
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 352 pp. Englisch.
Language: English
Published by Springer Nature Singapore Jan 2021, 2021
ISBN 10: 9811594910 ISBN 13: 9789811594915
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 352 pp. Englisch.
Buch. Condition: Neu. Machine Learning for Intelligent Multimedia Analytics | Techniques and Applications | Pardeep Kumar (u. a.) | Buch | xiv | Englisch | 2021 | Springer | EAN 9789811594915 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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