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Synopsis
This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications.
The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence.
"synopsis" may belong to another edition of this title.
- PublisherSpringer
- Publication date2019
- ISBN 10 3319975978
- ISBN 13 9783319975979
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages406
- EditorSeng Kah Phooi, Ang Li-minn, Liew Alan Wee-Chung, Gao Junbin
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Multimodal Analytics for Next-Generation Big Data Technologies and Applications
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Multimodal Analytics for Next-Generation Big Data Technologies and Applications
Published by
Springer International Publishing Jul 2019, 2019
ISBN 10: 3319975978
ISBN 13: 9783319975979
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications. The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence. 408 pp. Englisch. Seller Inventory # 9783319975979
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Multimodal Analytics for Next-Generation Big Data Technologies and Applications
Published by
Springer International Publishing, 2019
ISBN 10: 3319975978
ISBN 13: 9783319975979
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explains multimodality data analytics in big data environmentsImportant techniques applied to image and speech processing, multimodal information processing, data science, and artificial intelligenceValuable for researchers, professionals a. Seller Inventory # 231994159
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Multimodal Analytics for Next-Generation Big Data Technologies and Applications
Published by
Springer International Publishing, 2019
ISBN 10: 3319975978
ISBN 13: 9783319975979
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications. The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence. Seller Inventory # 9783319975979
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Multimodal Analytics for Next-Generation Big Data Technologies and Applications
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