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.
From the Back Cover
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.
"About this title" may belong to another edition of this title.
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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 (eng)
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Multimodal Analytics for Next-Generation Big Data Technologies and Applications
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Springer International Publishing Jul 2019, 2019
ISBN 10: 3319975978
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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
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Gebunden. 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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