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Published by Springer International Publishing, 2019
ISBN 10: 3319975978 ISBN 13: 9783319975979
Language: English
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Add to basketBuch. 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.
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Published by Springer-Verlag New York Inc, 2019
ISBN 10: 3319975978 ISBN 13: 9783319975979
Language: English
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Published by Springer International Publishing, 2019
ISBN 10: 3319975978 ISBN 13: 9783319975979
Language: English
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Add to basketCondition: 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.
Published by Springer International Publishing Jul 2019, 2019
ISBN 10: 3319975978 ISBN 13: 9783319975979
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketBuch. 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.
Published by Springer International Publishing, Springer International Publishing Jul 2019, 2019
ISBN 10: 3319975978 ISBN 13: 9783319975979
Language: English
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Add to basketBuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 408 pp. Englisch.