Multimodal Analytics for Next-Generation Big Data Technologies and Applications

Lieferzeit: Lieferbar innerhalb 14 Tagen

160,49 

ISBN: 3319975978
ISBN 13: 9783319975979
Herausgeber: Kah Phooi Seng/Li-minn Ang/Alan Wee-Chung Liew et al
Verlag: Springer Verlag GmbH
Umfang: xv, 391 S., 41 s/w Illustr., 109 farbige Illustr., 391 p. 150 illus., 109 illus. in color.
Erscheinungsdatum: 30.07.2019
Auflage: 1/2019
Produktform: Gebunden/Hardback
Einband: Gebunden

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.

Artikelnummer: 5289927 Kategorie:

Beschreibung

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.

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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