Multimodal Analytics for Next-Generation Big Data Technologies and Applications - Hardcover

 
9783319975979: Multimodal Analytics for Next-Generation Big Data Technologies and Applications
Hardcover
ISBN 10: 3319975978 ISBN 13: 9783319975979
Verlag: Springer, 2019

Inhaltsangabe

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Von der hinteren Coverseite

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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
3319975978
ISBN 13 
9783319975979
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
406
Herausgeber
Seng Kah Phooi, Ang Li-minn, Liew Alan Wee-Chung, Gao Junbin
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