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Title Multimodal analytics for next-generation big data technologies and applications / editors, Kah Phooi Seng, Li-minn Ang. Alan Wee-Chung Liew nd Junbin Gao
Published Cham, Switzerland : Springer, [2019]
©2019
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Description 1 online resource : illustrations
Contents Foundations and Principles -- Advanced Information and Knowledge Processing -- Advanced Models and Architectures -- Advanced Applications and Future Trends
Summary 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
Bibliography Includes bibliographical references
Notes Vendor-supplied metadata
Subject Big data
Electronic data processing
Big data.
Electronic data processing.
Form Electronic book
Author Ang, Li-minn, 1971- editor
Gao, Junbin, editor
Liew, Alan Wee-Chung, 1968- editor
Seng, Kah Phooi, 1974- editor
ISBN 3319975978
3319975986
3319975994
9783319975979
9783319975986
9783319975993