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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
BOOK DOWNLOAD

Multimodal Analytics for Next-Generation Big Data Technologies and Applications

10.00$

1st ed. 2019 Edition 

by Kah Phooi Seng (Editor), Li-minn Ang (Editor), Alan Wee-Chung Liew (Editor), Junbin Gao (Editor) 

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.

Year:
2019
Pages:
391
Language:
English
Format:
PDF
Size:
15 MB
ISBN-10:
3319975978
ISBN-13:
978-3319975979
ASIN:
B07FKGQQN7
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