Multimodal Analytics for Next-generation Big Data Technologies and Applications
Seng, Kah Phooi (Editor)/ Ang, Li-minn (Editor)/ Liew, Alan Wee-chung (Editor)/ Gao, Junbin (Editor)
Language: English
Published by Springer-Verlag New York Inc, 2019
- Hardcover
- New
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
US$ 275.30
Quantity: 2 available
Add to basketItem description from seller
408 pages. 9.25x6.10x1.26 inches. In Stock.
Seller Inventory # x-3319975978
- Title
- Multimodal Analytics for Next-generation Big Data Technologies and Applications
- Author
- Seng, Kah Phooi (Editor)/ Ang, Li-minn (Editor)/ Liew, Alan Wee-chung (Editor)/ Gao, Junbin (Editor)
- Publisher
- Springer-Verlag New York Inc
- Publication year
- 2019
- Condition
- Brand New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3319975978
- ISBN 13
- 9783319975979
- Item weight
- 0.77 kilograms
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
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Edward Bowditch Ltd
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Exeter, United Kingdom EX3 0PP
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