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portada Multimodal Analytics for Next-Generation Big Data Technologies and Applications
Type
Physical Book
Publisher
Author
Language
English
Pages
391
Format
Hardcover
Dimensions
23.4x15.6x2.4 cm
Weight
0.74 kg.
ISBN13
9783319975979
Categories

Multimodal Analytics for Next-Generation Big Data Technologies and Applications

Seng, Kah Phooi ; Ang, Li-Minn ; Liew, Alan Wee-Chung (Author) · Springer · Hardcover

Multimodal Analytics for Next-Generation Big Data Technologies and Applications - Seng, Kah Phooi ; Ang, Li-Minn ; Liew, Alan Wee-Chung

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Synopsis "Multimodal Analytics for Next-Generation Big Data Technologies and Applications"

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.

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The binding of this edition is Hardcover.

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