Multimodal Analytics for Next-Generation Big Data Technologies and Applications

[Editors]Kah Phooi Seng,Li-minn Ang,Alan Wee-Chung Liew,Junbin Gao

ISBN 10: 3319975978 / ISBN 13: 9783319975979

Edité par Springer, 2019

A propos de cet article

2019.Hardcover.Very good condition.391 pages.Ships from Japan.Usually ships in 1-2 working days.

N° de réf. du vendeur 26161

Détails bibliographiques

• Titre: Multimodal Analytics for Next-Generation Big Data Technologies and Applications
• Éditeur: Springer
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 3319975978
• ISBN à 13 chiffres: 9783319975979
• Reliure: Hardcover
• Édition: 1st Edition
• État de l'article: Very Good
• État de la jaquette: No Jacket

A propos de ce titre

Synopsis

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.