Download the fantastic book titled Multimodal Analytics for Next Generation Big Data Technologies and Applications written by Kah Phooi Seng, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Multimodal Analytics for Next Generation Big Data Technologies and Applications", which was released on 18 July 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Multimodal Analytics for Next Generation Big Data Technologies and Applications by Kah Phooi Seng PDF
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.
Detail About Multimodal Analytics for Next Generation Big Data Technologies and Applications PDF
- Author : Kah Phooi Seng
- Publisher : Springer
- Genre : Computers
- Total Pages : 391 pages
- ISBN : 3319975986
- Release Date : 18 July 2019
- PDF File Size : 46,9 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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