Multimodal Analytics for Next-Generation Big Data Technologies and Applications (1st ed. 2019)
By: and and and
Sign Up Now!
Already a Member? Log In
You must be logged into Bookshare to access this title.
Learn about membership options,
or view our freely available titles.
- 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.
- Copyright:
- 2019
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783319975986
- Related ISBNs:
- 9783319975979
- Publisher:
- Springer International Publishing
- Date of Addition:
- 07/21/19
- Copyrighted By:
- Springer
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Kah Phooi Seng
- Edited by:
- Li-minn Ang
- Edited by:
- Alan Wee-Chung Liew
- Edited by:
- Junbin Gao
Reviews
Other Books
- by Li-Minn Ang
- by Kah Phooi Seng
- by Alan Wee-Chung Liew
- by Junbin Gao
- in Nonfiction
- in Computers and Internet