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Advanced Information and Knowledge Processing

Learning Representation for Multi-View Data Analysis

Models and Applications

Authors: Ding, Zhengming, Zhao, Handong, Fu, Yun

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  • Broadens your understanding of multi-view data analysis
  • Explains how to design an effective multi-view data representation model
  • Reinforces multi-view representation principles with real-world practices
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  • ISBN 978-3-030-00734-8
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  • ISBN 978-3-030-00733-1
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About this book

This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers’ understanding from their similarity, and differences based on data organization and problem settings, as well as the research goal.

A comprehensive review exhaustively provides the key recent research on multi-view data analysis, i.e., multi-view clustering, multi-view classification, zero-shot learning, and domain adaption. More practical challenges in multi-view data analysis are discussed including incomplete, unbalanced and large-scale multi-view learning. Learning Representation for Multi-View Data Analysis covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.

Reviews

“The book should be well received by advanced postgraduate students and data (especially big data) analysts. A background in statistics, mathematics, and computing is a prerequisite for reading. It is surely a must-have reference book for any scientific library.” (Soubhik Chakraborty, Computing Reviews, May 07, 2019)

Table of contents (10 chapters)

Table of contents (10 chapters)

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-030-00734-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-030-00733-1
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Learning Representation for Multi-View Data Analysis
Book Subtitle
Models and Applications
Authors
Series Title
Advanced Information and Knowledge Processing
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-00734-8
DOI
10.1007/978-3-030-00734-8
Hardcover ISBN
978-3-030-00733-1
Series ISSN
1610-3947
Edition Number
1
Number of Pages
X, 268
Number of Illustrations
7 b/w illustrations, 69 illustrations in colour
Topics

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