Computers & Internet Books:

Learning Representation for Multi-View Data Analysis

Models and Applications
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$340.00
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Description

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.
Release date NZ
December 17th, 2018
Pages
268
Edition
1st ed. 2019
Audience
  • Professional & Vocational
Illustrations
69 Illustrations, color; 7 Illustrations, black and white; X, 268 p. 76 illus., 69 illus. in color.
ISBN-13
9783030007331
Product ID
28338752

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