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portada Learning Representation for Multi-View Data Analysis: Models and Applications (Advanced Information and Knowledge Processing)
Type
Physical Book
Publisher
Author
Year
2018
Language
English
Pages
268
Format
Hardcover
ISBN13
9783030007331
Edition No.
2019
Categories

Learning Representation for Multi-View Data Analysis: Models and Applications (Advanced Information and Knowledge Processing)

Zhengming Ding; Handong Zhao; Yun Fu (Author) · Springer · Hardcover

Learning Representation for Multi-View Data Analysis: Models and Applications (Advanced Information and Knowledge Processing) - Zhengming Ding; Handong Zhao; Yun Fu

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Synopsis "Learning Representation for Multi-View Data Analysis: Models and Applications (Advanced Information and Knowledge Processing) "

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.

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