Learning Representation for Multi-View Data Analysis

Language: English

Published by Springer, Springer Dez 2018, 2018

3030007332 / 9783030007331

Series: Book 58 of 66 - Advanced Information and Knowledge Processing

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 280 pp. Englisch.…

Seller Inventory # 9783030007331

Title
Learning Representation for Multi-View Data Analysis
Author
Zhengming Ding
Publisher
Springer, Springer Dez 2018
Publication year
2018
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3030007332
ISBN 13
9783030007331
Item weight
588 grams
Dimensions
241x160x21 mm
Series
Book 58 of 66: Advanced Information and Knowledge Processing

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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