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Learning Representation for Multi-View Data Analysis: Models and Applications (Advanced Information and Knowledge Processing) - Hardcover
Synopsis
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."synopsis" may belong to another edition of this title.
Review
“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)
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2018
- ISBN 10 3030007332
- ISBN 13 9783030007331
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages278
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Learning Representation for Multi-View Data Analysis. Models and Applications.
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23.5 cm x 15.5 cm, 584 g. X, 268 p. Hardcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Advanced Information and Knowledge Processing. Sprache: Englisch. Seller Inventory # 8988JB
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Learning Representation for Multi-View Data Analysis: Models and Applications (Advanced Information and Knowledge Processing)
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Learning Representation for Multi-View Data Analysis: Models and Applications (Advanced Information and Knowledge Processing)
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Learning Representation for Multi-View Data Analysis
Published by
Springer International Publishing Dez 2018, 2018
ISBN 10: 3030007332
ISBN 13: 9783030007331
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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 problemsettings, 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. 280 pp. Englisch. Seller Inventory # 9783030007331
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Learning Representation for Multi-View Data Analysis
Published by
Springer International Publishing, 2018
ISBN 10: 3030007332
ISBN 13: 9783030007331
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Broadens your understanding of multi-view data analysisExplains how to design an effective multi-view data representation modelReinforces multi-view representation principles with real-world practices. Seller Inventory # 238283516
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Learning Representation for Multi-View Data Analysis : Models and Applications
Published by
Springer International Publishing, 2018
ISBN 10: 3030007332
ISBN 13: 9783030007331
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Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 problemsettings, 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. Seller Inventory # 9783030007331
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Learning Representation for Multi-view Data Analysis
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ISBN 10: 3030007332
ISBN 13: 9783030007331
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Hardcover. Condition: Brand New. 278 pages. 9.25x6.10x0.79 inches. In Stock. Seller Inventory # x-3030007332
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Learning Representation for Multi-View Data Analysis: Models and Applications (Advanced Information and Knowledge Processing)
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