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" Learning representation for multi-view data analysis : "
Zhengming Ding, Handong Zhao, Yun Fu.
Document Type
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BL
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Record Number
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859270
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Main Entry
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Ding, Zhengming
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Title & Author
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Learning representation for multi-view data analysis : : models and applications /\ Zhengming Ding, Handong Zhao, Yun Fu.
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Publication Statement
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Cham, Switzerland :: Springer,, [2019]
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Series Statement
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Advanced information and knowledge processing
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Page. NO
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1 online resource (xi, 268 pages)
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ISBN
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3030007340
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: 3030007359
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: 9783030007348
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: 9783030007355
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3030007332
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9783030007331
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Bibliographies/Indexes
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Includes bibliographical references.
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Contents
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Introduction -- Multi-view Clustering with Complete Information -- Multi-view Clustering with Partial Information -- Multi-view Outlier Detection -- Multi-view Transformation Learning -- Zero-Shot Learning -- Missing Modality Transfer Learning -- Deep Domain Adaptation -- Deep Domain Generalization.
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Abstract
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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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Subject
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Learning models (Stochastic processes)
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Subject
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Machine learning.
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Subject
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Learning models (Stochastic processes)
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Subject
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Machine learning.
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Dewey Classification
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006.3/1
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LC Classification
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Q325.5.D56 2019
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Added Entry
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Fu, Yun
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Zhao, Handong
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