رکورد قبلیرکورد بعدی

" Learning representation for multi-view data analysis : "


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