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Learning Representation for Multi-View Data Analysis = Models and Applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Learning Representation for Multi-View Data Analysis/ by Zhengming Ding, Handong Zhao, Yun Fu.
Reminder of title:	Models and Applications /
Author:	Ding, Zhengming.
other author:	Zhao, Handong.
Description:	X, 268 p. 76 illus., 69 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-00734-8
ISBN:	9783030007348

Learning Representation for Multi-View Data Analysis = Models and Applications /
Ding, Zhengming.

Learning Representation for Multi-View Data AnalysisModels and Applications /[electronic resource] :by Zhengming Ding, Handong Zhao, Yun Fu. - 1st ed. 2019. - X, 268 p. 76 illus., 69 illus. in color.online resource. - Advanced Information and Knowledge Processing,1610-3947. - Advanced Information and Knowledge Processing,.

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. .

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.

ISBN: 9783030007348

Standard No.: 10.1007/978-3-030-00734-8doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Learning Representation for Multi-View Data Analysis = Models and Applications /
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