Learning Representation for Multi-View Data Analysis: Models and Applications (Advanced Information and Knowledge Processing)
Authors: Zhengming Ding - Handong Zhao - Yun Fu
ISBN-10 书号: 3030007332
ISBN-13 书号: 9783030007331
Edition 版本: 1st ed. 2019
Publisher Finelybook 出版日期: 2018-12-07
Pages: 268 pages
Book Description
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.
Cover
1.Introduction
Partl.Unsupervised Multi-view Learning
2.Muti-view Clustering with Complete Information
3.Multi-view Clustering with Partial Information
4.Muti-view Outier Detection
Partll.Supervised Multi-view Classification
5.Muti-view Transformation Learning
6.Zero-Shot Learning
Partll.Transfer Learning
7.Missing Modalty Transfer Learning
8.Muti-source Transfer Learning
9.Deep Domain Adaptation
10.Deep Domain Generalization