Learning Representation for Multi-View Data Analysis: Models and Applications

Learning Representation for Multi-View Data Analysis: Models and Applications (Advanced Information and Knowledge Processing)
By 作者: Zhengming Ding - Handong Zhao - Yun Fu
ISBN-10 书号: 3030007332
ISBN-13 书号: 9783030007331
Edition 版本: 1st ed. 2019
Release Finelybook 出版日期: 2018-12-07
Pages 页数: (268 )

The 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

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