𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

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

✍ Scribed by Zhengming Ding, Handong Zhao, Yun Fu


Publisher
Springer International Publishing
Year
2019
Tongue
English
Leaves
272
Series
Advanced Information and Knowledge Processing
Edition
1st ed.
Category
Library

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No coin nor oath required. For personal study only.

✦ Synopsis


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.

✦ Table of Contents


Front Matter ....Pages i-x
Introduction (Zhengming Ding, Handong Zhao, Yun Fu)....Pages 1-6
Front Matter ....Pages 7-7
Multi-view Clustering with Complete Information (Zhengming Ding, Handong Zhao, Yun Fu)....Pages 9-50
Multi-view Clustering with Partial Information (Zhengming Ding, Handong Zhao, Yun Fu)....Pages 51-65
Multi-view Outlier Detection (Zhengming Ding, Handong Zhao, Yun Fu)....Pages 67-95
Front Matter ....Pages 97-97
Multi-view Transformation Learning (Zhengming Ding, Handong Zhao, Yun Fu)....Pages 99-126
Zero-Shot Learning (Zhengming Ding, Handong Zhao, Yun Fu)....Pages 127-144
Front Matter ....Pages 145-145
Missing Modality Transfer Learning (Zhengming Ding, Handong Zhao, Yun Fu)....Pages 147-173
Multi-source Transfer Learning (Zhengming Ding, Handong Zhao, Yun Fu)....Pages 175-202
Deep Domain Adaptation (Zhengming Ding, Handong Zhao, Yun Fu)....Pages 203-249
Deep Domain Generalization (Zhengming Ding, Handong Zhao, Yun Fu)....Pages 251-268

✦ Subjects


Computer Science; Data Mining and Knowledge Discovery; Pattern Recognition


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