Table of Contents

Chapter 1. Introduction.- Chapter 2. Multiview Semi-supervised Learning.- Chapter 3. Multiview Subspace Learning.- Chapter 4. Multiview Supervised Learning.- Chapter 5. Multiview Clustering.- Chapter 6. Multiview Active Learning.- Chapter 7. Multiview Transfer Learning and Multitask Learning.- Chapter 8. Multiview Deep Learning.- Chapter 9. View Construction.

About the Author

Shiliang Sun received his Ph.D. degree in pattern recognition and intelligent systems from Tsinghua University, Beijing, China, in 2007. He is now a professor at the Department of Computer Science and Technology and the head of the Pattern Recognition and Machine Learning Research Group, East China Normal University, Shanghai, China. His current research interests include multiview learning, kernel methods, learning theory, probabilistic models, approximate inference, and sequential modeling. He has published 150+ research articles at peer-reviewed journals and international conferences. Prof. Sun is on the editorial board of several international journals, including IEEE Transactions on Neural Networks and Learning Systems, Information Fusion, and Pattern Recognition.

Liang Mao is a senior Ph.D. student at the Department of Computer Science and Technology and the Pattern Recognition and Machine Learning Research Group, East China Normal University, Shanghai, China.His main research interest is multiview learning and probabilistic models.