Table of Contents

1. Introduction
2. Linear Models
3. Nonlinear Models
4. Optimization Algorithms
5. Representative Applications
6. Conclusions

Promotional Information

Helps users master the theory and state-of-the-art of low-rank models in visual analysis

About the Author

Zhouchen Lin received the Ph.D. degree in applied mathematics from Peking University in 2000. He is currently a Professor at Key Laboratory of Machine Perception
(MOE), School of Electronics Engineering and Computer Science, Peking University. His research areas include computer vision, image processing, machine learning, pattern recognition, and numerical optimization. He is an area chair of CVPR 2014/2016, ICCV 2015 and NIPS 2015 and a senior program committee member of AAAI 2016/2017 and IJCAI 2016. He is an associate editor of IEEE Trans. Pattern Analysis and Machine Intelligence and International J. Computer Vision. He is an
IAPR fellow. Hongyang Zhang received the Master’s degree in computer science from Peking University, Beijing, China in 2015. He is now a Ph.D. candidate in Machine Learning
Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, USA. His research areas include machine learning, statistics, and optimization.