为促进学术交流，特邀北京大学计算机学院林宙辰教授来校作学术报告，欢迎广大师生踊跃参加。 

    报告题目: Low Rank Representation - Theories, Algorithms and Applications 

    报告时间：5月3日上午 9：30 

    报告地点：学科楼三号楼S509 

    主持人：刘青山教授 

    Abstract: In this talk, I will introduce a robust subspace clustering method, called low rank representation (LRR). It is a combination of sparse subspace clustering (SSC) and robust PCA (RPCA). LRR can be much more robust to corruptions and outliers than SSC for subspace clustering. I will also present some striking properties of LRR, efficient algorithms to solve LRR, and some interesting applications and generalizations of LRR. 

    Bio: 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. He is also a Chair Professor at Northeast Normal University and a guest professor at Beijing Jiao Tong University. Before March 2012, he was a Lead Researcher at Visual Computing Group, Microsoft Research Asia. He was a guest professor at Shanghai Jiaotong University and Southeast University, and a guest researcher at Institute of Computing Technology, Chinese Academy of Sciences. His research interests include computer vision, image processing, computer graphics, machine learning, pattern recognition, and numerical computation and optimization. He is an associate editor of Neurocomputing and a Senior member of the IEEE.