国家数学与交叉科学中心合肥分中心报告会

题  目： Rank Minimization -- Theories, Algorithms and Applications
 
报告人： 林宙辰 北京大学

时  间： 2012年11月19日(周一) 下午2:00-3:30

地  点： 管理科研楼1518

 
摘  要： Vector-based sparse representation has been a hot topic in recent years. When facing with high-order data, such as images or videos, it is not optimal to treat them as vectors. Hence, new theories and algorithms for high-order sparsity have been being developed, which are based on rank minimization. In this talk, I will introduce some basic theories and algorithms of rank minimization. Some interesting applications will also be presented.

报告人简介：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.

主办单位：中国科学技术大学数学科学学院

         国家数学与交叉科学中心合肥分中心

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