报告人：林宙辰
报告地点：数学与统计学院501室
报告时间：2011年09月19日（星期一）16:30-17:30
邀请人：
报告摘要：
Rank minimization is now a hot topic in signal processing and machine learning. It has been proven to be a strong global constraint and good measure of 2D sparsity. In this talk, I will present the latest advances in the theory, algorithm, and applications of rank minimization, mainly based on the work that was done in Microsoft Research Asia.
主讲人简介：
Dr. Zhouchen Lin is a Lead Researcher at Visual Computing Group, Microsoft Research Asia. He received the Ph.D. degree in applied mathematics from Peking University in 2000. He is now a chaired professor to Northeast Normal University and a guest professor to Shanghai Jiaotong University, Beijing Jiaotong University and Southeast University. He is also a guest researcher to 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 a Senior member of the IEEE.
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