报告人：包承龙副教授

              清华大学

报告题目：sparse representations in vision: algorithm, applications and beyond

报告时间：2018年4月13日下午15:00

报告地点：海韵实验楼108

报告摘要：In recent years, the concept of sparse representation has been widely used in many applications. Among extensive works in this direction, K-SVD is a typical method in the dictionary learning. However, the convergence of K-SVD is not clear. In this talk, I will introduce an efficient numerical algorithm for solving L0-norm related problems with convergence guarantee. Moreover, some variants of dictionary learning models are proposed for dynamic texture classification and cerebellar functional parcellation

联系人：邱建贤教授、杜魁教授

欢迎广大师生参加！