报 告 人：Chenglong Bao
报告题目：Sparse coding based data-driven representation in image processing: models and algorithms
报告时间：2017年10月16日（周一）下午16:30
报告地点：静远楼1506报告厅
主办单位：数学与统计学院、科技处
报告人简介：
Chenglong Bao is currently a research fellow in department of mathematics, National university of Singapore. His main research interests are the mathematical modeling and analysis for problems in imaging science and high dimensional data analysis. He has published several papers in top journals and conference in applied math and computer vision including ACHA, Inverse Problems, IEEE TPAMI, CVPR, ICCV, ECCV, etc. The total citation is more than 850 in google scholar.
报告摘要：
In recent years, sparse coding has been widely used in many applications ranging from image processing to pattern recognition. In this talk, I will introduce some sparse coding based dictionary learning methods in image processing. An alternating numerical scheme for solving the resulting minimization problems will be present and show advantages both in convergence theory and numerical experiments over the K-SVD methods.
