主 题:Matrix Regression: A 2D Model for Robust Image Representation
内容简介: We first outline the existing regression methods and their applications to face recognition. Then, we present the concept of matrix regression, which uses nuclear norm to characterize the representation error in a 2D matrix form. The ADMM algorithm and its fast version are developed for solving the matrix regression problem. We further analyze the optimality of using nuclear norm for error characterization. We also discuss some extensions of matrix regression model and their applications to face recognition.
报告人：杨健 杰青 长江学者 多个国际一流SCI源学术期刊编委
时 间: 2016-02-26 15:30