主  題:Matrix Regression: A 2D Model for Robust Image Representation

內(nèi)容簡(jiǎn)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.

報(bào)告人：楊健    杰青        多個(gè)國(guó)際一流SCI源學(xué)術(shù)期刊編委

時(shí)  間: 2016-02-26    15:30

地  點(diǎn)：致明樓誠(chéng)信廳

舉辦單位：工學(xué)院