A novel network model based ICA filter for face recognition
Yongqing Zhang, Tianyu Geng, Ying Cai · 2017
Despite the great success of deep learning convolution networks, researchers are not yet clear about its feature learning mechanism and optimal network configuration. In this paper, we present a cascaded linear convolution network based on ICA filters, termed ICANet. ICANet mainly includes three parts: convolution layer, binary hash and block histogram. The results show that ICANet has a very good performance in face recognition tasks.