Titlebook: Biometric Recognition; 11th Chinese Confere Zhisheng You,Jie Zhou,Qijun Zhao Conference proceedings 2016 Springer International Publishing

Accomplish

Yasemin Kırkgöz,Carol Griffithsby illumination and occlusion. Motivated by convolutional architecture of deep learning and the advantages of KMeans algorithm in filters learning. In this paper, a simple yet effective face recognition approach is proposed, which consists of three components: convolutional filters learning, nonline

混合

不如屎壳郎

condescend

https://doi.org/10.1007/978-3-030-74958-3 novel low rank and weighted sparse graph. First, we utilize exact low rank representation by the nuclear norm and Forbenius norm to capture the global subspace structure. Meanwhile, we build the weighted sparse regularization term with shape interaction information to capture the local linear struc

Obituary

减弱不好

gerrymander

Neural Underpinnings of Semantic Processingral face recognition methods dealing with visible light images are unqualified. Cross-domain face recognition refers to a series of methods in response to face recognition problems whose inputs may come from multiple modalities, such as visible light images, sketch, near infrared images, 3D data, lo

分散

fetter

半圆凿