D-17: Robust Learning with Maximum Correntropy Criterion (invited) |
Session Type: Virtual |
Time: Tuesday, November 02, 11:15 - 12:45 |
Location: Room 3 |
Virtual Session: Attend on Virtual Platform |
Session Chairs: Badong Chen, Xi’an Jiaotong University, China and Siyuan Peng, Guangdong University of Technology, China |
D-17.1: Online robust tensor ring completion for streaming data |
Yicong He; University of Central Florida |
D-17.2: Towards Sparse Linear Regression With Correntropy-Based Loss Function |
Jianyuan Li; University of Science and Technology Beijing |
Xiong Luo; University of Science and Technology Beijing |
Maojian Chen; University of Science and Technology Beijing |
D-17.3: Correntropy based semi-supervised concept factorization for data representation |
Siyuan Peng; Guangdong University of Technology |
Badong Chen; Xi’an Jiaotong University |
D-17.4: Facial Nerve Paralysis Assessment based on Regularized Correntropy Criterion SSELMvc and Cascade CNN |
Xiangyong Tan; Hangzhou Dianzi University |
Jie Yang; Hangzhou Dianzi University |
Jiuwen Cao; Hangzhou Dianzi University |
D-17.5: Correntropy based Sparse ICP for 3D Point Set Registration |
Nan Zhou; Chengdu University of Information Technology |
Xiuhua Xing; Chengdu University of Information Technology |
Jun Liu; Chengdu University of Information Technology |
Kechang Fu; Chengdu University of Information Technology |
Kup-Sze Choi; Centre for Smart Health, School of Nursing, The Hong Kong Polytechnic University |