Technical Program

Note: All times are in Pacific Daylight Time (UTC -7)

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