109 citations · 120 across the 3 of their papers we have counts for
3 papers
cs.LG2019★ 2 cited
Multi-Kernel Correntropy for Robust Learning
Badong Chen, Yuqing Xie, Xin Wang +3
As a novel similarity measure that is defined as the expectation of a kernel function between two random variables, correntropy has been successfully applied in robust machine lear…
stat.ML2019★ 109 cited
Maximum Correntropy Criterion with Variable Center
Badong Chen, Xin Wang, Yingsong Li +1
Correntropy is a local similarity measure defined in kernel space and the maximum correntropy criterion (MCC) has been successfully applied in many areas of signal processing and m…
stat.ML2016★ 9 cited
Robust Learning with Kernel Mean p-Power Error Loss
Badong Chen, Lei Xing, Xin Wang +2
Correntropy is a second order statistical measure in kernel space, which has been successfully applied in robust learning and signal processing. In this paper, we define a nonsecon…