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Correntropy Maximization via ADMM - Application to Robust Hyperspectral
  Unmixing

Correntropy Maximization via ADMM - Application to Robust Hyperspectral Unmixing

4 February 2016
Fei Zhu
Abderrahim Halimi
P. Honeine
Badong Chen
Nanning Zheng
ArXiv (abs)PDFHTML

Papers citing "Correntropy Maximization via ADMM - Application to Robust Hyperspectral Unmixing"

4 / 4 papers shown
Title
Broad Learning System Based on Maximum Correntropy Criterion
Broad Learning System Based on Maximum Correntropy Criterion
Yunfei Zheng
Badong Chen
Shiyuan Wang
Weiqun Wang
28
64
0
24 Dec 2019
Robust Learning with Kernel Mean p-Power Error Loss
Robust Learning with Kernel Mean p-Power Error Loss
Badong Chen
Lei Xing
Xin Wang
J. Qin
Nanning Zheng
41
64
0
21 Dec 2016
Kernel Risk-Sensitive Loss: Definition, Properties and Application to
  Robust Adaptive Filtering
Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering
Badong Chen
Lei Xing
Bin Xu
Haiquan Zhao
Nanning Zheng
José C. Príncipe
40
145
0
01 Aug 2016
Fast Hyperspectral Unmixing in Presence of Nonlinearity or Mismodelling
  Effects
Fast Hyperspectral Unmixing in Presence of Nonlinearity or Mismodelling Effects
Abderrahim Halimi
J. Bioucas-Dias
N. Dobigeon
G. Buller
S. Mclaughlin
58
59
0
18 Jul 2016
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