Badong Chen
Cited by
Cited by
Maximum correntropy Kalman filter
B Chen, X Liu, H Zhao, JC Príncipe
Automatica 76, 70-77, 2017
Generalized correntropy for robust adaptive filtering
B Chen, L Xing, H Zhao, N Zheng, JC Principe
IEEE Transactions on Signal Processing 64 (13), 3376-3387, 2016
Quantized kernel least mean square algorithm
B Chen, S Zhao, P Zhu, JC Príncipe
IEEE Transactions on Neural Networks and Learning Systems 23 (1), 22-32, 2012
Similarity learning with spatial constraints for person re-identification
D Chen, Z Yuan, B Chen, N Zheng
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Weighted-permutation entropy: A complexity measure for time series incorporating amplitude information
B Fadlallah, B Chen, A Keil, J Príncipe
Physical Review E 87 (2), 022911, 2013
Steady-state mean-square error analysis for adaptive filtering under the maximum correntropy criterion
B Chen, L Xing, J Liang, N Zheng, JC Principe
IEEE signal processing letters 21 (7), 880-884, 2014
Hybrid-augmented intelligence: collaboration and cognition
N Zheng, Z Liu, P Ren, Y Ma, S Chen, S Yu, J Xue, B Chen, F Wang
Frontiers of Information Technology & Electronic Engineering 18 (2), 153-179, 2017
Convergence of a fixed-point algorithm under maximum correntropy criterion
B Chen, J Wang, H Zhao, N Zheng, JC Príncipe
IEEE Signal Processing Letters 22 (10), 1723-1727, 2015
Maximum correntropy estimation is a smoothed MAP estimation
B Chen, JC Príncipe
IEEE Signal Processing Letters 19 (8), 491-494, 2012
Kernel adaptive filtering with maximum correntropy criterion
S Zhao, B Chen, JC Principe
Neural Networks (IJCNN), The 2011 International Joint Conference on, 2012-2017, 2011
Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments
W Ma, H Qu, G Gui, L Xu, J Zhao, B Chen
Journal of the Franklin Institute 352 (7), 2708-2727, 2015
Quantized kernel recursive least squares algorithm
B Chen, S Zhao, P Zhu, JC Principe
IEEE transactions on neural networks and learning systems 24 (9), 1484-1491, 2013
System parameter identification: information criteria and algorithms
B Chen, Y Zhu, J Hu, JC Principe
Newnes, 2013
Disturbance observer based composite learning fuzzy control of nonlinear systems with unknown dead zone
B Xu, F Sun, Y Pan, B Chen
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2016
Kernel recursive maximum correntropy
Z Wu, J Shi, X Zhang, W Ma, B Chen
Signal Processing 117, 11-16, 2015
Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering
B Chen, L Xing, B Xu, H Zhao, N Zheng, JC Principe
IEEE Transactions on Signal Processing 65 (11), 2888-2901, 2017
Brain-inspired cognitive model with attention for self-driving cars
S Chen, S Zhang, J Shang, B Chen, N Zheng
IEEE Transactions on Cognitive and Developmental Systems 11 (1), 13-25, 2017
Mixture Correntropy for Robust Learning
B Chen, X Wang, N Lu, S Wang, J Cao, J Qin
Pattern Recognition, 2018
Blocked Maximum Correntropy Criterion Algorithm for Cluster-Sparse System Identifications
Y Li, Z Jiang, W Shi, X Han, B Chen
IEEE Transactions on Circuits and Systems II: Express Briefs, 2019
Diffusion maximum correntropy criterion algorithms for robust distributed estimation
W Ma, B Chen, J Duan, H Zhao
Digital Signal Processing 58, 10-19, 2016
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