Maximum correntropy Kalman filter B Chen, X Liu, H Zhao, JC Príncipe Automatica 76, 70-77, 2017 | 688 | 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 | 617 | 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 | 446 | 2012 |
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 | 423 | 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 | 412 | 2014 |
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 | 391 | 2016 |
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 | 359 | 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 | 281 | 2015 |
Maximum correntropy estimation is a smoothed MAP estimation B Chen, JC Príncipe IEEE Signal Processing Letters 19 (8), 491-494, 2012 | 230 | 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 | 229 | 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 | 209 | 2015 |
System parameter identification: information criteria and algorithms B Chen, Y Zhu, J Hu, JC Principe Newnes, 2013 | 197 | 2013 |
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 | 194 | 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 | 184 | 2016 |
Kernel recursive maximum correntropy Z Wu, J Shi, X Zhang, W Ma, B Chen Signal Processing 117, 11-16, 2015 | 164 | 2015 |
Minimum error entropy Kalman filter B Chen, L Dang, Y Gu, N Zheng, JC Príncipe IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (9), 5819-5829, 2019 | 153 | 2019 |
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 | 152 | 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 | 147 | 2017 |
Mixture Correntropy for Robust Learning B Chen, X Wang, N Lu, S Wang, J Cao, J Qin Pattern Recognition, 2018 | 146 | 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 | 128 | 2019 |