Results 151 to 160 of about 2,111 (181)

Maximum Total Complex Correntropy for Adaptive Filter

IEEE Transactions on Signal Processing, 2020
Nowadays, complex Correntropy has been widely used for adaptive filtering in the complex domain. Compared with the second order statistics methods, the complex correntropy based algorithms have shown the superiority in the non-Gaussian noise, especially the impulsive noise.
Guobing Qian, Shiyuan Wang, Herbert H. C. Iu   +2 more
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Maximum correntropy recursive three-step filter

Systems & Control Letters
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Yike Zhang, Xinmin Song, Wei Xing Zheng
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Random Fourier Filters Under Maximum Correntropy Criterion

IEEE Transactions on Circuits and Systems I: Regular Papers, 2018
Random Fourier adaptive filters (RFAFs) project the original data into a high-dimensional random Fourier feature space (RFFS) such that the network structure of filters is fixed while achieving similar performance with kernel adaptive filters. The commonly used error criterion in RFAFs is the well-known minimum mean-square error (MMSE) criterion, which
Shiyuan Wang, Lujuan Dang, Badong Chen, Shukai Duan, Lidan Wang, Chi K. Tse   +5 more
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Kernel recursive maximum correntropy with Nyström approximation

Neurocomputing, 2019
Abstract Kernel adaptive filters (KAFs) with growing network structures incur high computational burden. Generally, sparsification methods are introduced to curb the growth of the filter structure under some threshold rules, resulting in a variable structure.
Shiyuan Wang, Lujuan Dang, Guobing Qian, Yunxiang Jiang   +3 more
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Orthogonal Maximum Correntropy Learning

2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP), 2022
Mingfei Lu, Badong Chen
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Robust tensor factorization using maximum correntropy criterion

2016 23rd International Conference on Pattern Recognition (ICPR), 2016
Traditional tensor decomposition methods, e.g., two dimensional principle component analysis (2DPCA) and two dimensional singular value decomposition (2DSVD), minimize mean square errors (MSE) and are sensitive to outliers. In this paper, we propose a new robust tensor factorization method using maximum correntropy criterion (MCC) to improve the ...
null Miaohua Zhang, null Yongsheng Gao, null Changming Sun, John La Salle, Junli Liang   +4 more
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Maximum Correntropy Two-Filter Smoothing

2023 26th International Conference on Information Fusion (FUSION), 2023
Yanbo Yang, Zhunga Liu, Yuemei Qin, Quan Pan, Qianqian Zhou   +4 more
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Linear Discriminant Analysis with Maximum Correntropy Criterion

2013
Linear Discriminant Analysis (LDA) is a famous supervised feature extraction method for subspace learning in computer vision and pattern recognition. In this paper, a novel method of LDA based on a new Maximum Correntropy Criterion optimization technique is proposed.
Wei Zhou, Sei-ichiro Kamata
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Maximum Correntropy Quaternion Kalman Filter

IEEE Transactions on Signal Processing, 2023
Dongyuan Lin, Qiangqiang Zhang, Xiaofeng Chen, Shiyuan Wang   +3 more
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The Kernel Recursive Maximum Total Correntropy Algorithm

IEEE Transactions on Circuits and Systems II: Express Briefs, 2022
Xinyan Hou, Haiquan Zhao, Xiaoqiang Long, Weidong Jin   +3 more
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