Results 161 to 170 of about 935 (185)

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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Performance Analysis of Maximum-Correntropy Based Detection for SCMA

IEEE Communications Letters, 2021
Non-orthogonal multiple access (NOMA) has emerged as a promising multiple-access technique capable of accommodating many users over limited time-frequency resources. Among several NOMA techniques, sparse code multiple access (SCMA) has emerged as viable due to its promise of high coding-gain by appropriate codebook-design and simplistic detection using
Elie Sfeir, Rangeet Mitra, Georges Kaddoum, Vimal Bhatia   +3 more
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Distributed maximum correntropy filtering for a class of multi-rate systems over sensor networks

Information Fusion
Data availability: Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.In this paper, the distributed maximum correntropy filtering problem is investigated for a class of multi-rate systems ...
Zidong Wang, Hongli Dong
exaly   +2 more sources

Maximum correntropy criterion for discriminative dictionary learning

2013 IEEE International Conference on Image Processing, 2013
In this paper, a novel discriminative dictionary learning with pairwise constraints by maximum correntropy criterion is proposed for pair matching problem. Comparing with the conventional dictionary learning approaches, the proposed method has several advantages: (i) It can deal with the outliers and noises problem more efficiently during the ...
Pengyi Hao, Sei-ichiro Kamata
openaire   +1 more source

A maximum correntropy criterion for robust multidimensional scaling

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015
Multidimensional Scaling (MDS) refers to a class of dimensionality reduction techniques applied to pairwise dissimilarities between objects, so that the interpoint distances in the space of reduced dimensions approximate the initial pairwise dissimilarities as closely as possible.
Fotios D. Mandanas, Constantine Kotropoulos   +1 more
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Maximum correntropy recursive three-step filter

Systems & Control Letters
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yike Zhang, Xinmin Song, Wei Xing Zheng 0001   +2 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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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 Two-Filter Smoothing

2023 26th International Conference on Information Fusion (FUSION), 2023
Yanbo Yang 0001, Zhunga Liu, Yuemei Qin, Quan Pan 0001, Qianqian Zhou   +4 more
openaire   +1 more source

Maximum Correntropy Quaternion Kalman Filter

IEEE Transactions on Signal Processing, 2023
Dongyuan Lin, Qiangqiang Zhang, Xiaofeng Chen 0009, Shiyuan Wang   +3 more
openaire   +1 more source