Pulsar profile denoising using kernel regression based on maximum correntropy criterion
Sign Up to like & getrecommendations! Published in 2017 at "Optik"
DOI: 10.1016/j.ijleo.2016.10.132
Abstract: Abstract A pulsar profile denoising method using kernel regression based on maximum correntropy criterion is proposed. This method uses the kernel regression to reduce the human visual inspection inescapable in the current profile denoising methods… read more here.
Keywords: kernel regression; regression; maximum correntropy; profile denoising ... See more keywords
An Accurate and Robust Gaze Estimation Method Based on Maximum Correntropy Criterion
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2896303
Abstract: Accurately estimating the user’s gaze is important in many applications, such as human–computer interaction. Due to great convenience, appearance-based methods for gaze estimation have been a popular subject of research for many years. However, the… read more here.
Keywords: maximum correntropy; method; correntropy criterion; estimation ... See more keywords
Towards Robust State Estimation by Boosting the Maximum Correntropy Criterion Kalman Filter With Adaptive Behaviors
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3073646
Abstract: This work proposes a resilient and adaptive state estimation framework for robots operating in perceptually-degraded environments. The approach, called Adaptive Maximum Correntropy Criterion Kalman Filtering (AMCCKF), is inherently robust to corrupted measurements, such as those… read more here.
Keywords: state estimation; maximum correntropy; criterion kalman; correntropy criterion ... See more keywords
Maximum Correntropy Criterion With Variable Center
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2019.2925692
Abstract: Correntropy is a local similarity measure defined in kernel space, and the maximum correntropy criterion (mcc) has been successfully applied in many areas of signal processing and machine learning in recent years. The kernel function… read more here.
Keywords: maximum correntropy; center; criterion; correntropy criterion ... See more keywords
An Innovative Transient Analysis of Adaptive Filter With Maximum Correntropy Criterion
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3192207
Abstract: The adaptive filtering algorithm based on the maximum correntropy criterion (MCC) is very effective in suppressing non-Gaussian noises and therefore attracts widespread attentions. At present, some works have been done for study the convergence and… read more here.
Keywords: correntropy criterion; performance; analysis; mcc algorithm ... See more keywords
An Efficient Parameter Optimization of Maximum Correntropy Criterion
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3273174
Abstract: The maximum correntropy criterion (MCC) algorithm depends upon two fundamental parameters, i.e., step-size and kernel width. Previous studies of parameter optimization in the MCC mainly focus on a single parameter (mainly the kernel width), lacking… read more here.
Keywords: correntropy criterion; step size; kernel width; parameter optimization ... See more keywords
Recursive Constrained Maximum Correntropy Criterion Algorithm for Adaptive Filtering
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2019.2944271
Abstract: Recently, the gradient based constrained maximum correntropy criterion (GCMCC) algorithm has received considerable attention since it provides superior performance to the traditional methods and is robust to the non-Gaussian noise. However, the convergence of GCMCC… read more here.
Keywords: maximum correntropy; correntropy criterion; constrained maximum; recursive constrained ... See more keywords
Kernel-based maximum correntropy criterion with gradient descent method
Sign Up to like & getrecommendations! Published in 2020 at "Communications on Pure and Applied Analysis"
DOI: 10.3934/cpaa.2020186
Abstract: In this paper, we study the convergence of the gradient descent method for the maximum correntropy criterion (MCC) associated with reproducing kernel Hilbert spaces (RKHSs). MCC is widely used in many real-world applications because of… read more here.
Keywords: gradient descent; maximum correntropy; descent method; descent ... See more keywords