Comparison of the Convergence Rates of the New Correntropy-Based Levenberg–Marquardt (CLM) Method and the Fixed-Point Maximum Correntropy (FP-MCC) Algorithm
Sign Up to like & getrecommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-017-0694-3
Abstract: Correntropy as an efficient information theoretic (ITL) criterion has been extensively applied in many non-Gaussian applications. In order to maximize correntropy, several optimization algorithms have been proposed. Fixed-point maximum correntropy (FP-MCC) and correntropy-based Levenberg–Marquardt (CLM)… read more here.
Keywords: point maximum; maximum correntropy; correntropy; convergence ... See more keywords
Cyclic Correntropy: Foundations and Theories
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2847346
Abstract: Over the past several decades, cyclostationarity has been regarded as one of the most significant theories in the research of non-stationary signal processing; therefore, it has been widely used to solve a large variety of… read more here.
Keywords: cyclostationarity; methodology; space; cyclic correntropy ... See more keywords
Maximum Total Improper Complex Correntropy Algorithm for Widely Linear Adaptive Filtering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3221441
Abstract: The maximum total complex correntropy (MTCC) algorithm improves the performance of adaptive filtering under the error in variable (EIV) model by integrating both input and output noise information into the total complex correntropy. However, the… read more here.
Keywords: algorithm; complex correntropy; widely linear; maximum total ... See more keywords
LDCMFC: Predicting Long Non-coding RNA and Disease Association Using Collaborative Matrix Factorization based on Correntropy.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3215194
Abstract: With the development of bioinformatics, the important role played by lncRNAs in various intractable diseases has aroused the interest of many experts. In recent studies, researchers have found that several human diseases are related to… read more here.
Keywords: matrix; based correntropy; matrix factorization; factorization based ... See more keywords
A Novel Combinatoric Correntropy Algorithm: Properties and its Performance Analysis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3200417
Abstract: In order to improve the flexibility of the correntropy that is usually in the form of a single kernel, this brief proposes a novel combinatoric maximum correntropy criterion (C-MCC), where the combinatoric correntropy (C-C) consists… read more here.
Keywords: novel combinatoric; combinatoric correntropy; performance analysis; correntropy ... See more keywords
The Kernel Recursive Maximum Total Correntropy Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3202800
Abstract: Focusing on the performance deterioration of nonlinear filtering algorithms in the error-in-variable (EIV) model, a nonlinear version of maximum total correntropy (MTC) algorithm called kernel recursive maximum total correntropy (KRMTC) is proposed in this brief,… read more here.
Keywords: recursive maximum; kernel recursive; algorithm; maximum total ... See more keywords
Compact Maximum Correntropy-Based Error State Kalman Filter for Exoskeleton Orientation Estimation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2022.3193760
Abstract: This brief investigates the maximum correntropy-based Kalman filtering problem for exoskeleton orientation by fusing signals from accelerometers and gyroscopes. The conventional error state Kalman filter (ESKF) has been applied to many applications for orientation estimation.… read more here.
Keywords: orientation estimation; kalman filter; correntropy based; correntropy ... See more keywords
Robust Power System Forecasting-Aided State Estimation With Generalized Maximum Mixture Correntropy Unscented Kalman Filter
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3160562
Abstract: As an effective method for power system forecasting-aided state estimation (FASE), the unscented Kalman filter (UKF) based on correntropy has been widely used in recent years, ensuring the safe and reliable operation of power systems.… read more here.
Keywords: power system; state estimation; correntropy; state ... See more keywords
GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2016.2643286
Abstract: GoDec is an efficient low-rank matrix decomposition algorithm. However, optimal performance depends on sparse errors and Gaussian noise. This paper aims to address the problem that a matrix is composed of a low-rank component and… read more here.
Keywords: rank; rank matrix; low rank; decomposition ... See more keywords
Linear and Nonlinear Regression-Based Maximum Correntropy Extended Kalman Filtering
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2019.2917712
Abstract: The extended Kalman filter (EKF) is a method extensively applied in many areas, particularly, in nonlinear target tracking. The optimization criterion commonly used in EKF is the celebrated minimum mean square error (MMSE) criterion, which… read more here.
Keywords: maximum correntropy; extended kalman; nonlinear regression; correntropy ... See more keywords
Robust large-scale clustering based on correntropy
Sign Up to like & getrecommendations! Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0277012
Abstract: With the explosive growth of data, how to efficiently cluster large-scale unlabeled data has become an important issue that needs to be solved urgently. Especially in the face of large-scale real-world data, which contains a… read more here.
Keywords: robust large; scale; large scale; scale clustering ... See more keywords