LAUSR

Maximum‐correntropy‐based Kalman filtering for time‐varying systems with randomly occurring uncertainties: An event‐triggered approach

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0 Published in 2020 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.5368

Abstract: In this article, the maximum‐correntropy‐based Kalman filtering problem is investigated for a class of linear time‐varying systems in the presence of non‐Gaussian noises and randomly occurring uncertainties (ROUs). The random nature of the parameter uncertainties… read more here.

Keywords: kalman filtering; event; based kalman; time varying ... See more keywords

Generalized Correntropy based deep learning in presence of non-Gaussian noises

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0 Published in 2018 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.06.080

Abstract: Abstract Deep learning algorithms are the hottest topics in machine learning area lately. Although deep learning has made great progress in many domains, the robustness of learning systems with deep architectures is still rarely studied… read more here.

Keywords: learning; generalized correntropy; deep learning; correntropy based ... See more keywords

Correntropy-Based Sparse Spectral Clustering for Hyperspectral Band Selection

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0 Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2019.2924934

Abstract: This letter presents a correntropy-based sparse spectral clustering (CSSC) method to select proper bands of a hyperspectral image. The CSSC first constructs an affinity matrix with the correntropy measure which considers the nonlinear characteristics of… read more here.

Keywords: spectral clustering; correntropy based; sparse spectral; band ... See more keywords

Correntropy-Based Autoencoder-Like NMF With Total Variation for Hyperspectral Unmixing

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1 Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2020.3020896

Abstract: In order to unmix the hyperspectral imagery (HSI) with better performance, this letter proposes a correntropy-based autoencoder-like nonnegative matrix factorization (NMF) (CANMF) with total variation (CANMF-TV) method. NMF is extensively applied to unmix the mixed… read more here.

Keywords: total variation; like nmf; autoencoder like; autoencoder ... See more keywords

Compact Maximum Correntropy-Based Error State Kalman Filter for Exoskeleton Orientation Estimation

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2 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

Correntropy-based DOA estimation algorithm under impulsive noise environments

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0 Published in 2020 at "EURASIP Journal on Wireless Communications and Networking"

DOI: 10.1186/s13638-020-01766-6

Abstract: In this paper, the direction of arrival (DOA) estimation of signals in the presence of impulsive noise environment is studied. Complex isotropic symmetric alpha-stable ( SαS ) random variables are modeled as impulsive noise, then… read more here.

Keywords: noise environments; doa estimation; impulsive noise; correntropy based ... See more keywords