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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…
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Keywords:
kalman filtering;
event;
based kalman;
time varying ... See more keywords
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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…
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Keywords:
learning;
generalized correntropy;
deep learning;
correntropy based ... See more keywords
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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…
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Keywords:
spectral clustering;
correntropy based;
sparse spectral;
band ... See more keywords
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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…
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Keywords:
total variation;
like nmf;
autoencoder like;
autoencoder ... See more keywords
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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.…
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Keywords:
orientation estimation;
kalman filter;
correntropy based;
correntropy ... See more keywords
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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…
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Keywords:
noise environments;
doa estimation;
impulsive noise;
correntropy based ... See more keywords