Results 101 to 110 of about 1,526 (199)
Robust Hyperspectral Unmixing With Correntropy-Based Metric
IEEE Transactions on Image Processing, 2015 Hyperspectral unmixing is one of the crucial steps for many hyperspectral applications. The problem of hyperspectral unmixing has proven to be a difficult task in unsupervised work settings where the endmembers and abundances are both unknown. What is more, this task becomes more challenging in the case that the spectral bands are degraded with noise ...
Ying Wang 0008 +3 more
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Sensors, 2018 This paper considers the parameter estimation problem under non-stationary environments in sensor networks. The unknown parameter vector is considered to be a time-varying sequence.
Limei Hu +3 more
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A new compensation method for sensor-drift effect based on the cross-correntropy concept
, 2011 Cross-correntropy which has the characteristics of correlation and entropy can be a generalized similarity measure of two probability density functions (PDFs).
Byun, Hyung Gi +5 more
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Fractional time delay estimation method based on the minimum CIM and the Farrow structure
Tongxin xuebao, 2015 A fractional time delay estimation algorithm is proposed which is based on the minimum CIM and the Farrow structure (referred to as MCIMFarrow).The proposed MCIMFarrow algorithm performs well in symmetric Alpha stable noise conditions.And it needs little
ULing Y, IUTian-shuang Q
doaj
Correntropy coefficients between ΔCVF and BVF (IJVs and VVs) data.
, 2013 The interaction between ΔCVF and BVF (IJVs and VVs) for MS group and CTR group behaved almost in the same way at the VVs flow recording, as revealed by the magnitudes of the correntropy coefficients (first and second rows of the table).The variable ΔCVF ...
Carlo Venturi (343560) +11 more
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Variable step-size LMP algorithm based on correntropy induced metric
For the problem of underwater sparse channel estimation under α-stable distributed impulsive noise, correntropy induced metric variable step-size least mean p-power (CVSS-LMP) algorithm was proposed.
TANG Qi, YANG Xinliu
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Multiplicative Algorithm for Correntropy-Based Nonnegative Matrix Factorization
, 2013 Nonnegative matrix factorization (NMF) is a popular dimension reduction technique used for clustering by extracting latent features from highdimensional data and is widely used for text mining.
Hosseini-Asl, E., Zurada, J. M.
core
Correntropy coefficient analysis of fMRI using reference model
, 2012 A non-invasive functional MRI (fMRI) has emerged effective in the investigation of the functionality of human brain. However, detection of functional activation is often complicated by the presence of noise. In this paper, we propose an approach based on
Muhammad Yakoob Siyal +3 more
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AcousticsActive noise control (ANC) in real-world acoustic environments frequently faces impulsive and heavy-tailed noise disturbances, which degrade the performance significantly and lead to slow convergence.
Pushpraj Tanwar +2 more
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Regularized Maximum Correntropy Criterion Kalman Filter for Uncalibrated Visual Servoing in the Presence of Non-Gaussian Feature Tracking Noise. [PDF]
Sensors (Basel), 2023 Leite GR, Araújo ÍBQ, Martins AM.
europepmc +1 more source