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Published in 2018 at "Statistics and Computing"
DOI: 10.1007/s11222-017-9772-4
Abstract: Kernel smoothing of spatial point data can often be improved using an adaptive, spatially varying bandwidth instead of a fixed bandwidth. However, computation with a varying bandwidth is much more demanding, especially when edge correction…
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Keywords:
spatially adaptive;
adaptive kernel;
computation spatially;
computation ... See more keywords
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Published in 2020 at "Heliyon"
DOI: 10.1016/j.heliyon.2020.e04172
Abstract: Schizophrenia can be considered a brain disconnectivity condition related to aberrant neurodevelopment that causes alterations in the brain structure, including gyrification of the cortex. Literature findings on cortical folding are incoherent: they report hypogyria in…
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Keywords:
adaptive kernel;
schizophrenia;
shape adaptive;
analysis ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.06.014
Abstract: Abstract Freehand three-dimensional (3D) ultrasound imaging is an attractive research area because it is capable of providing large field of view and high in-plane resolution image to allow better illustration of complex anatomy structures. However,…
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Keywords:
reconstruction;
adaptive kernel;
kernel regression;
image ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2927661
Abstract: Laser welding is a rapidly developing technology that is of utmost importance in a number of industrial processes. The physics of the process has been investigated over the past 50 years and is mostly well…
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Keywords:
quality;
machine;
adaptive kernel;
quality monitoring ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3596048
Abstract: Dynamic systems often encounter disturbances like sensor outliers, which violate the Gaussian noise assumption in traditional Kalman filters (KFs). While maximum correntropy KFs (MCKFs) address this issue by utilizing higher order statistical information, their performance…
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Keywords:
kalman;
kernel scale;
maximum correntropy;
selection ... See more keywords
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Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3184534
Abstract: This letter incorporates the adaptive kernel Kalman filter (AKKF) into the belief propagation (BP) algorithm for Multi-target tracking (MTT) in single-sensor systems. The algorithm is capable of tracking an unknown and time-varying number of targets,…
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Keywords:
kernel kalman;
adaptive kernel;
target tracking;
multi target ... See more keywords
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Published in 2023 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2023.3250829
Abstract: Sequential Bayesian filters in non-linear dynamic systems require the recursive estimation of the predictive and posterior probability density function (pdf). This paper introduces a Bayesian filter called the adaptive kernel Kalman filter (AKKF). The AKKF…
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Keywords:
akkf;
kernel kalman;
adaptive kernel;
kalman filter ... See more keywords
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Published in 2018 at "Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering"
DOI: 10.1177/0954408916688501
Abstract: Optimization is considered to be the integral part of designing a wide range of engineering solutions. Manual optimization is a hectic job to obtain desired optimized results using hit and trial method. Monotonic adaptive kernel…
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Keywords:
adaptive kernel;
kernel algorithm;
application monotonic;
optimization ... See more keywords
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Published in 2020 at "EURASIP Journal on Advances in Signal Processing"
DOI: 10.1186/s13634-020-0665-x
Abstract: We present a novel approach to non-rigid object tracking in this paper by deriving an adaptive data-driven kernel. In contrast with conventional kernel-based trackers which suffer from the constancy of kernel shape as well as…
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Keywords:
adaptive kernel;
driven kernel;
data driven;
target ... See more keywords
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Published in 2021 at "PLoS ONE"
DOI: 10.1371/journal.pone.0259266
Abstract: Many machine learning procedures, including clustering analysis are often affected by missing values. This work aims to propose and evaluate a Kernel Fuzzy C-means clustering algorithm considering the kernelization of the metric with local adaptive…
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Keywords:
fuzzy clustering;
missing values;
adaptive kernel;
strategy ... See more keywords