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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 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