Articles with "adaptive kernel" as a keyword



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Fast computation of spatially adaptive kernel estimates

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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… read more here.

Keywords: spatially adaptive; adaptive kernel; computation spatially; computation ... See more keywords
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Analysis of local gyrification index using a novel shape-adaptive kernel and the standard FreeSurfer spherical kernel – evidence from chronic schizophrenia outpatients☆

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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… read more here.

Keywords: adaptive kernel; schizophrenia; shape adaptive; analysis ... See more keywords
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An adaptive kernel regression method for 3D ultrasound reconstruction using speckle prior and parallel GPU implementation

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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,… read more here.

Keywords: reconstruction; adaptive kernel; kernel regression; image ... See more keywords
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Laser Welding Quality Monitoring via Graph Support Vector Machine With Data Adaptive Kernel

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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… read more here.

Keywords: quality; machine; adaptive kernel; quality monitoring ... See more keywords
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Adaptive Kernel Kalman Filter Based Belief Propagation Algorithm for Maneuvering Multi-Target Tracking

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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,… read more here.

Keywords: kernel kalman; adaptive kernel; target tracking; multi target ... See more keywords
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Adaptive Kernel Kalman Filter

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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… read more here.

Keywords: akkf; kernel kalman; adaptive kernel; kalman filter ... See more keywords
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Application of monotonic adaptive kernel for optimization: A case study

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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… read more here.

Keywords: adaptive kernel; kernel algorithm; application monotonic; optimization ... See more keywords
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Object contour tracking via adaptive data-driven kernel

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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… read more here.

Keywords: adaptive kernel; driven kernel; data driven; target ... See more keywords
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Adaptive kernel fuzzy clustering for missing data

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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… read more here.

Keywords: fuzzy clustering; missing values; adaptive kernel; strategy ... See more keywords