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

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

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

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

Gaussian-Kernel-Based Maximum Correntropy Kalman Filter With Adaptive Kernel Scale Selection

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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… read more here.

Keywords: kalman; kernel scale; maximum correntropy; selection ... See more keywords

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

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

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

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

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