Tessellation-based Kernel Density Estimation-Reference-Cited by-同舟云学术

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Tessellation-based Kernel Density Estimation

Published:2021-12-22 Issue: Volume: Page:
ISSN:
Container-title:2021 4th International Conference on Algorithms, Computing and Artificial Intelligence
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Author:

Belov Vladislav¹,Marik Radek²

Affiliation:

1. Department of Mathematics, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Czech Republic

2. Department of Telecommunication Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic

Funder

The Grant Agency of the Czech Technical University in Prague

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3508546.3508582

Reference34 articles.

1. Uniqueness of the Gaussian Kernel for Scale-Space Filtering;Babaud J.;IEEE Trans. Pattern Anal. Mach. Intell.,1986

2. The quickhull algorithm for convex hulls

3. V. Belov . 2020. Nonlinear Dimensionality Reduction. Master’s Thesis , Czech Technical University in Prague ( Feb. 2020 ). V. Belov. 2020. Nonlinear Dimensionality Reduction. Master’s Thesis, Czech Technical University in Prague (Feb. 2020).

4. An alternative method of cross-validation for the smoothing of density estimates

5. Variable Kernel Estimates of Multivariate Densities

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