Weighted Spectral Filters for Kernel Interpolation on Spheres: Estimates of Prediction Accuracy for Noisy Data-Reference-Cited by-同舟云学术

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Weighted Spectral Filters for Kernel Interpolation on Spheres: Estimates of Prediction Accuracy for Noisy Data

Published:2024-05-20 Issue:2 Volume:17 Page:951-983
ISSN:1936-4954
Container-title:SIAM Journal on Imaging Sciences
language:en
Short-container-title:SIAM J. Imaging Sci.

Author:

Liu Xiaotong¹^ORCID,Wang Jinxin¹,Wang Di¹^ORCID,Lin Shao-Bo²^ORCID

Affiliation:

1. Center for Intelligent Decision-Making and Machine Learning, School of Management, Xi’an Jiaotong University, Xi’an 710049, China.

2. Corresponding author. Center for Intelligent Decision-Making and Machine Learning, School of Management, Xi’an Jiaotong University, Xi’an 710049, China.

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Reference54 articles.

1. International Geomagnetic Reference Field: the thirteenth generation

2. Regularized Least Squares Approximations on the Sphere Using Spherical Designs

3. Lasso Hyperinterpolation Over General Regions

4. Grad. Texts in Math. 169;Bhatia R.,2013

5. Approximation of smooth functions on compact two-point homogeneous spaces

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