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Lattice-based kernel approximation and serendipitous weights for parametric PDEs in very high dimensions.
Vesa Kaarnioja
Frances Y. Kuo
Ian H. Sloan
Published in:
CoRR (2023)
Keyphrases
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data warehouse
high dimensions
high dimensional data
high dimensional
data analysis
kernel function
databases
partial differential equations
high dimensional spaces
support vector
linear combination
poor quality
feature space
level set
data quality
computer vision
numerical scheme
image segmentation
machine learning