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09/01/2023
Polynomial Interpolation of Function Averages on Interval Segments
Motivated by polynomial approximations of differential forms, we study a...
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02/16/2023
Highly Localized RBF Lagrange Functions for Finite Difference Methods on Spheres
The aim of this paper is to show how rapidly decaying RBF Lagrange funct...
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01/16/2023
Krylov subspace methods to accelerate kernel machines on graphs
In classical frameworks as the Euclidean space, positive definite kernel...
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12/15/2022
Interpolation with the polynomial kernels
The polynomial kernels are widely used in machine learning and they are ...
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10/17/2021
Graph Wedgelets: Adaptive Data Compression on Graphs based on Binary Wedge Partitioning Trees and Geometric Wavelets
We introduce graph wedgelets - a tool for data compression on graphs bas...
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09/27/2021
On Kosloff Tal-Ezer least-squares quadrature formulas
In this work, we study a global quadrature scheme for analytic functions...
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06/10/2021
Simple Graph Convolutional Networks
Many neural networks for graphs are based on the graph convolution opera...
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03/02/2021
Kernel-Based Models for Influence Maximization on Graphs based on Gaussian Process Variance Minimization
The inference of novel knowledge, the discovery of hidden patterns, and ...
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12/19/2020
Partition of Unity Methods for Signal Processing on Graphs
Partition of unity methods (PUMs) on graphs are simple and highly adapti...
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04/28/2020
A new 3D model for magnetic particle imaging using realistic magnetic field topologies for algebraic reconstruction
We derive a new 3D model for magnetic particle imaging (MPI) that is abl...
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03/17/2020
Semi-Supervised Learning on Graphs with Feature-Augmented Graph Basis Functions
For semi-supervised learning on graphs, we study how initial kernels in ...
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12/04/2019
Graph signal interpolation with Positive Definite Graph Basis Functions
For the interpolation of graph signals with generalized shifts of a grap...
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09/19/2019