Pages that link to "Item:Q778025"
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The following pages link to Interpolating splines on graphs for data science applications (Q778025):
Displaying 10 items.
- Sobolev orthogonal polynomials on the Sierpinski gasket (Q829898) (← links)
- Graph signal sampling and interpolation based on clusters and averages (Q829899) (← links)
- Partition of unity methods for signal processing on graphs (Q2048685) (← links)
- Kernel-based models for influence maximization on graphs based on Gaussian process variance minimization (Q2112685) (← links)
- Graph signal interpolation with positive definite graph basis functions (Q2155810) (← links)
- A general multipurpose interpolation procedure: The magic points (Q2518242) (← links)
- Numerical integration on graphs: Where to sample and how to weigh (Q4960080) (← links)
- GBFPUM -- a MATLAB package for partition of unity based signal interpolation and approximation on graphs (Q6556636) (← links)
- Exploration of kernel parameters in signal GBF-PUM approximation on graphs (Q6592300) (← links)
- Locally supported, quasi-interpolatory bases for the approximation of functions on graphs (Q6635261) (← links)