Pages that link to "Item:Q1979925"
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The following pages link to Spectral convergence of graph Laplacian and heat kernel reconstruction in \(L^\infty\) from random samples (Q1979925):
Displaying 15 items.
- Wave-shape oscillatory model for nonstationary periodic time series analysis (Q2072625) (← links)
- Data-driven efficient solvers for Langevin dynamics on manifold in high dimensions (Q2105115) (← links)
- Improved spectral convergence rates for graph Laplacians on \(\varepsilon \)-graphs and \(k\)-NN graphs (Q2155800) (← links)
- Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression (Q2157494) (← links)
- Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation (Q2168682) (← links)
- (Q5053174) (← links)
- (Q5053269) (← links)
- Clustering Dynamics on Graphs: From Spectral Clustering to Mean Shift Through Fokker–Planck Interpolation (Q5054577) (← links)
- Geometric scattering on measure spaces (Q6122637) (← links)
- Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling (Q6136229) (← links)
- Learning low-dimensional nonlinear structures from high-dimensional noisy data: an integral operator approach (Q6183757) (← links)
- Spatiotemporal analysis using Riemannian composition of diffusion operators (Q6185681) (← links)
- Solving PDEs on unknown manifolds with machine learning (Q6499004) (← links)
- Kernel two-sample tests for manifold data (Q6589563) (← links)
- Non-parametric manifold learning (Q6635576) (← links)
