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Error estimates for spectral convergence of the graph Laplacian on
  random geometric graphs towards the Laplace--Beltrami operator

Error estimates for spectral convergence of the graph Laplacian on random geometric graphs towards the Laplace--Beltrami operator

30 January 2018
Nicolas García Trillos
Moritz Gerlach
Matthias Hein
D. Slepčev
ArXivPDFHTML

Papers citing "Error estimates for spectral convergence of the graph Laplacian on random geometric graphs towards the Laplace--Beltrami operator"

6 / 106 papers shown
Title
Learning by Unsupervised Nonlinear Diffusion
Learning by Unsupervised Nonlinear Diffusion
Mauro Maggioni
James M. Murphy
DiffM
30
40
0
15 Oct 2018
Properly-weighted graph Laplacian for semi-supervised learning
Properly-weighted graph Laplacian for semi-supervised learning
Jeff Calder
D. Slepčev
SSL
22
57
0
10 Oct 2018
Certifying Global Optimality of Graph Cuts via Semidefinite Relaxation:
  A Performance Guarantee for Spectral Clustering
Certifying Global Optimality of Graph Cuts via Semidefinite Relaxation: A Performance Guarantee for Spectral Clustering
Shuyang Ling
Thomas Strohmer
19
19
0
29 Jun 2018
Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and
  Fast Algorithms
Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms
A. Little
Mauro Maggioni
James M. Murphy
25
48
0
17 Dec 2017
On the Consistency of Graph-based Bayesian Learning and the Scalability
  of Sampling Algorithms
On the Consistency of Graph-based Bayesian Learning and the Scalability of Sampling Algorithms
Nicolas García Trillos
Zachary T. Kaplan
Thabo Samakhoana
D. Sanz-Alonso
25
19
0
20 Oct 2017
Gromov-Hausdorff limit of Wasserstein spaces on point clouds
Gromov-Hausdorff limit of Wasserstein spaces on point clouds
Nicolás García Trillos
21
19
0
11 Feb 2017
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