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Robust Inference of Manifold Density and Geometry by Doubly Stochastic
  Scaling

Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling

16 September 2022
Boris Landa
Xiuyuan Cheng
ArXivPDFHTML

Papers citing "Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling"

3 / 3 papers shown
Title
Eigen-convergence of Gaussian kernelized graph Laplacian by manifold
  heat interpolation
Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation
Xiuyuan Cheng
Nan Wu
49
29
0
25 Jan 2021
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
231
3,202
0
24 Nov 2016
Poisson noise reduction with non-local PCA
Poisson noise reduction with non-local PCA
Joseph Salmon
Zachary T. Harmany
Charles-Alban Deledalle
Rebecca Willett
43
313
0
02 Jun 2012
1