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Study of Manifold Geometry using Multiscale Non-Negative Kernel Graphs
v1v2 (latest)

Study of Manifold Geometry using Multiscale Non-Negative Kernel Graphs

31 October 2022
Carlos Hurtado
Sarath Shekkizhar
Javier Ruiz-Hidalgo
Antonio Ortega
ArXiv (abs)PDFHTML

Papers citing "Study of Manifold Geometry using Multiscale Non-Negative Kernel Graphs"

5 / 5 papers shown
Title
Channel redundancy and overlap in convolutional neural networks with
  channel-wise NNK graphs
Channel redundancy and overlap in convolutional neural networks with channel-wise NNK graphs
David Bonet
Antonio Ortega
Javier Ruiz-Hidalgo
Sarath Shekkizhar
GNN
62
7
0
18 Oct 2021
Laplacian Networks: Bounding Indicator Function Smoothness for Neural
  Network Robustness
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness
Carlos Lassance
Vincent Gripon
Antonio Ortega
AAML
68
16
0
24 May 2018
Estimating the intrinsic dimension of datasets by a minimal neighborhood
  information
Estimating the intrinsic dimension of datasets by a minimal neighborhood information
Elena Facco
M. d’Errico
Alex Rodriguez
Alessandro Laio
54
327
0
19 Mar 2018
DANCo: Dimensionality from Angle and Norm Concentration
DANCo: Dimensionality from Angle and Norm Concentration
C. Ceruti
S. Bassis
A. Rozza
G. Lombardi
E. Casiraghi
P. Campadelli
77
18
0
18 Jun 2012
Non-Asymptotic Analysis of Tangent Space Perturbation
Non-Asymptotic Analysis of Tangent Space Perturbation
Daniel N. Kaslovsky
François G. Meyer
80
22
0
20 Nov 2011
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