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Geodesic PCA in the Wasserstein space
v1v2v3 (latest)

Geodesic PCA in the Wasserstein space

29 July 2013
Jérémie Bigot
R. Gouet
T. Klein
A. López
ArXiv (abs)PDFHTML

Papers citing "Geodesic PCA in the Wasserstein space"

7 / 7 papers shown
Tangential Wasserstein Projections
Tangential Wasserstein ProjectionsJournal of machine learning research (JMLR), 2022
F. Gunsilius
Meng Hsuan Hsieh
Myung Jin Lee
386
3
0
29 Jul 2022
Permutation invariant networks to learn Wasserstein metrics
Permutation invariant networks to learn Wasserstein metrics
Arijit Sehanobish
N. Ravindra
David van Dijk
OOD
232
2
0
12 Oct 2020
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised
  non-linear dictionary learning
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning
M. Schmitz
Matthieu Heitz
Nicolas Bonneel
Fred-Maurice Ngole-Mboula
D. Coeurjolly
Marco Cuturi
Gabriel Peyré
Jean-Luc Starck
OT
327
142
0
07 Aug 2017
Fréchet Means and Procrustes Analysis in Wasserstein Space
Fréchet Means and Procrustes Analysis in Wasserstein Space
Y. Zemel
V. Panaretos
255
125
0
24 Jan 2017
Regularized Optimal Transport and the Rot Mover's Distance
Regularized Optimal Transport and the Rot Mover's Distance
Arnaud Dessein
Nicolas Papadakis
Jean-Luc Rouas
OT
433
92
0
20 Oct 2016
Amplitude and phase variation of point processes
Amplitude and phase variation of point processes
V. Panaretos
Y. Zemel
217
109
0
29 Mar 2016
Principal Geodesic Analysis for Probability Measures under the Optimal
  Transport Metric
Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric
Vivien Seguy
Marco Cuturi
OT
240
76
0
26 Jun 2015
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