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Optimal quantization of the mean measure and applications to statistical
  learning
v1v2v3v4 (latest)

Optimal quantization of the mean measure and applications to statistical learning

4 February 2020
Frédéric Chazal
Clément Levrard
Martin Royer
ArXiv (abs)PDFHTML

Papers citing "Optimal quantization of the mean measure and applications to statistical learning"

3 / 3 papers shown
Approximating Persistent Homology for Large Datasets
Approximating Persistent Homology for Large Datasets
Yueqi Cao
Anthea Monod
269
14
0
19 Apr 2022
Estimation and Quantization of Expected Persistence Diagrams
Estimation and Quantization of Expected Persistence DiagramsInternational Conference on Machine Learning (ICML), 2021
Vincent Divol
Théo Lacombe
232
12
0
11 May 2021
An introduction to Topological Data Analysis: fundamental and practical
  aspects for data scientists
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
Frédéric Chazal
Bertrand Michel
486
760
0
11 Oct 2017
1
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