Geometric and probabilistic limit theorems in topological data analysis-Reference-Cited by-同舟云学术

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Geometric and probabilistic limit theorems in topological data analysis

Published:2021-10 Issue: Volume:131 Page:102244
ISSN:0196-8858
Container-title:Advances in Applied Mathematics
language:en
Short-container-title:Advances in Applied Mathematics

Author:

Kališnik Sara,Lehn Christian,Limic Vlada

Funder

Alexander von Humboldt-Stiftung

Deutsche Forschungsgemeinschaft

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference53 articles.

1. Evasion paths in mobile sensor networks;Adams;Int. J. Robot. Res.,2015

2. The ring of algebraic functions on persistence bar codes;Adcock;Homol. Homotopy Appl.,2016

3. Classification of hepatic lesions using the matching metric;Adcock;Comput. Vis. Image Underst.,2014

4. Crackle: the homology of noise;Adler;Discrete Comput. Geom.,2014

5. Topology of random geometric complexes: a survey;Bobrowski;J. Appl. Comput. Topol.,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Dimensionality Reduction and Reconstruction Method for Data with Multiple Connected Components;2022 IEEE 5th International Conference on Big Data and Artificial Intelligence (BDAI);2022-07-08

2. Persistent Homology;Algebraic Foundations for Applied Topology and Data Analysis;2022

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