ASAP – A sub-sampling approach for preserving topological structures modeled with geodesic topographic mapping-Reference-Cited by-同舟云学术

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ASAP – A sub-sampling approach for preserving topological structures modeled with geodesic topographic mapping

Published:2022-01 Issue: Volume:470 Page:376-388
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Taghribi Abolfazl,Canducci Marco,Mastropietro Michele,De Rijcke Sven,Bunte Kerstin,Tiňo Peter

Funder

Horizon 2020 Marie Skłodowska-Curie Actions

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference37 articles.

1. T.K. Dey, T. Hou, and S. Mandal. Persistent 1-Cycles: Definition, Computation, and Its Application. In Rebeca Marfil, Mariletty Calderón, Fernando Díaz del Río, Pedro Real, and Antonio Bandera, editors, Computational Topology in Image Context, Lecture Notes in Computer Science, pages 123–136, Cham, 2019. Springer International Publishing.

2. Tracking resilience to infections by mapping disease space;Torres;PLOS Biology,2016

3. Finding cosmic voids and filament loops using topological data analysis;Xu;Astronomy and Computing,2019

4. Linear-size approximations to the vietoris-rips filtration;Sheehy;Discrete & Computational Geometry,2013

5. T.K. Dey, F. Fan, Y. Wang, Computing topological persistence for simplicial maps, in: Symposium on Computational Geometry (SoCG), March 2014.

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