Reconstructing embedded graphs from persistence diagrams-Reference-Cited by-同舟云学术

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Reconstructing embedded graphs from persistence diagrams

Published:2020-10 Issue: Volume:90 Page:101658
ISSN:0925-7721
Container-title:Computational Geometry
language:en
Short-container-title:Computational Geometry

Author:

Belton Robin Lynne,Fasy Brittany Terese,Mertz Rostik,Micka Samuel,Millman David L.,Salinas Daniel,Schenfisch Anna,Schupbach Jordan,Williams Lucia

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Computational Mathematics,Computational Theory and Mathematics,Control and Optimization,Geometry and Topology,Computer Science Applications

Reference31 articles.

1. Map construction algorithms;Ahmed,2015

2. Constructing street networks from GPS trajectories;Ahmed,2012

3. Learning simplicial complexes from persistence diagrams;Belton,2018

4. Spatial tessellations;Boots,1999

5. Some heuristics for the homological simplification problem;Chambers,2018

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1. Combinatorial persistent homology transform;Foundations of Data Science;2024

2. Importance attribution in neural networks by means of persistence landscapes of time series;Neural Computing and Applications;2023-07-19

3. The fiber of persistent homology for simplicial complexes;Journal of Pure and Applied Algebra;2022-12

4. Distance distributions and inverse problems for metric measure spaces;Studies in Applied Mathematics;2022-08-10

5. Measuring hidden phenotype: quantifying the shape of barley seeds using the Euler characteristic transform;in silico Plants;2021-12-08

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