International audienceThe matching distance is a pseudometric on multi-parameter persistence modules, defined in terms of the weighted bottleneck distance on the restriction of the modules to affine lines. It is known that this distance is stable in a reasonable sense, and can be efficiently approximated, which makes it a promising tool for practical applications. In this work, we show that in the 2-parameter setting, the matching distance can be computed exactly in polynomial time. Our approach subdivides the space of affine lines into regions, via a line arrangement. In each region, the matching distance restricts to a simple analytic function, whose maximum is easily computed. As a byproduct, our analysis establishes that the matching di...
Recent years have witnessed a tremendous growth using topological summaries, especially the persiste...
Exploiting geometric structure to improve the asymptotic complexity of discrete assignment problems ...
This paper deals with the concepts of persistence diagram and matching distance. These are two of th...
The matching distance is a pseudometric on multi-parameter persistence modules, defined in terms of ...
In topological data analysis, the matching distance is a computationally tractable metric on multi-f...
Computation of the interleaving distance between persistence modules is a central task in topologica...
none2noTopological Persistence has proven to be a promising framework for dealing with problems conc...
none3siComparison between multidimensional persistent Betti numbers is often based on the multidimen...
Topological Data Analysis is a growing area of data science, which aims at computing and characteriz...
Computation of the interleaving distance between persistence modules is a central task in topologic...
We show that computing the interleaving distance between two multi-graded persistence modules is NP-...
The interleaving distance is arguably the most prominent distance measure in topological data analys...
In this paper, we propose a brief overview about multidimensional persistent Betti numbers (PBNs) an...
We prove that persistence diagrams with the p-Wasserstein distance form the universal p-subadditive ...
open3siIn this paper we study a new metric for comparing Betti numbers functions in bidimensional pe...
Recent years have witnessed a tremendous growth using topological summaries, especially the persiste...
Exploiting geometric structure to improve the asymptotic complexity of discrete assignment problems ...
This paper deals with the concepts of persistence diagram and matching distance. These are two of th...
The matching distance is a pseudometric on multi-parameter persistence modules, defined in terms of ...
In topological data analysis, the matching distance is a computationally tractable metric on multi-f...
Computation of the interleaving distance between persistence modules is a central task in topologica...
none2noTopological Persistence has proven to be a promising framework for dealing with problems conc...
none3siComparison between multidimensional persistent Betti numbers is often based on the multidimen...
Topological Data Analysis is a growing area of data science, which aims at computing and characteriz...
Computation of the interleaving distance between persistence modules is a central task in topologic...
We show that computing the interleaving distance between two multi-graded persistence modules is NP-...
The interleaving distance is arguably the most prominent distance measure in topological data analys...
In this paper, we propose a brief overview about multidimensional persistent Betti numbers (PBNs) an...
We prove that persistence diagrams with the p-Wasserstein distance form the universal p-subadditive ...
open3siIn this paper we study a new metric for comparing Betti numbers functions in bidimensional pe...
Recent years have witnessed a tremendous growth using topological summaries, especially the persiste...
Exploiting geometric structure to improve the asymptotic complexity of discrete assignment problems ...
This paper deals with the concepts of persistence diagram and matching distance. These are two of th...