Persistent homology enables fast and computable comparison of topological objects. We give some instances of a recent extension of the theory of persistence, guaranteeing robustness and computability for relevant data types, like simple graphs and digraphs. We focus on categorical persistence functions that allow us to study in full generality strong kinds of connectedness—clique communities, k-vertex, and k-edge connectedness—directly on simple graphs and strong connectedness in digraphs
Persistent Homology is a powerful tool in Topological Data Analysis (TDA) to capture topological pr...
This talk served as an introduction to the subject of persistent homology. Throughout, the talk seve...
Abstract Persistent homology (PH) is a method used in topological data analysis (TDA) to study quali...
Persistent homology enables fast and computable comparison of topological objects. We give some ins...
Graphs are a basic tool in modern data representation. The richness of the topological information c...
Harnessing the power of data has been a driving force for computing in recently years. However, the ...
Persistent homology is a branch of computational topology which uses geometry and topology for shape...
<p>In this thesis we explore and extend the theory of persistent homology, which captures topologica...
We characterize critical points of 1-dimensional maps paired in persistent homology geometrically an...
Persistent homology is an emerging tool to identify robust topological features underlying the stru...
Copyright c © 2008 by Dmitriy Morozov In this thesis we explore and extend the theory of persistent ...
The theory of homology generalizes the notion of connectivity in graphs to higher dimensions. It def...
Persistent homology is a powerful tool in Topological Data Analysis (TDA) to capture the topological...
Long-lived topological features are distinguished from short-lived ones (considered as topological n...
In this position paper, we present a brief overview of the ways topological tools, in particular per...
Persistent Homology is a powerful tool in Topological Data Analysis (TDA) to capture topological pr...
This talk served as an introduction to the subject of persistent homology. Throughout, the talk seve...
Abstract Persistent homology (PH) is a method used in topological data analysis (TDA) to study quali...
Persistent homology enables fast and computable comparison of topological objects. We give some ins...
Graphs are a basic tool in modern data representation. The richness of the topological information c...
Harnessing the power of data has been a driving force for computing in recently years. However, the ...
Persistent homology is a branch of computational topology which uses geometry and topology for shape...
<p>In this thesis we explore and extend the theory of persistent homology, which captures topologica...
We characterize critical points of 1-dimensional maps paired in persistent homology geometrically an...
Persistent homology is an emerging tool to identify robust topological features underlying the stru...
Copyright c © 2008 by Dmitriy Morozov In this thesis we explore and extend the theory of persistent ...
The theory of homology generalizes the notion of connectivity in graphs to higher dimensions. It def...
Persistent homology is a powerful tool in Topological Data Analysis (TDA) to capture the topological...
Long-lived topological features are distinguished from short-lived ones (considered as topological n...
In this position paper, we present a brief overview of the ways topological tools, in particular per...
Persistent Homology is a powerful tool in Topological Data Analysis (TDA) to capture topological pr...
This talk served as an introduction to the subject of persistent homology. Throughout, the talk seve...
Abstract Persistent homology (PH) is a method used in topological data analysis (TDA) to study quali...