Recently, it was found that there is a remarkable intuitive similarity between studies in theoretical computer science dealing with large data sets on the one hand, and categorical methods of topology and geometry in pure mathematics, on the other. In this article, we treat the key notion of persistency from computer science in the algebraic geometric context involving Nori motivic constructions and related methods. We also discuss model structures for persistent topology
A point cloud can be endowed with a topological structure by constructing a simplicial complex using...
Topology together with algebra provides a large field, called Algebraic Topology, where we have num...
The topological data analysis studies the shape of a space at multiple scales. Its main tool is pers...
Recently, it was found that there is a remarkable intuitive similarity between studies in theoretica...
Topological data analysis (TDA) is a young field that has been rapidly growing over the last years ...
In this position paper, we present a brief overview of the ways topological tools, in particular per...
The human mind has a natural talent for finding patterns and shapes in nature where there are none, ...
In recent years, persistent homology techniques have been used to study data and dynamical systems. ...
Harnessing the power of data has been a driving force for computing in recently years. However, the ...
Persistent homology is a powerful notion rooted in topological data analysis which allows for retrie...
Motivated by the attempt to build on the top of reasonable data ( e.g. weighted networks) so-called ...
Persistence theory discussed in this paper is an application of algebraic topology (Morse Theory [29...
ABSTRACT. Persistent homology is an algebraic tool for measuring topological features of shapes and ...
<p>In this thesis we explore and extend the theory of persistent homology, which captures topologica...
The theory of homology generalizes the notion of connectivity in graphs to higher dimensions. It def...
A point cloud can be endowed with a topological structure by constructing a simplicial complex using...
Topology together with algebra provides a large field, called Algebraic Topology, where we have num...
The topological data analysis studies the shape of a space at multiple scales. Its main tool is pers...
Recently, it was found that there is a remarkable intuitive similarity between studies in theoretica...
Topological data analysis (TDA) is a young field that has been rapidly growing over the last years ...
In this position paper, we present a brief overview of the ways topological tools, in particular per...
The human mind has a natural talent for finding patterns and shapes in nature where there are none, ...
In recent years, persistent homology techniques have been used to study data and dynamical systems. ...
Harnessing the power of data has been a driving force for computing in recently years. However, the ...
Persistent homology is a powerful notion rooted in topological data analysis which allows for retrie...
Motivated by the attempt to build on the top of reasonable data ( e.g. weighted networks) so-called ...
Persistence theory discussed in this paper is an application of algebraic topology (Morse Theory [29...
ABSTRACT. Persistent homology is an algebraic tool for measuring topological features of shapes and ...
<p>In this thesis we explore and extend the theory of persistent homology, which captures topologica...
The theory of homology generalizes the notion of connectivity in graphs to higher dimensions. It def...
A point cloud can be endowed with a topological structure by constructing a simplicial complex using...
Topology together with algebra provides a large field, called Algebraic Topology, where we have num...
The topological data analysis studies the shape of a space at multiple scales. Its main tool is pers...