Many real-world datasets live on high-dimensional Stiefel and Grassmanni...
Topological data analysis (TDA) is an emerging technique for biological
...
Persistence diagrams are common descriptors of the topological structure...
The circular coordinates algorithm of de Silva, Morozov, and
Vejdemo-Joh...
Datasets with non-trivial large scale topology can be hard to embed in
l...
The standard procedure for computing the persistent homology of a filter...
We introduce ε-approximate versions of the notion of Euclidean
vector bu...
A function is called quasiperiodic if its fundamental frequencies are
li...
Feature extraction from persistence diagrams, as a tool to enrich machin...
The classical Künneth formula in algebraic topology describes the
homolo...
We introduce here a framework to construct coordinates in finite Lens
sp...
The persistence diagram is an increasingly useful tool arising from the ...
Time series are ubiquitous in our data rich world. In what follows I wil...
We present in this paper an application of the theory of principal bundl...
In nonlinear time series analysis and dynamical systems theory, Takens'
...
Persistent homology is currently one of the more widely known tools from...
Chatter identification and detection in machining processes has been an
...