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20182026
most citedKünneth Formulae in Persistent Homology

3 citations · 4 across the 6 of their papers we have counts for

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math.AT2026

Estimation of Persistence Diagrams via the Three Gap Theorem

Luis Suarez Salas, Jose A. Perea

The time delay (or Sliding Window) embedding is a technique from dynamical systems to reconstruct attractors from time series data. Recently, descriptors from Topological Data Anal…

math.AT2025

Discrete Approximate Circle Bundles

Brad Turow, Jose A. Perea

In this paper, we introduce discrete approximate circle bundles, a class of objects designed to serve as the data science analog of circle bundles from algebraic topology. We show…

math.AT20193 cited

Künneth Formulae in Persistent Homology

Hitesh Gakhar, Jose A. Perea

The classical Künneth formula in algebraic topology describes the homology of a product space in terms of that of its factors. In this paper, we prove Künneth-type theorems for the…

math.AT20191 cited

Coordinatizing Data With Lens Spaces and Persistent Cohomology

Luis Polanco, Jose A. Perea

We introduce here a framework to construct coordinates in \emph{finite} Lens spaces for data with nontrivial 1-dimensional persistent cohomology, . Said coo…

math.AT2018

Topological Time Series Analysis

Jose A. Perea

Time series are ubiquitous in our data rich world. In what follows I will describe how ideas from dynamical systems and topological data analysis can be combined to gain insights f…

math.AT2018

A Brief History of Persistence

Jose A. Perea

Persistent homology is currently one of the more widely known tools from computational topology and topological data analysis. We present in this note a brief survey on the evoluti…