activity
20192025
most citedThe Persistent Homology of Dual Digital Image Constructions

18 citations · 40 across the 9 of their papers we have counts for

collaborators

10 papers

math.PR2025

Normal approximation of stabilizing Poisson pair functionals with column-type dependence

Hanna Döring, Adélie Garin, Christian Hirsch +1

In this paper, we study two specific types of -dimensional Poisson functionals: a double-sum type and a sum-log-sum type, both over pairs of Poisson points. On these functionals…

math.AT2022

A Lattice-Theoretic Perspective on the Persistence Map

Brendan Mallery, Adélie Garin, Justin Curry

We provide a naturally isomorphic description of the persistence map from merge trees to barcodes in terms of a monotone map from the partition lattice to the subset lattice. Our d…

math.GT2021★ 3 cited

Stratifying the space of barcodes using Coxeter complexes

Benjamin Brück, Adélie Garin

We use tools from geometric group theory to produce a stratification of the space of barcodes with bars. The top-dimensional strata are indexed by permutations…

cs.CG2021★ 4 cited

The Impact of Changes in Resolution on the Persistent Homology of Images

Teresa Heiss, Sarah Tymochko, Brittany Story +4

Digital images enable quantitative analysis of material properties at micro and macro length scales, but choosing an appropriate resolution when acquiring the image is challenging.…

cs.CV2021★ 1 cited

Persistent Homology with Improved Locality Information for more Effective Delineation

Doruk Oner, Adélie Garin, Mateusz Koziński +2

Persistent Homology (PH) has been successfully used to train networks to detect curvilinear structures and to improve the topological quality of their results. However, existing me…

math.AT2021★ 1 cited

From Trees to Barcodes and Back Again II: Combinatorial and Probabilistic Aspects of a Topological Inverse Problem

Justin Curry, Jordan DeSha, Adélie Garin +3

In this paper we consider two aspects of the inverse problem of how to construct merge trees realizing a given barcode. Much of our investigation exploits a recently discovered con…

math.AT2021★ 18 cited

The Persistent Homology of Dual Digital Image Constructions

Bea Bleile, Adélie Garin, Teresa Heiss +2

To compute the persistent homology of a grayscale digital image one needs to build a simplicial or cubical complex from it. For cubical complexes, the two commonly used constructio…

math.AT2020★ 4 cited

From trees to barcodes and back again: theoretical and statistical perspectives

Lida Kanari, Adélie Garin, Kathryn Hess

Methods of topological data analysis have been successfully applied in a wide range of fields to provide useful summaries of the structure of complex data sets in terms of topologi…

math.AT2020★ 9 cited

Duality in Persistent Homology of Images

Adélie Garin, Teresa Heiss, Kelly Maggs +2

We derive the relationship between the persistent homology barcodes of two dual filtered CW complexes. Applied to greyscale digital images, we obtain an algorithm to convert barcod…

cs.LG2019

A Topological "Reading" Lesson: Classification of MNIST using TDA

Adélie Garin, Guillaume Tauzin

We present a way to use Topological Data Analysis (TDA) for machine learning tasks on grayscale images. We apply persistent homology to generate a wide range of topological feature…