1 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
The Manifold Density Function: An Intrinsic Method for the Validation of Manifold Learning
Benjamin Holmgren, Eli Quist, Jordan Schupbach +2
We introduce the manifold density function, which is an intrinsic method to validate manifold learning techniques. Our approach adapts and extends Ripley's -function, and catego…
cs.CG2023★ 1 cited
Metric and Path-Connectedness Properties of the Frechet Distance for Paths and Graphs
Erin Chambers, Brittany Fasy, Benjamin Holmgren +2
The Frechet distance is often used to measure distances between paths, with applications in areas ranging from map matching to GPS trajectory analysis to handwriting recognition. M…
cs.CG2021★ 1 cited
If You Must Choose Among Your Children, Pick the Right One
Benjamin Holmgren, Bradley McCoy, Brittany Fasy +1
Given a simplicial complex and an injective function from the vertices of to , we consider algorithms that extend to a discrete Morse function on . W…