3 papers
cs.LG2026
Feature-based morphological analysis of shape graph data
Murad Hossen, Demetrio Labate, Nicolas Charon
This paper introduces and demonstrates a computational pipeline for the statistical analysis of shape graph datasets, namely geometric networks embedded in 2D or 3D spaces. Unlike…
cs.LG2025
Fast -means clustering in Riemannian manifolds via Fréchet maps: Applications to large-dimensional SPD matrices
Ji Shi, Nicolas Charon, Andreas Mang +2
We introduce a novel, efficient framework for clustering data on high-dimensional, non-Euclidean manifolds that overcomes the computational challenges associated with standard intr…
math.NA2024
Data driven learning to enhance a kinetic model of distressed crowd dynamics
Daewa Kim, Demetrio Labate, Kamrun Mily +1
The mathematical modeling of crowds is complicated by the fact that crowds possess the behavioral ability to develop and adapt moving strategies in response to the context. For exa…