1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Regularization with optimal space-time priors
Tatiana A. Bubba, Tommi Heikkilä, Demetrio Labate +1
We propose a variational regularization approach based on a multiscale representation called cylindrical shearlets aimed at dynamic imaging problems, especially dynamic tomography.…