Parameter Estimation in Finite Mixture Models by Regularized Optimal Transport: A Unified Framework for Hard and Soft Clustering
Langue
en
Document de travail - Pré-publication
Résumé en anglais
In this short paper, we formulate parameter estimation for finite mixture models in the context of discrete optimal transportation with convex regularization. The proposed framework unifies hard and soft clustering methods ...Lire la suite >
Project ANR
Generalized Optimal Transport Models for Image processing - ANR-16-CE33-0010