Algorithmic advances in riemannian geometry and applications: for machine learning, computer vision, statistics, and optimization
Éditeur :
Springer International Publishing AG
ISBN :
9783319831909
Date de publication :
28 juin 2018
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
This book presents a selection of the most recent algorithmic advances in Riemannian geometry in the context of machine learning, statistics, optimization, computer vision, and related fields.