Riemannian statistics meets random matrix theory: towards learning from high-dimensional covariance matrices

Salem Said, Simon Heuveline, Cyrus Mostajeran

Riemannian Gaussian distributions were initially introduced as basic building blocks for learning models which aim to capture the intrinsic structure of statistical populations of…