2019
Improved Estimation of the Distance between Covariance Matrices
ICASSP 2019accepted
A wide range of machine learning and signal processing applications involve data discrimination through covariance matrices. A broad family of metrics, among which the Frobe-nius, Fisher, Bhattacharyya distances, as well as the Kullback-Leibler or Rényi divergences, are regularly exploited. Not bein…