4 citations · 10 across the 15 of their papers we have counts for
3 papers · 1 filter
Random matrix theory improved Fréchet mean of symmetric positive definite matrices
Florent Bouchard, Ammar Mian, Malik Tiomoko +2
In this study, we consider the realm of covariance matrices in machine learning, particularly focusing on computing Fréchet means on the manifold of symmetric positive definite mat…
A New Statistic for Testing Covariance Equality in High-Dimensional Gaussian Low-Rank Models
Rémi Beisson, Pascal Vallet, Audrey Giremus +1
In this paper, we consider the problem of testing equality of the covariance matrices of L complex Gaussian multivariate time series of dimension . We study the special case wh…
Covariance Fitting Interferometric Phase Linking: Modular Framework and Optimization Algorithms
Phan Viet Hoa Vu, Arnaud Breloy, Frédéric Brigui +2
Interferometric phase linking (IPL) has become a prominent technique for processing images of areas containing distributed scaterrers in SAR interferometry. Traditionally, IPL cons…