The Fisher-Rao geometry of CES distributions
Learning graphical factor models with Riemannian optimization
Entropic Wasserstein Component Analysis
Through the Wall Radar Imaging via Kronecker-structured Huber-type RPCA
Covariance fitting based InSAR Phase Linking
Robust phase linking in InSAR
Robust and globally sparse PCA via majorization-minimization and variable splitting
Riemannian optimization for non-centered mixture of scaled Gaussian distributions
A Robust EM Algorithm for Radio Interferometric Imaging in The Presence of Outliers
Robust PCA for Through-the-Wall Radar Imaging
Robust Geometric Metric Learning
A New Phase Linking Algorithm for Multi-temporal InSAR based on the Maximum Likelihood Estimator
Multifrequency array calibration in presence of radio frequency interferences
Regularized tapered sample covariance matrix
On the use of geodesic triangles between Gaussian distributions for classification problems
Robust low-rank covariance matrix estimation with a general pattern of missing values
An overview of covariance-based change detection methodologies in multivariate SAR image time series
Probabilistic PCA from heteroscedastic signals: geometric framework and application to clustering
On-line Kronecker Product Structured Covariance Estimation with Riemannian geometry for t-distributed data
Expectation-Maximization Based Direction of Arrival Estimation Under a Mixture of Noise
A Tyler-Type Estimator of Location and Scatter Leveraging Riemannian Optimization
Robust mean and covariance matrix estimation under heterogeneous mixed-effects model with missing values
MIMO filters based on robust rank-constrained Kronecker covariance matrix estimation
Majorization-Minimization on the Stiefel manifold with application to robust sparse PCA
A Riemannian framework for low-rank structured elliptical models
Matched and mismatched estimation of Kronecker product of linearly structured scatter matrices under elliptical distributions
A Riemannian approach to blind separation of t-distributed sources
Robust low-rank change detection for multivariate SAR image time series
Riemannian Geometry and Cramér-rao Bound for Blind Separation of Gaussian Sources
Two-dimensional robust source localization under non-Gaussian noise
On the performance of robust plug-in detectors using M-estimators
Bayesian signal subspace estimation with compound Gaussian sources
Spectral Shrinkage of Tyler's M-Estimator of Covariance Matrix
Robust estimation of structured scatter matrices in (mis)matched models
Modified Sparse Subspace Clustering for Radar Detection in Non-stationary Clutter
On the asymptotics of Maronna's robust PCA
Detection methods based on structured covariance matrices for multivariate SAR images processing
Intrinsic Cramér–Rao bounds for scatter and shape matrices estimation in CES distributions
Asymptotic performance of complex M-estimators for multivariate location and scatter estimation
Robust Subspace Clustering for Radar Detection
Robust-COMET for covariance estimation in convex structures: Algorithm and statistical properties
A subspace approach for shrinkage parameter selection in undersampled configuration for Regularised Tyler Estimators
Robust rank constrained Kronecker covariance matrix estimation
Robust covariance matrix estimation in heterogeneous low rank context
A robust signal subspace estimator
Low-complexity algorithms for low rank clutter parameters estimation in radar systems
Clutter subspace estimation in low rank heterogeneous noise context
Maximum likelihood estimation of clutter subspace in non homogeneous noise context