29 citations · 47 across the 10 of their papers we have counts for
3 papers · 1 filter
Robust Covariance Estimation for Entry-wise Contaminated and Partially Observed Data via Expectation Maximization Algorithm
Matys Savidan, Mohammed Nabil El Korso
Robust covariance estimation under entry-wise contamination and missing data is challenging in various signal processing applications. Under the Student- model, observation-leve…
Dimensionality Reduction for Hyperspectral Image Classification
Mohamed Cherifi, Ammar Mesloub, Mohammed Nabil El Korso +2
This paper addresses the issue of supervised classification in the context of hyperspectral satellite images. It deals with two fundamental aspects: dimensionality reduction of dat…
Robust Expectation-Maximization for Covariance Estimation in SIRV Models with Missing Data: Application to InSAR Time Series
M. Cherifi, M. N. El Korso, A. Hippert-Ferrer +1
This paper presents a robust Expectation-Maximization framework for covariance estimation in Scale-Invariant Random Vector (SIRV) models with missing data under ignorable missingne…