3 papers
stat.ME2026
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…
cs.LG2025
Leveraging Low-rank Factorizations of Conditional Correlation Matrices in Graph Learning
Thu Ha Phi, Alexandre Hippert-Ferrer, Florent Bouchard +1
This paper addresses the problem of learning an undirected graph from data gathered at each nodes. Within the graph signal processing framework, the topology of such graph can be l…
eess.SP2025
Missing Data in Signal Processing and Machine Learning: Models, Methods and Modern Approaches
Alexandre Hippert-Ferrer, Aude Sportisse, Amirhossein Javaheri +2
This tutorial aims to provide signal processing (SP) and machine learning (ML) practitioners with vital tools, in an accessible way, to answer the question: How to deal with missin…