activity
20062020
most citedSpeckle noise and dynamic range in coronagraphic images

133 citations · 432 across the 25 of their papers we have counts for

collaborators

27 papers

eess.SP2020★ 11 cited

Online Graph-Based Change Point Detection in Multiband Image Sequences

Ricardo Augusto Borsoi, Cédric Richard, André Ferrari +2

The automatic detection of changes or anomalies between multispectral and hyperspectral images collected at different time instants is an active and challenging research topic. To…

eess.SP2020★ 3 cited

Online change-point detection with kernels

André Ferrari, Cédric Richard, Anthony Bourrier +1

Change-points in time series data are usually defined as the time instants at which changes in their properties occur. Detecting change-points is critical in a number of applicatio…

eess.SP2019

Distributed Change Detection in Streaming Graph Signals

André Ferrari, Cédric Richard, Louis Verduci

Detecting abrupt changes in streaming graph signals is relevant in a variety of applications ranging from energy and water supplies, to environmental monitoring. In this paper, we…

stat.ML2019★ 7 cited

Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation

Rémi Flamary, Karim Lounici, André Ferrari

This article investigates the quality of the estimator of the linear Monge mapping between distributions. We provide the first concentration result on the linear mapping operator a…

astro-ph.IM2018

Robust distributed calibration of radio interferometers with direction dependent distortions

Virginie Ollier, Mohammed Nabil El Korso, André Ferrari +2

In radio astronomy, accurate calibration is of crucial importance for the new generation of radio interferometers. More specifically, because of the potential presence of outliers…

stat.AP2018

Bayesian Calibration using Different Prior Distributions: an Iterative Maximum A Posteriori Approach for Radio Interferometers

Virginie Ollier, Mohammed Nabil El Korso, André Ferrari +2

In this paper, we aim to design robust estimation techniques based on the compound-Gaussian (CG) process and adapted for calibration of radio interferometers. The motivation beyond…