activity
20142021
most citedRobust control of varying weak hyperspectral target detection with sparse non-negative representation

14 citations · 18 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2021★ 3 cited

Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering

Romain Couillet, Florent Chatelain, Nicolas Le Bihan

The article introduces an elementary cost and storage reduction method for spectral clustering and principal component analysis. The method consists in randomly "puncturing" both t…

eess.SP2019★ 1 cited

Asymptotic regime for impropriety tests of complex random vectors

Florent Chatelain, Nicolas Le Bihan, Jonathan H. Manton

Impropriety testing for complex-valued vector has been considered lately due to potential applications ranging from digital communications to complex media imaging. This paper prov…

stat.ME2017★ 14 cited

Robust control of varying weak hyperspectral target detection with sparse non-negative representation

Raphael Bacher, Celine Meillier, Florent Chatelain +1

In this study, a multiple-comparison approach is developed for detecting faint hyperspectral sources. The detection method relies on a sparse and non-negative representation on a h…

cs.IT2014

Isotropic Multiple Scattering Processes on Hyperspheres

Nicolas Le Bihan, Florent Chatelain, Jonathan H. Manton

This paper presents several results about isotropic random walks and multiple scattering processes on hyperspheres . It allows one to derive the Fourier expansio…

stat.ME2014

Bayesian Model for Multiple Change-points Detection in Multivariate Time Series

Flore Harlé, Florent Chatelain, Cédric Gouy-Pailler +1

This paper addresses the issue of detecting change-points in multivariate time series. The proposed approach differs from existing counterparts by making only weak assumptions on b…