Parameter estimation for multivariate gamma distributions. - Florent Chatelain; Jean-Yves Tourneret; Jordi Inglada; André Ferrari (EUSIPCO, 2006)

Parameter Estimation for Multivariate Mixed Poisson Distributions. - Florent Chatelain; André Ferrari; Jean-Yves Tourneret (ICASSP (3), 2006)

Bivariate Gamma Distributions for Multisensor Sar Images. - Florent Chatelain; Jean-Yves Tourneret (ICASSP (3), 2007)

Bivariate Gamma Distributions for Image Registration and Change Detection. - Florent Chatelain; Jean-Yves Tourneret; Jordi Inglada; André Ferrari (IEEE Trans. Image Process., 2007)

Lois Gamma multivariées pour le traitement d'images radar. (Multivarite Gamma based distributions for RADAR imaging). - Florent Chatelain (2007)

Parameter estimation for sums of correlated gamma random variables. Application to anomaly detection in internet traffic. - Florent Chatelain; Pierre Borgnat; Jean-Yves Tourneret; Patrice Abry (ICASSP, 2008)

Change Detection in Multisensor SAR Images Using Bivariate Gamma Distributions. - Florent Chatelain; Jean-Yves Tourneret; Jordi Inglada (IEEE Trans. Image Process., 2008)

Parameter Estimation for Marked Point Processes. Application to Object Extraction from Remote Sensing Images. - Florent Chatelain; Xavier Descombes; Josiane Zerubia (EMMCVPR, 2009)

Pairwise likelihood estimation for multivariate mixed Poisson models generated by Gamma intensities. - Florent Chatelain; Sophie Lambert-Lacroix; Jean-Yves Tourneret (Stat. Comput., 2009)

Maximum-likelihood estimation of the polarization degree from two multi-look intensity images. - Reza Shirvany; Marie Chabert; Florent Chatelain; Jean-Yves Tourneret (ICASSP, 2010)

A Bayesian marked point process for object detection. Application to muse hyperspectral data. - Florent Chatelain; Aude Costard; Olivier J. J. Michel (ICASSP, 2011)

A reversible jump MCMC algorithm for Bayesian curve fitting by using smooth transition regression models. - Matthieu Sanquer; Florent Chatelain; Mabrouka El-Guedri; Nadine Martin (ICASSP, 2011)

Von Mises-Fisher approximation of multiple scattering process on the hypersphere. - Florent Chatelain; Nicolas Le Bihan (ICASSP, 2013)

Hierarchical Bayesian learning for electrical transient classification. - Matthieu Sanquer; Florent Chatelain; Mabrouka El-Guedri; Nadine Martin (ICASSP, 2013)

A Smooth Transition Model for Multiple-Regime Time Series. - Matthieu Sanquer; Florent Chatelain; Mabrouka El-Guedri; Nadine Martin (IEEE Trans. Signal Process., 2013)

Rank-based multiple change-point detection in multivariate time series. - Flore Harle; Florent Chatelain; Cédric Gouy-Pailler; Sophie Achard (EUSIPCO, 2014)

Non-parametric Bayesian framework for detection of object configurations with large intensity dynamics in highly noisy hyperspectral data. - Celine Meillier; Florent Chatelain; Olivier J. J. Michel; Hacheme Ayasso (ICASSP, 2014)

Error control for the detection of rare and weak signatures in massive data. - Celine Meillier; Florent Chatelain; Olivier J. J. Michel; Hacheme Ayasso (EUSIPCO, 2015)

Parameter estimation for multiple scattering process on the sphere. - Florent Chatelain; Nicolas Le Bihan; Jonathan H. Manton (ICASSP, 2015)

Nonparametric Bayesian Extraction of Object Configurations in Massive Data. - Celine Meillier; Florent Chatelain; Olivier J. J. Michel; Hacheme Ayasso (IEEE Trans. Signal Process., 2015)

An adaptive robust regression method: Application to galaxy spectrum baseline estimation. - Raphael Bacher; Florent Chatelain; Olivier J. J. Michel (ICASSP, 2016)

Isotropic Multiple Scattering Processes on Hyperspheres. - Nicolas Le Bihan; Florent Chatelain; Jonathan H. Manton (IEEE Trans. Inf. Theory, 2016)

Bayesian Model for Multiple Change-Points Detection in Multivariate Time Series. - Flore Harle; Florent Chatelain; Cédric Gouy-Pailler; Sophie Achard (IEEE Trans. Signal Process., 2016)

Global error control procedure for spatially structured targets. - Raphael Bacher; Florent Chatelain; Olivier J. J. Michel (EUSIPCO, 2017)

Density Estimation for Compound Cox Processes on Hyperspheres. - Florent Chatelain; Nicolas Le Bihan; Jonathan H. Manton (GSI, 2017)

Robust Control of Varying Weak Hyperspectral Target Detection With Sparse Nonnegative Representation. - Raphael Bacher; Celine Meillier; Florent Chatelain; Olivier J. J. Michel (IEEE Trans. Signal Process., 2017)

Exact Distribution and High-dimensional Asymptotics for Improperness Test of Complex Signals. - Florent Chatelain; Nicolas Le Bihan (ICASSP, 2019)

Performance-Complexity Trade-Off in Large Dimensional Statistics. - Tayeb Zarrouk; Romain Couillet; Florent Chatelain; Nicolas Le Bihan (MLSP, 2020)

Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering. - Romain Couillet; Florent Chatelain; Nicolas Le Bihan (ICML, 2021)

A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources. - Hugo Lebeau; Romain Couillet; Florent Chatelain (ICML, 2022)

Polarized Signal Singular Spectrum Analysis with Complex SSA. - Sébastien Journé; Nicolas Le Bihan; Florent Chatelain; Julien Flamant (ICASSP, 2023)

Sources Separation in Hyperspectral Images for Protoplanets Detection and Characterization. - R. Julo; Florent Chatelain; M. Bonnefoy; Olivier J. J. Michel; O. Flasseur; P. Delorme; S. Jorquera (EUSIPCO, 2024)

A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation. - Hugo Lebeau; Florent Chatelain; Romain Couillet (CoRR, 2024)

Asymptotic Gaussian Fluctuations of Eigenvectors in Spectral Clustering. - Hugo Lebeau; Florent Chatelain; Romain Couillet (IEEE Signal Process. Lett., 2024)