Jean-François Giovannelli

Orcid: 0000-0002-0372-9329

According to our database1, Jean-François Giovannelli authored at least 57 papers between 1993 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods.
IEEE Trans. Signal Process., 2023

2021
Fast Bayesian Model Selection in Imaging Inverse Problems Using Residuals.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Bayesian Model Selection for Unsupervised Image Deconvolution with Structured Gaussian Priors.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

2020
SPRITE: 3-D SParse Radar Imaging TEchnique.
IEEE Trans. Computational Imaging, 2020

An Insight Into the Gibbs Sampler: Keep the Samples or Drop Them?
IEEE Signal Process. Lett., 2020

Parametric Bayesian estimation of point-like pollution sources of groundwater layers.
Signal Process., 2020

2019
Unsupervised joint deconvolution and segmentation method for textured images: a Bayesian approach and an advanced sampling algorithm.
EURASIP J. Adv. Signal Process., 2019

2018
Linear MALDI-ToF simultaneous spectrum deconvolution and baseline removal.
BMC Bioinform., 2018

Variance component analysis to assess protein quantification in biomarker validation: application to selected reaction monitoring-mass spectrometry.
BMC Bioinform., 2018

A Variational Bayesian Estimation Scheme For Parametric Point-Like Pollution Source of Groundwater Layers.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2017
Indoor 3-D Radar Imaging for Low-RCS Analysis.
IEEE Trans. Aerosp. Electron. Syst., 2017

Bayesian inference for biomarker discovery in proteomics: an analytic solution.
EURASIP J. Bioinform. Syst. Biol., 2017

Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A generalized Swendsen-Wang algorithm for Bayesian nonparametric joint segmentation of multiple images.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Deconvolution-segmentation for textured images.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Bayesian Texture Classification From Indirect Observations Using Fast Sampling.
IEEE Trans. Signal Process., 2016

Gradient Scan Gibbs Sampler: An Efficient Algorithm for High-Dimensional Gaussian Distributions.
IEEE J. Sel. Top. Signal Process., 2016

Joint segmentation of multiple images with shared classes: A Bayesian nonparametrics approach.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Unsupervised segmentation of piecewise constant images from incomplete, distorted and noisy data.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

2015
Fast 3D Synthetic Aperture Radar Imaging from Polarization-Diverse Measurements.
CoRR, 2015

Potts model parameter estimation in Bayesian segmentation of piecewise constant images.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Gradient scan Gibbs sampler: An efficient high-dimensional sampler application in inverse problems.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Bayesian Texture and Instrument Parameter Estimation From Blurred and Noisy Images Using MCMC.
IEEE Signal Process. Lett., 2014

Erratum to "Inverse transport problem of estimating point-like source using a Bayesian parametric method with MCMC" [Signal Processing 96 (2014) 346-361].
Signal Process., 2014

Inverse transport problem of estimating point-like source using a Bayesian parametric method with MCMC.
Signal Process., 2014

Classification of Proteomic MS Data as Bayesian Solution of an Inverse Problem.
IEEE Access, 2014

Bayesian noise model selection and system identification based on approximation of the evidence.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Variable selection for noisy data applied in proteomics.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Variable selection for a mixed population applied in proteomics.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Sampling High-Dimensional Gaussian Distributions for General Linear Inverse Problems.
IEEE Signal Process. Lett., 2012

Estimating hyperparameters and instrument parameters in regularized inversion. Illustration for SPIRE/Herschel map making
CoRR, 2012

Robust MS serum sample classification in proteomics by the use of inverse problems.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

2011
Efficient sampling of high-dimensional Gaussian fields: the non-stationary / non-sparse case
CoRR, 2011

Over-resolution in map-making based on accurate instrument model and regularized inversion. Application to SPIRE/Herschel
CoRR, 2011

Ising field parameter estimation from incomplete and noisy data.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Langevin and hessian with fisher approximation stochastic sampling for parameter estimation of structured covariance.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Image reconstruction in optical interferometry.
IEEE Signal Process. Mag., 2010

Bayesian estimation of regularization and PSF parameters for Wiener-Hunt deconvolution.
CoRR, 2010

Instrument parameter estimation in bayesian convex deconvolution.
Proceedings of the International Conference on Image Processing, 2010

Estimation of the Ising field parameter thanks to the exact partition function.
Proceedings of the International Conference on Image Processing, 2010

Deconvolutionwith gaussian blur parameter and hyperparameters estimation.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Data inversion for hyperspectral objects in astronomy.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

Super-resolution with continuous scan shift.
Proceedings of the International Conference on Image Processing, 2009

2008
Unsupervised Bayesian Convex Deconvolution Based on a Field With an Explicit Partition Function.
IEEE Trans. Image Process., 2008

Correction to "Data Inversion for Over-Resolved Spectral Imaging in Astronomy" [Oct 08 802-811].
IEEE J. Sel. Top. Signal Process., 2008

Data Inversion for Over-Resolved Spectral Imaging in Astronomy.
IEEE J. Sel. Top. Signal Process., 2008

2007
Contaminant source estimation in a two-layers porous environment using a Bayesian approach.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

2006
An Improved Observation Model for Super-Resolution Under Affine Motion.
IEEE Trans. Image Process., 2006

Non-quadratic convex regularized reconstruction of MR images from spiral acquisitions.
Signal Process., 2006

2002
Unsupervised frequency tracking beyond the Nyquist frequency using Markov chains.
IEEE Trans. Signal Process., 2002

2001
Bayesian interpretation of periodograms.
IEEE Trans. Signal Process., 2001

Regularized estimation of mixed spectra using a circular Gibbs-Markov model.
IEEE Trans. Signal Process., 2001

Regularized adaptive long autoregressive spectral analysis.
IEEE Trans. Geosci. Remote. Sens., 2001

1999
Markovian high resolution spectral analysis.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Structural stability of least squares prediction methods.
IEEE Trans. Signal Process., 1998

1996
Regularized estimation of flow patterns in MR velocimetry.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

1993
A statistical study of a regularized method for long auto-regressive spectral estimation.
Proceedings of the IEEE International Conference on Acoustics, 1993


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