Jean-François Giovanelli,
savant. Fou, j'espère.
Sujets divers (et quelques
anciens pour information) :
- [PDF] Parameter learning in tomography: Optimal strategy
and convergent algorithm
- [PDF] Stratégie bayésienne et échantillonnage
stochastique pour la comparaison de modèles. Application en
astronomie
- [PDF] Model comparison and parameter learning in inverse
problems -- Bayesian strategy and stochastic sampling
- [PDF]
Neural network prior and full
Bayesian sampling for image deconvolution
- [PDF] Déconvolution en signal-image : approche
convexe pénalisée et contrainte
- [PDF] Déconvolution d'images : approche bayésienne
autodidacte-myope et sélection de modèle
- [PDF] Déconvolution -- Segmentation jointe
- [PDF] Approche bayésienne hiérarchique pour la découverte
de biomarqueur en protéomique
- [PDF] Imagerie ISAR-3D à données incomplètes en mode
polarisé pour le contrôle industriel : reconstruction d'image,
régularisation, pénalisation, parcimonie
Short Curriculum Vitae [PDF]
Personal
- Name : Jean-François Giovannelli
- Place and date of birth :
Béziers, France, in 1966 or 1976 (I do not remember)
Degrees
- Habilitation à Diriger des Recherches, Signal-Image
Processing, Laboratoire des Signaux et Systèmes (L2S), Université
Paris-Sud (UPS), Orsay,
France, in 2005. Dissertation title "Inversion
et régularisation" [PDF]
- Ph.D.
Thesis, Signal-Image Processing, Laboratoire des Signaux et Systèmes (L2S), Université
Paris-Sud (UPS), Orsay,
France, in 1995. Dissertation title "Caractérisation spectrale en
temps court. Application à l'échographie Doppler.''
("Short time spectral
characterization. Application to Doppler velocimetry.")
- Graduated from the École
Nationale Supérieure de l'Électronique et de ses Applications
(ENSEA) in 1990.
Positions
Teaching
- Basics in signal and image modeling and
processing
- Deterministic: Fourier,
Laplace and Z-transforms, convolution, 1D and 2D,
contionuous-time and discrete time,...
- Stochastic: second order analysis,
correlation, stationarity, power spectral density and also
Gaussian fields, Potts field,...
- Bayesian statistics in signal and image:
likelihood, Fisher information, prior, cost and risk, MMSE
and properties, posterior,...
Stochastic sampling, Markov Chain Monte-Carlo (Gibbs,
Metropolis-Hastings,...).
- Inverse problems, regularization: quadratic
penalties (Wiener, Hunt, Tikhonov), convex penalty (Huber,
Total Variation,...),
half-quadratic approaches and Legendre-Fenchel transform,
augmented Lagrangian algorithm and
ADMM, unsupervised problems and hyperparameter
estimation, myopic and semi-blind problems, Bayesian
approaches, stochastic sampling,... (See Inverse
Problem Course section below).
- And also:
- Formation courte, formation continue
Research, Groupe
Signal-Image, IMS
- Regularization methods for
inverse problems in signal and image processing.
- Penalizations and constraints,
convex approaches, augmanted Lagrangian algorithm, Alternative
Direction Methods of Multilpliers (ADMM)
- Full Bayesian, hierarchical
approach, stochastic sampling, MCMC,...
- Model selection and comparison
- Sorry : no-wavelet-ridgelet-curvelet, fuzzyfree approaches, no-PDE methods for
image processing,...
- Spectral characterization :
spectral analysis, time frequency, frequency tracking, inverse
aliasing, Fourier synthesis, deconvolution.
- Deconvolution, unsupervised
and myopic (semi-blind) problems.
- Parsimonious models (but not
parcimaniac nor porcimoniac) and non-parsimonious ones,
depending on their relevance for the problem at hand, LASSO,
Group-LASSO
- Application fields: radars (SAR, Doppler,...), medical imaging (Doppler, MRI),
astrophysics, proteomics, texture, hyperspectral...
Projets ANR
- BHI-PRO: Bayesian
Hierarchical Inversion in PROteomics (2011-2013) [LINK].
- BNP-SI : Bayesian non parametric methods for
Signal and Image processing (2014-2017) [LINK].
Teaching and Research: activity report and CV (both in french)
About inverse problems and others
An inverse problem course
Slides
- [PDF] Introduction and examples
- [PDF] Linear solutions: least-square and
inverse filtering, quadratic penalty and Wiener-Hunt
solution,...
- Bayesian interpretation and
hyperparameter estimation (slideless... ;-) chalk and
blackboard...)
- [PDF] Convex penalty and edge
preservation: Huber and half-quadratic approach...
- [PDF] Positivity and support constraints,
Alternative Direction
Methods of Multilpliers (ADMM)
- [PDF] Quadratic minimization, system
solvers, matrix inversion: a short and partial view...
- [PDF] An example in astronomy: bi-model, smoothness and parsimony,
positivity and support, ADMM...
- [PDF] An example in radar imaging: high
resolution and sparsity,
ADMM...
- [PDF] Concluding remarks and perspectives
Exercises
- [PDF] Circulant matrices, quadratic
functions, Legendre transform, linear constraints, sparsity,
denoising,...
MatlabWork
- [PDF] Linear
solutions: quadratic penalty and Wiener-Hunt solution, case
of least-square and inverse filtering.
- [PDF] Bayesian standpoint and stochastic
sampling for hyperparameter estimation.
- [PDF] Convex penalty and edge
preservation: Huber and half-quadratic approach.
- [PDF] Positivity constraints and ADMM.
Formation Ecole
Doctorale : Inversion et
imagerie haute résolution
En master : Inversion et
imagerie
Seminars
: Séminaires en problèmes inverses IMS
- IMB - LaBRI
Summer schools : la
quatrième en traitement des signaux et des images à Peyresq
GdR-ISIS : Three
meetings and thirty talks links to the slides
Workshops :
Formation continue :
Un cours concernant l'estimation
bayésienne (quelques éléments).
Exercises
- [PDF]
Vraisemblance, Fisher, Fisher et Kulback,
Posterior, coût et risque, estimation (exemple Gauss,
exponentiel,...).
Travaux pratique
sous Matlab
- [PDF] Travaux
introductifs: simulation et observation (Gauss et uniforme,
couple et corrélation, mélange de deux gaussiennes).
- [PDF] Un exemple basique: estimation des
paramètres d'une densité Gamma...
- [PDF] Un exemple en thermique: estimation
d'un coefficient de diffusivité / convection
- [PDF] Cas du mélange de deux gaussiennes
scalaire: identification des paramètres
- [PDF] Identification des paramètres d'un
système du second ordre
- [PDF] Analyse de raies
Un diaporama à propos
d'échantillonnage stochastique et MCMC
- [PDF]
Variables
continues et discrètes, méthode directes et MCMC, Gibbs et
Metropolis-Hastings...
Formation continue
List
of journal papers (full
list, papers, conferences, book chapters,...). See also
HAL
(and also short
list
and
extra list).
- [PDF]
C. Kemajou Mbakam, M. Pereyra, and J.-F.
Giovannelli, "Marginal likelihood estimation in
semi-blind image deconvolution: A stochastic approximation
approach.", submitted SIAM 2023.
- [PDF]
A. Yan, L. M. Mugnier, J.-F. Giovannelli, R.
Fétick, and C. Petit, "Marginalized blind deconvolution
of Adaptive Optics corrected images using MCMC methods", JATIS 2023.
- [PDF] P. Bohra, P. del Aguila Pla, J.-F. Giovannelli and
M. Unser, "A Statistical Framework to
Investigate the Optimality of Signal-Reconstruction Methods", IEEE Transactions on Signal
Processing, vol. 71, pp.
2043-2055, 2023.
- [LINK] J.-M. Lalande, G. Bourmaud, P. Minvielle, and J.-F.
Giovannelli, "A kriging-based analysis of cloud liquid water
content using CloudSat data",
Atmospheric
Measurement Techniques,
vol. 15, no 15, 2022.
- [PDF] J. Boissy, J.-F. Giovannelli, and P. Minvielle, "An insight into the
Gibbs sampler: keep the samples or drop them?", IEEE Signal Processing Letters, 2020.
- [PDF] T. Benoudiba-Campanini, J.-F. Giovannelli, and P.
Minvielle, " SPRITE : A New Sparse Approach
for 3D High Resolution RCS Imaging", IEEE Transactions
on Computational Imaging, vol. 6, 2020.
- [PDF]
T. Benoudiba-Campanini, J.-F. Giovannelli, and
P. Minvielle, "SPRITE: 3-D SParse Radar Imaging
TEchnique", IET Radar, Sonar
& Navigation, 2020
- [PDF] C. Vacar and J.-F.
Giovannelli, "Unsupervised joint deconvolution
and segmentation method for textured images: A Bayesian
approach and an advanced sampling algorithm", EURASIP Journal on Advances in Signal Processing,
special issue on Advanced Computational Methods for Bayesian
Signal Processing, march 2019.
- [LINK]
B. Ait-El-Fquiha,
J.-F. Giovannelli, N. Paul, A. Girard, I. Hoteit, "Parametric
Bayesian estimation of point-like pollution sources of
groundwater layers", Signal Processing, 2019.
- [LINK]
C. Michelet, Z. Li, W.
Yang, S. Incerti, P. Desbarats, J.-F.
Giovannelli, P. Barberet, M.-H.
Delville, N. Gordillo, G. Devès, and H.
Seznec, "A Geant4 simulation
for three-dimensional proton imaging of microscopic samples", Physica Medica, vol. 65, pp.
172-180, Septembre 2019.
- [LINK]
V. Picaud, J.-F. Giovannelli, C.
Truntzer, J.-P. Charrier, A. Giremus, P. Grangeat, C. Mercier, "Linear MALDI-ToF simultaneous
spectrum deconvolution and baseline removal", BMC Bioinformatics, vol. 19, no 123, 2018.
- A. Klich, C.
Mercier, L. Gerfault, P. Grangeat, C. Beaulieu, E.
Degout-Charmette, T. Fortin, P. Mahé, J.-F.
Giovannelli, J.-P. Charrier, A. Giremus, D.
Maucort-Boulch and P. Roy, "Variance component
analysis to assess protein quantification in biomarker
validation: Application to SRM mass spectrometry", BMC
Bioinformatics, January 2018.
- [PDF]
N. Dridi, A. Giremus, J.-F. Giovannelli, C.
Truntzer, M. Hadzagic, J.-P. Charrier, L. Gerfault, P.
Ducoroy, B. Lacroix, P. Grangeat and P. Roy, "Bayesian inference
for biomarker discovery in proteomics: an analytic solution", EURASIP Journal
on Bioinformatics and Systems Biology, vol. 9, December 2017.
- C. Mercier, A. Klich, C. Truntzer, V.
Picaud, J.-F. Giovannelli, P. Ducoroy, P. Grangeat, D.
Maucort-Boulch and P. Roy, "Variance component
analysis to assess protein quantification in biomarker
discovery: Application to MALDI-TOF mass spectrometry", Biometrical
Journal, December 2017.
- [PDF] P. Minvielle, P. Massaloux, and J.-F. Giovannelli, "Indoor 3D Radar Imaging for
Low-RCS", IEEE Transactions on Aerospace
and Electronic System, vol.
53, no. 2, pp. 995-1008, February 2017.
- C. Michelet, P. Barberet,
P. Desbarats, J.-F. Giovannelli, C.
Schou, I. Chebil, M.-H. Delville, N. Gordillo, D. G. Beasley, G. Devès, P. Moretto and H. Seznec,
"An implementation
of the NiftyRec medical imaging library for PIXE-tomography
reconstruction", Nuclear Instruments and Methods
in Physics Research, Section B: Beam Interactions with
Materials and Atoms, vol. 404, pp. 131-139,
August 2017.
- [PDF] O. Féron, F. Orieux, and J.-F. Giovannelli, "Gradient scan Gibbs sampler: an
efficient algorithm for high-dimensional Gaussian
distributions", IEEE Journal of Selected Topics
in Signal Processing, vol.
10, no 2, pp. 146-159, 2016.
- [PDF] C. Vacar, J.-F. Giovannelli, Y. Berthoumieu, "Bayesian texture
classification from indirect observation unsing fast
sampling", IEEE Trans. Signal
Processing, vol. 64, no 1, pp. 343-352,
2016.
- [PDF] P. Szacherski, J.-F. Giovannelli, L.
Gerfault, P. Mahé, J.-P. Charrier, A. Giremus, B. Lacroix and
P. Grangeat, "Classification of proteomic MS
data as Bayesian solution of an inverse problem", IEEE Access, vol. 2, pp.
1248-1262, September 2014.
- [PDF] C. Vacar, J.-F. Giovannelli, Y.
Berthoumieu, "Bayesian
texture and instrument parameter estimation from blurred and
noisy images unsing MCMC", Signal
Processing Letters, vol. 21, no 6, pp. 707–711, 2014.
- [PDF] A. Hazart, J.-F. Giovannelli, S. Dubost,
and L. Chatellier, "Inverse
transport for point-like source estimation with
a Bayesian parametric method coupled with MCMC
algorithm", Signal Processing, vol. 96, pp 346-361, 2014.
- [PDF] F. Orieux, J.-F.
Giovannelli, T. Rodet, and A. Abergel, "Estimation
of hyperparameters and instrument parameters in regularized
inversion. Illustration for SPIRE/Herschel map making.", Astronomy and astrophysics, vol. 549, January 2013.
- [PDF] F. Orieux, O. Féron and
J.-F. Giovannelli, "Sampling high-dimensional
Gaussian distributions for general linear inverse problems", Signal
Processing Letters, vol.
19, no. 5, pp. 251-254, May 2012. (See Python
Notebook below).
- [PDF] F. Orieux, J.-F.
Giovannelli, T. Rodet, H. Ayasso and A. Abergel, "Super-resolution in map-making
based on a physical instrument model and regularized
inversion. Application to SPIRE/Herschel", Astronomy and astrophysics, vol. 539, March 2012.
- [PDF] F. Orieux, J.-F.
Giovannelli and T. Rodet, "Bayesian
estimation of regularization and PSF parameters for
Wiener-Hunt deconvolution", JOSA-A, vol. 7, no. 27, pp. 1593-1607, July 2010. (See Matlab Code below).
- [PDF] E. Thiébaut and J.-F. Giovannelli, "Image Reconstruction in Optical
Interferometry", IEEE Signal
Processing Magazine, vol. 27,
no. 1, pp. 97-109, January 2010.
- [PDF] T. Rodet, F. Orieux, J.-F.
Giovannelli, and A. Abergel, "Data Inversion for
Over-Resolved Spectral Imaging in Astronomy", IEEE Journal of Selected Topics in Signal
Processing, vol. 2, no. 5, pp. 802-811, October 2008.
- [PDF] J.-F. Giovannelli, "Unsupervised
Bayesian convex deconvolution based on a field with an
explicit partition function", IEEE Trans.
Image Processing, vol. 17, no. 1, pp.
16-23, January 2008.
- [PDF] G. Rochefort, F. Champagnat, G. Le Besnerais and J.-F. Giovannelli, "An Improved Observation Model for
Super-Resolution under Affine Motion", IEEE Trans. Image Processing, vol.
15, no. 11, pp. 3325-3337, November, 2006.
- [PDF] R. Boubertakh, J.-F. Giovannelli, A.
Herment and A. De Cesare, "Non-quadratic convex regularized
reconstruction of MR images from spiral acquisitions", Signal
Processing, vol. 86, pp. 2479-2494, 2006.
- [PDF] J.-F. Giovannelli and A.
Coulais, "Positive
deconvolution for superimposed extended sources and
point sources", Astronomy and astrophysics, vol. 439, pp. 401-412,
2005. (See Matlab
Code below).
- [PDF] V. Samson, F.
Champagnat and J.-F. Giovannelli, "Detection of
Point Objects with Random Subpixel Location and Unknown
Amplitude", Applied
optics, Special Issue on Image processing for EO sensors,
vol. 43, no.2, pp. 257-263, January 2004.
- [PDF] J.-F.
Giovannelli , J. Idier, R. Boubertakh, and A. Herment, "Unsupervised Frequency Tracking
beyond the Nyquist Limit using Markov Chains", IEEE Trans. Signal Processing,
vol. 50, no. 12, pp. 2905-2914, December, 2002.
- C. Berthomier, A. Herment, J.-F. Giovannelli,
G. Guidi, L. Pourcelot, and B.Diebold, "Multigate Doppler Signal Analysis
using 3-D Regularized Long AR Modeling", Ultrasound in Medicine and
Biology, vol. 27, no. 11, pp. 1515-1523, 2001.
- [PDF] A. Mohammad-Djafari, J.-F. Giovannelli, G. Demoment,
and J. Idier, "Regularization,
Maximum Entropy and Probabilistic Methods in Mass
Spectrometry Data Processing Problems", Int. Journal of Mass
Spectrometry, vol. 215, no. 1-3, pp. 175-193, April
2002.
- [PDF] J.-F. Giovannelli, J. Idier, G. Desodt, and D.
Muller, "Regularized adaptive
long autoregressive spectral analysis", IEEE Trans. Geosci. Remote
Sensing, vol. 39, no. 10, pp. 2194-2202, October
2001.
- [PDF] P.
Ciuciu, J. Idier, and J.-F. Giovannelli, "Regularized estimation of mixed
spectra using a circular Gibbs-Markov model", IEEE Trans. Signal Processing,
vol. 49, no. 10, pp. 2201-2213, October 2001.
- [PDF]
J.-F. Giovannelli and J. Idier, "Bayesian interpretation of periodograms", IEEE Trans. Signal Processing,
vol. 49, no. 7, pp. 1988-1996, July 2001.
- [PDF] J.
Idier and J.-F. Giovannelli, "Structural
stability of least squares prediction methods", IEEE Trans. Signal Processing,
vol. 46, no. 11, pp. 3109-3111, November 1998.
- [PDF]
A. Herment, J.-F. Giovannelli, G. Demoment, B. Diebold, and A.
Delouche, "Improved
characterization of non stationary flows using a regularized
spectral analysis of ultrasound Doppler signals", Journal de Physique III,
vol. 7, no. 10, pp. 2079-2102, October 1997.
- [PDF] J.-F.
Giovannelli, G. Demoment, and A. Herment, "A Bayesian method for long AR
spectral estimation: a comparative study", IEEE Trans. Ultrasonics
Ferroelectrics Frequency Control, vol. 43, no. 2, pp.
220-233, March 1996.
- A. Herment and J.-F. Giovannelli, "An adaptive approach to computing
the spectrum and mean frequency of Doppler signals",
Ultrasonic Imaging,
vol. 27, pp. 1-26, 1995.
"© 1996, 1998, 2001,
2002,2006, 2007,2008, 2010, 2011, 2012, 2013, 2014, 2015,
2016,2017 IEEE. Personal use
of this material is permitted. However, permission to
reprint/republish this material for advertising or promotional
purposes or for creating new collective works for sale or
redistribution to servers or lists, or to reuse any copyrighted
component of this work in other works must be obtained from the
IEEE."
Book coordination
(collective contribution)
- J.-F. Giovannelli, and J. Idier, "Méthodes
d'inversion appliquées au traitement du signal et de l'image",
Traité IC2, Série traitement du signal et
de l'image, Hermès,
November 2013
- J.-F. Giovannelli, and J. Idier, "Regularization
and Bayesian Methods for Inverse Problems in Signal and
Image Processing", ISTE Ltd and
John Wiley & Sons Inc, February 2015.
Book chapters
... and a Chinese version now available here !!
- G. Le Besnerais, J.-F. Giovannelli, and G. Demoment, "Inverse Filtering and Other Linear Methods",
ch. 4, pp.80-116 in Bayesian Approach to Inverse
Problems, ISTE Ltd
and John Wiley & Sons Inc, 2008, J. Idier, editor.
- J.-F. Giovannelli , and A. Herment, "Spectral
Characterization in Ultrasonic Doppler Velocimetry", ch.
11, pp.271-295 in Bayesian Approach to Inverse
Problems, ISTE Ltd
and John Wiley & Sons Inc, 2008, J. Idier, editor.
- G. Le Besnerais, J.-F. Giovannelli, and G. Demoment, "Filtrage inverse et méthodes linéaires en
déconvolution", ch. 4, pp.81-114 in Approche
bayésienne pour les problèmes inverses, Traité IC2,
Série traitement du signal et de l'image, Hermès, 2001, J. Idier,
editor.
- J.-F. Giovannelli , and A. Herment, "Caractérisation
spectrale en vélocimétrie Doppler ultrasonore", ch. 11,
pp.271-295 in Approche bayésienne pour les problèmes
inverses , Traité IC2, Série traitement du signal et de
l'image, Hermès,
2001, J. Idier, editor.
- G. Demoment, J. Idier, J.-F. Giovannelli, A.
Mohammad-Djafari, "Problèmes inverses en traitement du
signal et de l'image", Techniques de
l'Ingénieur, Traité Télécoms , vol. TE 5235,
pp.1-25, 2001.
Habilitation
- [PDF] J.-F.
Giovannelli, "Inversion et régularisation",
Habilitation à Diriger des Recherches, Université Paris Sud,
12 décembre 2005.
Two licensed softwares and two patents
- G. Guillot et J.-F. Giovannelli, "UTE-IR4M: un logiciel pour la
reconstruction d'images par IRM", déclaration
d'invention 2015, Logibox APP N° 122380,
IDDN.FR.001.080011.000.S.P.2019.000.31230, 12 février 2019.
- P. Szacherski, P. Grangeat et J.-F.
Giovannelli, "Procédé et dispositif
d'estimation de paramètres biologiques ou chimiques dans un
échantillon, procédé d'aide au diagnostic correspondantdé",
avril 2011, Brevet français étendu aux
Etats-Unis (d'Amérique), N° 11-53008,
CEA/CNRS
- G. Strubel, J.-F. Giovannelli, et P. Grangeat, "Procédé
d'estimation de concentrations de molécules dans un relevé
d'échantillon et appareillage", août 2007, Brevet
français étendu aux Etats-unis (d'Amérique), N° 07-57-131,
CEA/CNRS
- S. Brette, H. Carfantan, J.-F. Giovannelli, T.
Martin, J.-F. Bercher, C. Heinrich, J. Idier et C. Soussen, "Gradient à Pas Adaptatif avec
Corrections, une mise en oeuvre Matlab : GPAC.m",
déclaration d'invention N° DI-0258-01, Logibox APP N° 21961,
IDDN.FR.001.070033.000.S.P.2006.000.10800, 16 février
2006. [PDF DocCourte]
[PDF DocLongue]
Software
- Matlab Code (IDL Code coming soon
or never) for positive deconvolution of superimposed extended
sources and point sources (see Astronomy and astrophysics
paper above) [DownLoad]
- Matlab Code for regularization
and instrument parameters in deconvolution (see JOSA paper
above) [LINK]
- Python
Code for Sampling high-dimensional Gaussian
distributions (see Signal Processing Letters paper
above) [LINK]
Supervised
theses
- Lisa Garcia, 2023-, Apprentissage
machine pour la dynamique rapide: dépouillement de données
expérimentales, calibration de paramètres et comparaison de
modèles physiques, co-advisor : Gaël Poette,
collaboration with CEA-CESTA.
- Pierre Minier, 2023-, Déconvolution
pour l’imagerie à haute résolution. Application à
l'imagerie en astronomie, co-advisor : François
Orieux, collaboration with Paris-Saclay,
in addition to PEPR-Origins
and RRI-Origins.
- Liam Moroy, 2022-, Réseaux
de neurones et approche bayésienne pour l'imagerie de
turbulences à haute résolution, collaboration with
ONERA-DTIS, co-advisor : Frédéric Champagnat and
Guillaume Bourmaud.
- Charlesquin Kemajou, 2021-, Bayesian and machine learning
methods for blind and semi-blind inverse problems in
computational imaging: Applications to hyperspectral image
super-resolution and radio-astronomy, co-advisor : Marcelo
Pereyra
- Alix Yan, [PDF],
[Video],
2020-2023, Reconstruction d'images multi-temporelles à
haute résolution angulaire dans le visible. Application à
l'observation astronomique et l'observation de satellites, collaboration
with ONERA-DOTA,
co-advisor : Laurent
Mugnier
- Julien Boissy, [PDF], 2018-2022, Simulation
sous incertitudes pour l'électromagnétisme, co-advisor : Pierre Minvielle,
collaboration with CEA-CESTA
- Benjam Harroué, [PDF], 2016-2020, Model selection in inverse
problems, co-advisor : Marcelo
Pereyra
- Thomas Benoudiba, [PDF], 2015-2018, Imagerie ISAR-3D à données
incomplètes en mode polarisé pour le contrôle industriel, co-advisor : Pierre Minvielle,
collaboration with CEA-CESTA.
- Andrei Barbos, [PDF], 2014-2018, Efficient High-Dimension Gaussian Sampling based on
Matrix Splitting. Application to Bayesian Inversion, co-advisor : François Caron,
Department of Statistics, University College Oxford.
- Jessica Sodjo, [PDF], 2014-2018, Non parametric Bayesian model
for joint segmentation, main-advisor
: Audrey
Giremus, others François Caron and Nicolas
Dobigeon.
- Cornelia Vacar, [PDF], 2010-2014, Bayesian
approach for texture deconvolution-segmentation.
Unsupervised and myopic aspects, co-advisor : Yannick Berthoumieu.
- Pascal Szacherski, [LINK], 2010-1012, Molecular profile
reconstruction for biomarker discovery, collaboration with LETI (CEA-DRT),
co-advisor : Pierre Grangeat.
- François Orieux,
[LINK], 2006-2009, Inversion bayésienne : aspects
non-supervisés et sur-résolus en milieu incertain et
application aux données du satellite Herschel,
collaboration with IAS,
co-advisor : Thomas
Rodet und Alain Abergel (IAS).
- Grégory Strubel, [LINK], 2005-2008,
Profile reconstruction for
analysis microsystems applied to biology and health care,
collaboration with LETI
(CEA-DRT), co-advisor : Pierre
Grangeat.
- Aurélien Hazart, 2004-2007, Identification
of sources of pollution, collaboration with EdF/DER,
co-advisor : Laurence Chatellier and Stephanie Dubost.
- Gilles Rochefort, 2001-2005, High
resolution imaging from video sequences, collaboration
with ONERA-DTIM ,
co-advisor : Frédéric Champagnat and Guy Lebesnerais.
- Vincent Samson, 1999-2002,
Detection of punctual moving objects in image sequences,
collaboration with
ONERA-DTIM, co-advisor : Frédéric Champagnat.
- Redha Boubertakh, 1998-2002,
Fourier synthesis and application to Magnetic Resonance
Imaging, collaboration with Unité IMQ, INSERM U494
co-advisor Alain Herment.
- Philippe Ciuciu, [LINK], 1996-2000, Markovian high resolution
spectral analysis and application to meteorological radars,
collaboration with Société Thomson-CSF-AIRSYS (Daniel
Muller and Guy Desodt), main-advisor : Jérome Idier,
Ircyn.
Links
- Marc
Allain, Yoann
Altmann, Jean-François
Bercher, Hervé
Carfantan, Philippe
Ciuciu, Olivier Feron, Yves
Goussard, Christian
Heinrich, Mahieddine Ichir, Jérôme
Idier, Caroline
Kulcsar, Ali
Mohammad-Djafari, Laurent
Mugnier, Pierre Minvielle, François Orieux, Marcelo
Pereyra, Thomas
Rodet, Hichem Snoussi, Charles
Soussen, Eric
Thiebaut
Une pensée
--- Ce dessin m'a pris cinq minutes, mais j'ai mis
soixante ans pour y arriver. Auguste Renoir.
Une maxime
--- Rien ne résiste au travail, rien. Georges Duclos,
architecte.
Une tentative
--- Depuis pas mal de siècles déjà l'humanité cherche
à comprendre... Aujourd'hui, elle est sur le point de
transférer cette tâche à la machine, sans trop la comprendre.
Autre genre d'activité
--- Une réclame pour divers racontars : Les étoiles polaires
Des magiciens ---
Ils ont fait de moi un sportif : CAPAS ;-)
Un bouquin --- Quelque
chose que j'aurais aimé écrire : Olivier Courcelle, Le théorème de Travolta. L'histoire
de trois jeunes ratés du théorème, assez sérieusement
névrosés... Sur les
travers de nos communautés scientifiques...
Une BD --- Crayon
noir --- Samuel Paty. Histoire d'un prof. --- Valérie
Igounet et Guy Le Besnerais.
Extrait d'un autre ---
"...
en été c'est normal d'avoir chaud !", Cédric Villani, Théorème vivant. Une autre
histoire de théorème.
|
Author: Jean-François
Giovannelli -- Created:
September 12, 1999 -- Updated: October 2023 |