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Statistical learning with indirect observations
Let $(X,Y)\in\mathcal{X}\times \mathcal{Y}$ be a random couple with unknown distribution $P$. Let $\GG$ be a class of measurable functions and $\ell$ a loss function.... -
Analyse en ondelettes M-bandes en arbre dual; application à la restauration d...
We propose in this thesis a new type of wavelet transform, the dual-tree M-band wavelet decomposition, that has some unique geometrical features. This type of wavelet... -
Random action of compact Lie groups and minimax estimation of a mean pattern
International audience -
Imagerie sismique du Vésuve
Reflected waves carry information about the position, shape and physical properties of the geological discontinuities that originate them. The Ray+Born preserved... -
Analyse de courbes de consommation électrique par chaines de Markov cachées
Nous présentons une méthodologie basée sur les chaînes de Markov cachées pour la modélisation et l'analyse statistique de courbes de consommation électrique. Suite à... -
Multi modal images analysis and processing in oncology
With an initial formation in theoretical computer sciences with a focus on image processing and analysis, my current research activities deal with image and... -
Adaptive Parameter Estimation for Satellite Image Deconvolution
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model... -
Satellite Image Deconvolution Using Complex Wavelet Packets
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem. The direct inversion leads to unacceptable noise amplificatio- n. Usually,... -
Sparse Linear Algebra and Geophysical Migration
The pre-stack depth migration of reflection seismic data can be expressed, with the framework of waveform inversion, as a linear least squares problem. While defining... -
Hydrograph transposition between basins through a geomorphology-based deconvo...
The aim of this study is to consider couples of basins and their respective non-calibrated robust geomorphology-based transfer functions. In the frame of discharge... -
Quaternionic Sparse Approximation
ISBN 978-0-8176-4267-9 -
A penalized weighted least squares approach for restoring data corrupted with...
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Etude cinématique de la rupture sismique en champ lointain : méthodes et réso...
Cette thèse propose un ensemble de méthodes visant à la description de la cinématique de la source sismique, et cela principalement à distance lointaine. Nous... -
Using deconvolution to improve the metrological performance of the grid method
The use of various deconvolution techniques to enhance strain maps obtained with the grid method is addressed in this study. Since phase derivative maps obtained with... -
Multichannel deconvolution and source detection using sparse representations ...
This thesis presents new methods for spherical Poisson data analysis for the Fermi mission. Fermi main scientifical objectives, the study of diffuse galactic background... -
Deconvolution estimation of onset of pregnancy with replicate observations
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Bayesian estimation of regularization and point spread function parameters fo...
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Super-resolution in map-making based on a physical instrument model and regul...
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A primal-dual proximal splitting approach for restoring data corrupted with P...
International audience
