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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...
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Fast rates for noisy clustering
The effect of errors in variables in empirical minimization is investigated. Given a loss $l$ and a set of decision rules $\mathcal{G}$, we prove a general upper bound... -
Restauration d'images biologiques 3D en microscopie confocale par Transformée...
La microscopie confocale est une méthode puissante pour l'imagerie 3D de spécimens biologiques. Néanmoins, les images acquises sont dégradées non seulement par du flou... -
3D Microscopy Deconvolution using Richardson-Lucy Algorithm with Total Variat...
Confocal laser scanning microscopy is a powerful and increasingly popular technique for 3D imaging of biological specimens. However the acquired images are degraded by... -
Estimating hyperparameters and instrument parameters in regularized inversion...
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Minimax rates of convergence for Wasserstein deconvolution with supersmooth e...
The subject of this paper is the estimation of a probability measure on ${\mathbb R}^d$ from data observed with an additive noise, under the Wasserstein metric of... -
Enhancing with deconvolution the metrological performance of the grid method ...
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Identification of vibration excitation using a regularized Finite Element ope...
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Inspection problem of composite materials using an ultrasonic signal processing
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High-resolution deconvolution applied to non destructive testing
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An overview of inverse problem regularization using sparsity
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Anisotropic oracle inequalities in noisy quantization
The effect of errors in variables in quantization is investigated. We prove general exact and non-exact oracle inequalities with fast rates for an empirical... -
Relative extents of preformation and neoformation in tree shoots: Analysis by...
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Adaptive Noisy Clustering
The problem of adaptive noisy clustering is investigated. Given a set of noisy observations $Z_i=X_i+\epsilon_i$, $i=1, \ldots, n$, the goal is to design clusters...
