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Proximal methods for the resolution of inverse problems : application to posi...
The objective of this work is to propose reliable, efficient and fast methods for minimizing convex criteria, that are found in inverse problems for imagery. We focus... -
Structured Sparsity-Inducing Norms : Statistical and Algorithmic Properties w...
Numerous fields of applied sciences and industries have been witnessing a process of digitisation over the past few years. This trend has come with a steady increase... -
Robust estimation for uncertain systems
A system is said to be robust if it is possible to guarantee his dynamic behaviour despite dispersion of his features due to production, environmental changes or... -
Traitement des signaux parcimonieux et applications
Whatever the field of application, optimizing the results and sometimes even solving problems requires taking advantage of the whole prior information. In this... -
Linear Parameter Varying (LPV) control of flexible robotic manipulators
Flexible robots are becoming more and more common in practical applications. This type of robots is characterized by the use of lightweight materials, which allows... -
Optimisation convexe pour la cosegmentation
People and most animals have a natural ability to see the world and understand it effortlessly. The apparent simplicity of this task suggests that this ability is, to... -
Algorithm to search for saddle points of lagrangians which are not strictly c...
Étude de l'optimisation des capacités de transport des lignes du réseau électrique national, de façon à minimiser la somme des couts de production électrique et des... -
Learning algorithms and statistical software, with applications to bioinforma...
Statistical machine learning is a branch of mathematics concerned with developing algorithms for data analysis. This thesis presents new mathematical models and... -
Image restoration in the presence of Poisson-Gaussian noise
This thesis deals with the restoration of images corrupted by blur and noise, with emphasis on confocal microscopy and macroscopy applications. Due to low photon count... -
Proximal Decompositions and Algorithms for Signal Analysis and Iterative Sign...
This thesis is devoted to the study and the resolution of certains nonlinear problems in signal and image processing via convex analysis. We propose a unified... -
Accélération de la méthode de décomposition de Benders
International audience -
Supervised metric learning with generalization guarantees
In recent years, the crucial importance of metrics in machine learningalgorithms has led to an increasing interest in optimizing distanceand similarity functions using... -
Cost functions for the estimation of acoustic filters in reverberant mixtures
This work is focused on the processing of multichannel and multisource audio signals. From an audio mixture of several audio sources recorded in a reverberant room, we...
