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Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regress...
International audience -
The degrees of freedom of the Group Lasso for a General Design
In this paper, we are concerned with regression problems where covariates can be grouped in nonoverlapping blocks, and where only a few of them are assumed to be... -
Proximal Splitting Derivatives for Risk Estimation
International audience -
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... -
Sparsity-Promoting Bayesian Dynamic Linear Models
Sparsity-promoting priors have become increasingly popular over recent years due to an increased number of regression and classification applications involving a large... -
Machine Learning Methods for Visual Object Detection
The goal of this thesis is to develop better practical methods for detecting common object classes in real world images. We present a family of object detectors that... -
X-ray CT Image Reconstruction from Few Projections
To improve the safety (lower dose) and the productivity (faster acquisition) of an X-ray CT system, we want to reconstruct a high quality image from a small number of... -
Analysis of a Random Forests Model
Random forests are a scheme proposed by Leo Breiman in the 2000's for building a predictor ensemble with a set of decision trees that grow in randomly selected... -
Exploiting Sparse Property of the Cyclic Autocorrelation Function for Cyclost...
International audience -
Sparsity-based optimization of two lifting-based wavelet transforms for semi-...
International audience -
Compressible Distributions for High-dimensional Statistics
Was previously entitled "Compressible priors for high-dimensional statistics" -
The Degrees of Freedom of the Group Lasso
International audience -
Algorithms based on sparsity hypotheses for robust estimation of the noise st...
Inmany applications, d-dimensional observations result fromthe randompresenceor absence of randomsignals in independent and additivewhite Gaussiannoise. An estimate of... -
Sparsity with sign-coherent groups of variables via the cooperative-lasso
International audience -
Automatic Adaptation of Sound Analysis and Synthesis
In this work, we look for methods providing a local variation of the time-frequency resolution for sound analysis and re-synthesis. In Time-Frequency Analysis,... -
A latent factor model for highly multi-relational data
International audience -
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...
