The problem of recovering the sparsity pattern of a fixed but unknown vector β∗ ∈ Rp based on a set of n noisy observations arises in a variety of settings, including subset...
This paper studies a variational Bayesian unmixing algorithm for hyperspectral images based on the standard linear mixing model. Each pixel of the image is modeled as a linear com...
Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourner...
In the last ve years, there has been numerous applications of wavelets and multiresolution analysis in many elds of computer graphics as di erent as geometric modelling, volume vi...
Stochastic optimization problems attempt to model uncertainty in the data by assuming that (part of) the input is specified in terms of a probability distribution. We consider the...
Three dimensional computer reconstruction provides us with a means of visualising past environments, allowing us a glimpse of the past that might otherwise be difficult to appreci...