Iterative shrinkage of sparse and redundant representations are at the heart of many state of the art denoising and deconvolution algorithms. They assume the signal is well approx...
We consider camera self-calibration, i.e. the estimation of parameters for camera sensors, in the setting of a visual sensor network where the sensors are distributed and energy-c...
This paper introduces an algorithm to approximately find optimal wireless networks in presence of fading. Joint optimization of application level rates, routes, link capacities, ...
Nikolaos Gatsis, Alejandro Ribeiro, Georgios B. Gi...
In this paper, we propose a Bayesian model and a Monte Carlo Markov chain (MCMC) algorithm for reconstructing images that consist of only few non-zero pixels. An appropriate distr...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
In this work we propose a methodology for document reconstruction based on dynamic programming and a modified version of the Prim’s algorithm. Firstly, we use polygonal approxi...
Andre Pimenta, Edson J. R. Justino, Luiz S. Olivei...