The size of Internet has been growing very fast and many documents appear every day in the Net. Users find many problems to obtain the information that they really need. In order t...
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
This event is the second instance of the contest for graph transformation-based tools, which was first held as part of the AGTIVE workshop. The aim is to stimulate tool developmen...
We propose a nonparametric, probabilistic model for the automatic segmentation of medical images, given a training set of images and corresponding label maps. The resulting inferen...
Mert R. Sabuncu, B. T. Thomas Yeo, Koenraad Van Le...
In this paper we investigated the use of Genetic Programming (GP) to evolve programs which could detect moving objects in videos. Two main approaches under the paradigm were propo...