In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
—The projection of a photographic dataset on a 3D model is a robust and widely applicable way to acquire appearance information of an object. The first step of this procedure is...
Matteo Dellepiane, Ricardo Marroquim, Marco Callie...
Computer vision applications are able to model and reconstruct three dimensional scenes from several pictures. In this work, we are interested in the group of algorithm that regis...
In this paper we depart from a set of simple assumptions regarding the behavior of a pool of customers associated with an enterprise’s contact center. We assume that the pool of...