In this article we present an infrastructure for creating mash up visual representations of the user profile that combines data from different sources. We explored this approach ...
We consider the problem of multi-task learning, that is, learning multiple related functions. Our approach is based on a hierarchical Bayesian framework, that exploits the equival...
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
Doina Caragea, Jun Zhang 0002, Jyotishman Pathak, ...
The quality of identifiers, the coding style and formatting are important aspects that influence program understandings and maintenance. This is confirmed by the presence of se...
Filippo Corbo, Concettina Del Grosso, Massimiliano...
In background subtraction, cast shadows induce silhouette distortions and object fusions hindering performance of high level algorithms in scene monitoring. We introduce a nonpara...