Partitioning data parallel computations across a network of heterogeneous workstations is a dificult problem for the user: We have developed a runtime partitioning methodfor choos...
This paper studies the input design problem for system identification where time domain constraints have to be considered. A finite Markov chain is used to model the input of the s...
Efficient exploitation of the aggregate resources available to a researcher is a challenging and real problem. The challenge becomes all the greater when researchers who collaborat...
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
The increasing diffusion of ubiquitous communication infrastructures and physical active objects --like sensors and smart tags-- is motivating the integration of these devices int...
Luciano Baresi, Paolo Beretta, Roberto Fraccapani,...