We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
Aiming at reaching an interactive and simplified usage of high-resolution 3D acquisition systems, this paper presents a fast and automated technique for pre-alignment of dense ra...
Francesco Bonarrigo, Alberto Signoroni, Riccardo L...
Event-driven distributed infrastructures are becoming increasingly important for information dissemination and application integration. We examine the problem of optimal resource ...
We have implemented an object-oriented real-time database system called BeeHive. Using BeeHive, the performance of two data-deadline cognizant scheduling policies, called EDDF and...
— A main difficulty for orbit determination of space debris is the correlation of tracks of data belonging to the same physical object. A sequence of optical measurements of an ...