Refinement operators for theories avoid the problems related to the myopia of many relational learning algorithms based on the operators that refine single clauses. However, the n...
Nicola Fanizzi, Stefano Ferilli, Nicola Di Mauro, ...
Abstract— In this paper we present the design and implementation of a space service that gives pervasive computing applications both a hierarchical and coordinate-based view of p...
Ubiquitous computing promotes physical spaces with hundreds of specialized embedded devices that increase our productivity, alleviate some specific everyday tasks and provide new ...
Object motions can be represented as a sequence of shape deformations and translations which can be interpretated as a sequence of points in N-dimensional shape space. These space...
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...