We exploit the combinatorial structure of conceptual graphs in order to obtain faster execution time when computing projection, which is a core generalisation-specialisation relat...
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
Abstract. The prototype of a content based search engine for mathematical knowledge supporting a small set of queries requiring matching and/or typing operations is described. The ...
Andrea Asperti, Ferruccio Guidi, Claudio Sacerdoti...
Novel reconfigurable computing architectures exploit the inherent parallelism available in many signalprocessing problems. These architectures often consist of networks of compute...
This paper describes an approach to recovering surface models of complex scenes from the quasi-sparse data returned by a feature based stereo system. The method can be used to mer...