- As is generally accepted, the most important feature that a Knowledge Discovery in Database (KDD) system must possess is, to be able to discover patterns that are "novel&quo...
Ying Xie, Manmathasivaram Nagarajan, Vijay V. Ragh...
Abstract. We applied different clustering algorithms to the task of clustering multi-word terms in order to reflect a humanly built ontology. Clustering was done without the usual ...
Integer Linear Programming has recently been used for decoding in a number of probabilistic models in order to enforce global constraints. However, in certain applications, such a...
We present a distributed spiking neuron network (SNN) for handling low-level visual perception in order to extract salient locations in robot camera images. We describe a new metho...
This paper draws attention to the need of a systematic approach to introducing electronic voting systems and presents empirical results from a pilot project by the Provincia Autono...
Letizia Caporusso, Carlo Buzzi, Giolo Fele, Pieran...