In the framework of an evolutionary approach to machine learning, this paper presents the preliminary version of a learning system that uses Genetic Programming as a tool for autom...
Claudio De Stefano, Antonio Della Cioppa, Angelo M...
In this paper we present a novel processor microarchitecture that relieves three of the most important bottlenecks of superscalar processors: the serialization imposed by true dep...
An emerging class of data-intensive applications involve the geographically dispersed extraction of complex scientific information from very large collections of measured or compu...
William E. Allcock, Joseph Bester, John Bresnahan,...
Recently, the bag-of-words approach has been successfully applied to automatic image annotation, object recognition, etc. The method needs to first quantize an image using the vis...
Physically based dynamic models are able to describe variable shapes without prior training. Their behaviour to find an object is intuitive, which facilitates corrections of false...