Compressed Sensing is a new paradigm for acquiring the compressible signals that arise in many applications. These signals can be approximated using an amount of information much ...
Anna C. Gilbert, Martin J. Strauss, Joel A. Tropp,...
In this paper we propose a new bottom-up query evaluation method for stratified deductive databases based on the Magic Set approach. As the Magic Sets rewriting may lead to unstra...
As the Semantic Web (SW) is being automatically populated with large number of RDF triples scalability issues related to wide scale reasoning occur. We believe these difficulties ...
This paper describes a distributed algorithm for Boolean function manipulation. The algorithm is based on Binary Decision Diagrams (BDDs), which are one of the most commonly used ...
F. Bianchi, Fulvio Corno, Maurizio Rebaudengo, Mat...
Abstract. The aim of this paper is to present a new tool of multiple instance learning which is designed using a grammar based genetic programming (GGP) algorithm. We study its app...