A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
— In this paper a methodology to the analysis of bifurcations of variable structure systems is proposed. This methodology, based on the use of symbolic computation packages, is d...
A method to correspond linear structures in mammographic images is presented. Our approach is based on automatically establishing correspondence between linear structures which ap...
Robert Marti, Reyer Zwiggelaar, Caroline M. E. Rub...
Reversible structures are computational units that may progress forward and backward. We study weak coherent structures that are primarily inspired by dna circuits and may be comp...
Abstract. Recent advances in software and hardware for clustered computing have allowed scientists and computing specialists to take advantage of commodity processors in solving ch...