In the general classification context the recourse to the so-called Bayes decision rule requires to estimate the class conditional probability density functions. In this paper we p...
Meta-heuristics such as simulated annealing, genetic algorithms and tabu search have been successfully applied to many difficult optimization problems for which no satisfactory pro...
Collaborative mobile applications support users on the move in order to perform a collaborative task. One of the challenges when designing such applications is to consider the cont...
Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in co...
: Prediction of the quality attributes of software architectures requires technologies that enable the application of analytic theories to component models. However, available anal...