Abstract. Principal Component Analysis (PCA) is one of the most popular techniques for dimensionality reduction of multivariate data points with application areas covering many bra...
Abstract. The research on P2P systems which support skewed key distributions has rapidly advanced in the recent years. Yet, the assumptions on the skews we are dealing with remaine...
Sarunas Girdzijauskas, Anwitaman Datta, Karl Abere...
Abstract. We establish mutual translations between the classes of 1safe timed-arc Petri nets (and its extension with testing arcs) and networks of timed automata (and its subclass ...
Abstract. We present automated techniques for the explanation of counterexamples, where a counter-example should be understood as a sequence of program statements. Our approach is ...
Accurately and automatically conveying the structure of a volume model is a problem not fully solved by existing volume rendering approaches. Physics-based volume rendering approa...