This paper deals with a new interest points detector. Unlike most standard detectors which concentrate on the local shape of the signal, the main objective of this new operator is...
In this paper we report on a study in which genetic algorithms are applied to the analysis of noisy time-series signals, which is related to the problem of analyzing the motion ch...
Radial basis function networks (RBF) are efficient general function approximators. They show good generalization performance and they are easy to train. Due to theoretical consider...
Remote code injection exploits inflict a significant societal cost, and an active underground economy has grown up around these continually evolving attacks. We present a method...
Justin Ma, John Dunagan, Helen J. Wang, Stefan Sav...
This paper proposes a hybrid architecture for distributed virtual environments, utilizing servers alongside peer-to-peer components. Current research into peer-based systems seeks...