In this paper we extend an existing audio background modelling technique, leading to a more robust application to complex audio environments. The determination of background audio...
Geoff A. W. West, Simon Moncrieff, Svetha Venkates...
This paper presents a novel technique for abstracting designs in order to increase the efficiency of formal property checking. Bounded Model Checking (BMC), using Satisfiability (...
Vivekananda M. Vedula, Whitney J. Townsend, Jacob ...
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
This paper is focused on adapting symmetry reduction, a technique that is highly successful in traditional model checking, to stochastic hybrid systems. To that end, we first sho...
Compositional performance analysis iteratively alternates local scheduling analysis techniques and output event model propagation between system components to enable performance a...