This paper describes a theory for modulated objects based on observations of recent musical interface design trends. The theory implies extensions to an object-based approach to c...
Abstract— This paper deals with the use of Bayesian Networks to compute system reliability of complex systems under epistemic uncertainty. In the context of incompleteness of rel...
Abstract. Analyzing the crowd dynamics from video sequences is an open challenge in computer vision. Under a high crowd density assumption, we characterize the dynamics of the crow...
d Abstract) Adrian Francalanza and Matthew Hennessy University of Sussex, Falmer Brighton BN1 9RH, England Abstract. We develop a behavioural theory of distributed programs in the ...
This paper introduces a choice-based method that for the first time makes it possible to quantitatively measure regret theory, one of the most popular models of decision under unc...