Abstract. We propose a framework that learns functional objectes from spatio-temporal data sets such as those abstracted from video. The data is represented as one activity graph t...
Muralikrishna Sridhar, Anthony G. Cohn, David C. H...
Abstract This paper explores the suitability of functional languages for programming real-time systems. We study the requirements of real-time systems in general, outline typical l...
Abstract. We introduce a semantics for classical logic with partial functions. We believe that the semantics is natural. When a formula contains a subterm in which a function is ap...
Abstract— The “water-filling” solution for the quadratic ratedistortion function of a stationary Gaussian source is given in terms of its power spectrum. This formula natura...
Abstract. On product domains, sparse-grid approximation yields optimal, dimension-independent convergence rates when the function that is approximated has L2-bounded mixed derivati...