Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Sharing selected data structures among virtual machines of a safe language can improve resource utilization of each participating run-time system. The challenge is to determine wh...
Bernard Wong, Grzegorz Czajkowski, Laurent Dayn&eg...
We present a framework for decision making with the possibility to express circumstance-dependent preferences among different alternatives for a decision. This new formalism, Order...
Abstract In this article we show, how temporal backdrops that alternately change their color rapidly at recording rate can aid chroma keying by transforming color spill into a neut...
We propose a technique to automatically synthesize programs and schedules for hard real-time distributed (embedded) systems from synchronous data-flow models. Our technique connec...
Dumitru Potop-Butucaru, Akramul Azim, Sebastian Fi...