In this paper we propose interaction-driven Markov games (IDMGs), a new model for multiagent decision making under uncertainty. IDMGs aim at describing multiagent decision problem...
Guided Abstraction Simplification Roberto Giacobazzi1 and Francesco Ranzato2 1 University of Verona, Italy 2 University of Padova, Italy Abstract. In static analysis, approximation...
This paper presents WordRank, a new page ranking system, which exploits similarity between interconnected pages. WordRank introduces the model of the ‘biased surfer’ which is ...
Abstract--Most work on adaptive workflows offers insufficient flexibility to enforce complex policies regarding dynamic, evolvable and robust workflows. In addition, many proposed ...
In this work, we propose a simple yet highly effective algorithm for tracking a target through significant scale and orientation change. We divide the target into a number of frag...