Nowadays, many state-of-the-art user interfaces to complexly structured data collections require appropriate information visualization methods. With the increase in graphics perfo...
Thomas Risse, Martin Leissler, Matthias Hemmje, Ka...
Abstract. The incremental and dynamic construction of interconnection networks from smaller components often leaves the fundamental problem of assigning addresses to processors to ...
Stephan Olariu, Ivan Stojmenovic, Albert Y. Zomaya
Although image understanding and natural language processing constitute two major areas of AI, they have mostly been studied independentlyof each other. Only a few attempts have b...
Abstract. We introduce a new conceptual model for representing and designing Stochastic Local Search (SLS) algorithms for the propositional satisfiability problem (SAT). Our model...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...