The usefulness of parameterized algorithmics has often depended on what Niedermeier has called, "the art of problem parameterization." In this paper we introduce and expl...
Michael R. Fellows, Serge Gaspers, Frances A. Rosa...
We propose a framework for exploiting dimension-reducing random projections in detection and classification problems. Our approach is based on the generalized likelihood ratio te...
Marco F. Duarte, Mark A. Davenport, Michael B. Wak...
The extraction of consistent skeletons in the presence of boundary noise is still a problem for most skeletonization algorithms. Many suppress skeletons associated with boundary pe...
We present an algorithm for the conversion of very weak alternating Büchi automata into nondeterministic Büchi automata (NBA), and we introduce a local optimization criterion fo...
Trust plays important roles in diverse decentralized environments, including our society at large. Computational trust models help to, for instance, guide users’ judgements in o...
Xin Liu, Anwitaman Datta, Krzysztof Rzadca, Ee-Pen...