Abstract. Folding an n × n checkerboard pattern from a square of paper that is white on one side and black on the other has been thought for several years to require a paper squar...
Erik D. Demaine, Martin L. Demaine, Goran Konjevod...
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
Vasileios L. Georgiou, Sonia Malefaki, Konstantino...
Abstract. This paper describes an approach to SKOS vocabulary mapping that takes into account the context in which vocabulary terms are used in annotations. The standard vocabulary...
Abstract— We study averaging algorithms, when implemented in large networks of wirelessly connected elements. We extend the notion of “Increasing Correctness” (IC) which was ...
Abstract— While peer-to-peer consensus algorithms have enviable robustness and locality for distributed estimation and computation problems, they have poor scaling behavior with ...
Jong-Han Kim, Matthew West, Sanjay Lall, Eelco Sch...