We study visibly pushdown automata (VPA) models for expressing and evaluating queries, expressed using MSO formulas, on words with a nesting structure (like XML documents). We deļ...
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
Named entity recognition studies the problem of locating and classifying parts of free text into a set of predeļ¬ned categories. Although extensive research has focused on the de...
In this paper we propose a novel non-rigid volume registration based on discrete labeling and linear programming. The proposed framework reformulates registration as a minimal path...
Ben Glocker, Nikos Komodakis, Nikos Paragios, Geor...
In quantitative verification, system states/transitions have associated costs, and these are used to associate mean-payoff costs with infinite behaviors. In this paper, we propose ...
Rajeev Alur, Aldric Degorre, Oded Maler, Gera Weis...