This paper introduces a technique for incremental and compositional model checking that allows efficient reuse of model-checking results associated with the features in a product l...
Model checking cryptographic protocols have evolved to a valuable method for discovering counterintuitive security flaws, which make possible for a hostile agent to subvert the go...
—This paper presents a study of gradient estimation methods for rendering unstructured-mesh volume data. Gradient estimation is necessary for rendering shaded isosurfaces and spe...
A macroscopic two-fluid model of compressible particle-laden gas flows is considered. The governing equations are discretized by a high-resolution finite element method based on a...
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...