Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
or cone, abstraction is chosen to represent a spectrum of user inputs/requirements that are narrowed, refined, and structured into a system design. User inputs require refinement f...
K. Suzanne Barber, Thomas J. Graser, Paul Grisham,...
We propose an algorithm that performs registration of large sets of unstructured point clouds of moving and deforming objects without computing correspondences. Given as input a s...
We present a novel framework for the efficient simulation and animation of discrete thin shells. Our method takes a point sampled surface as input and performs all necessary compu...
Abstract. We present a tool for the formal verification of ANSI-C programs using Bounded Model Checking (BMC). The emphasis is on usability: the tool supports almost all ANSI-C la...