Abstract: Model based testing promises systematic test coverage in a continuous testing process. However, in practice, model based testing struggles with informal specifications, d...
This paper presents Bayesian edge inference (BEI), a
single-frame super-resolution method explicitly grounded in
Bayesian inference that addresses issues common to existing
meth...
Bryan S. Morse, Dan Ventura, Kevin D. Seppi, Neil ...
This paper presents a simple yet practical 3-D modeling
method for recovering surface shape and reflectance
from a set of images. We attach a point light source to a
hand-held c...
SBASCO provides a new programming model for parallel and distributed numerical applications which exploits the combination of software components and skeletons. This paper present...
Abstract. This paper presents algorithms and data structures that exploit a compositional and hierarchical specification to enable more efficient symbolic modelchecking. We encod...