As storage deployments within enterprises continue to grow, there is an increasing need to simplify and automate. Existing tools for automation rely on extracting information in t...
The choice of error model used for robustness evaluation of Operating Systems (OSs) influences the evaluation run time, implementation complexity, as well as the evaluation preci...
Abstract. In this work, we present two active shape models for the segmentation of tubular objects. The first model is built using cylindrical parameterization and minimum descrip...
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
A novel random text generation model is introduced. Unlike in previous random text models, that mainly aim at producing a Zipfian distribution of word frequencies, our model also ...