Computer vision tasks such as learning, recognition, classification or segmentation applied to spatial data often requires spatial normalization of repeated features and structure...
We present a novel application on model checking through SPIN as a means for verifying purely descriptive specifications written in TRIO, a first order, linear-time temporal logic ...
Angelo Morzenti, Matteo Pradella, Pierluigi San Pi...
In previous work we have investigated a notion of approximate bisimilarity for labelled Markov processes. We argued that such a notion is more realistic and more feasible to compu...
This work presents a performance modeling framework, developed by the Performance Modeling and Characterization (PMaC) Lab at the San Diego Supercomputer Center, that is faster tha...
Laura Carrington, Allan Snavely, Xiaofeng Gao, Nic...
Abstract. Trust is hard to establish in a service-oriented grid architecture because of the need to support end user single sign-on and dynamic transient service. In order to enhan...