Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
Building on earlier empirical work we have designed a prototype that supports modeling in groups. The COllaborative Modeling Architecture tool (COMA tool) coordinates UML modeling ...
We propose a sinogram restoration method which consists of a patch-wise non-linear processing, based on a sparsity prior in terms of a learned dictionary. An off-line learning pro...
As the use of online business systems increase so does the need to produce more efficient and less error prone web based Modeling is a core abstraction mechanism used to manage co...
Abstract. Goal models have been used in Computer Science in order to represent software requirements, business objectives and design qualities. In previous work we have presented a...
Roberto Sebastiani, Paolo Giorgini, John Mylopoulo...