A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
There is a general consensus on the importance of good Requirements Engineering (RE) for achieving high quality software. The modeling and analysis of requirements have been the m...
In our earlier work we have proposed using the declarative language DecSerFlow for modeling, analysis and enactment of processes in autonomous web services. DecSerFlow uses constra...
Maja Pesic, Dragan Bosnacki, Wil M. P. van der Aal...
This paper describes a method for seamless enlargement or editing of difficult colour textures containing simultaneously both regular periodic and stochastic components. Such textu...
In this paper we consider the problem of object parsing,
namely detecting an object and its components by composing
them from image observations. Apart from object localization,
...