Most work on AI planning has focused on the development of fully automated methods for generating plans that satisfy user-speci ed goals. However, users in many domains want the a...
Robust Bayesian inference is the calculation of posterior probability bounds given perturbations in a probabilistic model. This paper focuses on perturbations that can be expresse...
This paper presents our ongoing research on view synthesis of free-viewpoint 3D multi-view video for 3DTV. With the emerging breakthrough of stereoscopic 3DTV, we have extended a ...
— Developing a problem-domain independent methodology to automatically generate high performing solving strategies for specific problems is one of the challenging trends on hype...
In this paper, we present a method for modeling joint information when generating n-best lists. We apply the method to a novel task of characterizing the similarity of a group of ...