Recent work on unsupervised feature learning has shown that learning on polynomial expansions of input patches, such as on pair-wise products of pixel intensities, can improve the...
Deformable models are a powerful tool in both computer graphics and computer vision. The description and implementation of the deformations have to be simultaneously flexible and ...
This paper presents an object-oriented approach for describing and modelling buildings by means of computer graphics. The approach is based on an object- and component-oriented gr...
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
the extensibility and evolution of network services and protocols had become a major research issue in recent years. The 'programmable' and 'active' network par...