The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
We present an image-based rendering system to viewpoint-navigate through space and time of complex real-world, dynamic scenes. Our approach accepts unsynchronized, uncalibrated mu...
Christian Lipski, Christian Linz, Kai Berger, Anit...
In many systems such as PDAs, users access data through a limited viewport. This means that users have to frequently navigate to regions that are off-screen to view important conte...
Grant Partridge, Mahtab Nezhadasl, Pourang Irani, ...
We address the problem of updating XML views over relational data by translating view updates expressed in the XQuery update facility to embedded SQL updates. Although our XML view...
This paper describes the rationale and subsequent development stages of a work in progress: a graffiti toolkit for rich spatial 3D environments and an actual world mnemonic collec...