We present a general framework for characterizing the object identity in a single image or a group of images with each image containing a transformed version of the object, with a...
We study highly expressive query languages such as datalog, fixpoint, and while-languages on probabilistic databases. We generalize these languages such that computation steps (e....
Abstract. A new exemplar-based probabilistic approach for face recognition in video sequences is presented. The approach has two stages: First, Exemplars, which are selected repres...
A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull...
Abstract. Devices connected wirelessly, in various forms including computers, hand-held devices, ad hoc networks, and embedded systems, are expected to become ubiquitous all around...