Abstract-- Mapping mashups are emerging Web 2.0 applications in which data objects such as blogs, photos and videos from different sources are combined and marked in a map using AP...
Anthony K. H. Tung, Beng Chin Ooi, Dongxiang Zhang
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
A large part of the data on the World Wide Web is hidden behind form-like interfaces. These interfaces interact with a hidden backend database to provide answers to user queries. ...
We render tree foliage levels of detail (LODs) using a new adaptation of billboard clouds. Our contributions are a simple and efficient billboard cloud creation algorithm designed...
J. Dylan Lacewell, David Edwards, Peter Shirley, W...