Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Clinical practice and research rely increasingly on analytic approaches to patient data. Visualization enables the comparative exploration of similar patients, a key requirement i...
Sonja Zillner, Tamas Hauer, Dmitri Rogulin, Alexey...
Geometry processing applications frequently rely on octree structures, since they provide simple and efficient hierarchies for discrete data. However, octrees do not guarantee dire...
: Active Database Systems (ADBSs) provides a good infrastructure to define and execute active rules. Nevertheless, this infrastructure offered by ADBSs does not completely satisfy ...
Sidney Viana, Jorge Rady de Almeida Jr., Judith Pa...