We have developed a two-phase generative / discriminative learning procedure for the recognition of classes of objects and concepts in outdoor scenes. Our method uses both multipl...
Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust...
Given a set of images of scenes containing multiple object categories (e.g. grass, roads, buildings) our objective is to discover these objects in each image in an unsupervised man...
A top-k query combines different rankings of the same set of objects and returns the k objects with the highest combined score according to an aggregate function. We bring to ligh...
Nikos Mamoulis, Kit Hung Cheng, Man Lung Yiu, Davi...
The result of a distance join operation on two sets of objects R, S on a spatial network G is a set P of object pairs <p, q>, p R, q S such that the distance of an object ...