We present a component-based system for object detection and identification. From a set of training images of a given object we extract a large number of components which are clust...
Bernd Heisele, Ivaylo Riskov, Christian Morgenster...
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
Networks of communicating finite-state machines equipped with local clocks generate timed MSCs. We consider the problem of checking whether these timed MSCs are "consistent&qu...
Abstract. We address cross-organizational workflows, such as document workflows, which consist of multiple workflow modules each of which can interact with others by sending and re...
Data consistency in transactional federations is a key requirement of advanced E-service applications on the Internet, such as electronic auctions or real-estate purchase. Federat...