Abstract. Probabilistic techniques for verification of finite-state transition systems offer huge memory savings over deterministic techniques. The two leading probabilistic scheme...
Network applications are becoming increasingly popular in the embedded systems domain requiring high performance, which leads to high energy consumption. In networks is observed t...
Due to our increasing reliance on computer systems, security incidents and their causes are important problems that need to be addressed. To contribute to this objective, the pape...
An important application of both data abstraction and plan execution is the execution of clinical guidelines and protocols (CGP), both to validate them against a large set of test ...
Peter Votruba, Andreas Seyfang, Michael Paesold, S...
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...