Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
Abstract. The specification of business processes is becoming a more and more critical aspect for organizations. Such processes are specified as workflow models expressing the logi...
We present a data symmetry reduction approach for model temporal-epistemic logic. The technique abstracts the epistemic indistinguishably relation for the knowledge operators, and ...
Mika Cohen, Mads Dam, Alessio Lomuscio, Hongyang Q...
Abstract. The simple model on which the Internet has operated, with all packets treated equally, and charges only for access links to the network, has contributed to its explosive ...
Abstract: We propose a new system that is able to handle the entire Personal Dataspace of a user. A Personal Dataspace includes all data pertaining to a user on all his disks and o...
Jens-Peter Dittrich, Lukas Blunschi, Markus Fä...