In order to optimize their revenues and profits, an increasing number of businesses organize their business activities in terms of business processes. Typically, they automate imp...
Marko Vrhovnik, Holger Schwarz, Oliver Suhre, Bern...
Data-driven P2P streaming systems can potentially provide good playback rate to a large number of viewers. One important design problem in such P2P systems is to determine the opt...
In this work, we propose novel results for the optimization of divergences within the framework of region-based active contours. We focus on parametric statistical models where th...
A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...
We develop a multi-class object detection framework whose core component is a nearest neighbor search over object part classes. The performance of the overall system is critically...