This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
When the transition probabilities and rewards of a Markov Decision Process are specified exactly, the problem can be solved without any interaction with the environment. When no s...
In complex hard real-time systems with tight constraints on system resources, small changes in one component of a system can cause a cascade of adverse effects on other parts of t...
— This paper introduces a convenient framework based on passivity and Linear Matrix Inequalities (LMIs) for stability analysis and controller design for haptic systems involving ...
—Current approaches to transactional support of distributed processes in service-oriented environments are limited to scenarios where the participant initiating the process maint...
Michael Von Riegen, Martin Husemann, Norbert Ritte...