Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Semantic Web, the next generation of Web, gives data well-defined and machine-understandable meaning so that they can be processed by remote intelligent agents cooperatively. Onto...
Jin Song Dong, Chew Hung Lee, Yuan-Fang Li, Hai H....
We present two novel methods to automatically learn spatio-temporal dependencies of moving agents in complex dynamic scenes. They allow to discover temporal rules, such as the rig...
Daniel Kuettel, Michael Breitenstein, Luc Van Gool...
This paper presents the adaptation model used in NUCLEO, a pilot e-learning environment that is currently being developed at the Complutense University of Madrid. The NUCLEO syste...
The software design is one of the most challenging tasks during the design of a mechatronic system. On one hand, it has to provide solutions to deal with concurrency and timelines...
Jinfeng Huang, Jeroen Voeten, Marcel A. Groothuis,...