Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...
More and more important data is accumulated inside social networks. Limiting the flow of private information across a social network is very important, and most social networks pr...
Abstract--Fault localization in enterprise networks is extremely challenging. A recent approach called Sherlock makes some headway into this problem by using an inference algorithm...
The ability to generate discrete movement with distinct and stable time courses is important for interaction scenarios both between different robots and with human partners, for ca...
Matthias Tuma, Ioannis Iossifidis, Gregor Schö...
Active content in multimedia documents helps the reader to grasp the implications of nonlinear and complex systems that are difficult to understand in a text-based description. T...