— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
The article proposes a simple, scalable and robust scheme for the distribution of revocation information in mobile ad hoc networks (MANETs). The scheme is intended for ad hoc netwo...
Real-world actions occur often in crowded, dynamic environments. This poses a difficult challenge for current approaches to video event detection because it is difficult to segm...
We study the problem of deciding whether two ontologies are inseparable w.r.t. a signature Σ, i.e., whether they have the same consequences in the signature Σ. A special case is...
In this paper, we propose three metrics to quantify the differences between the results of diffusion tensor magnetic resonance imaging (DT-MRI) fiber tracking algorithms: the area...
Fangxiang Jiao, Jeff M. Phillips, Jeroen G. Stinst...