Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
In constrained clustering it is common to model the pairwise constraints as edges on the graph of observations. Using results from graph theory, we analyze such constraint graphs ...
: Software lifecycle models differ in their artifacts as well as in the dependencies between the included tasks and activities. Therefore support-tools, which support these lifecyc...
Sound localization by barn owls is commonly modeled as a matching procedure where localization cues derived from auditory inputs are compared to stored templates. While the matchi...
Since years the market of mobile navigation systems is growing enormously. Within this paper the goals and first results of the joint project "Mobile Navigation with 3D City ...