We analyze the properties of Small-World networks, where links are much more likely to connect “neighbor nodes” than distant nodes. In particular, our analysis provides new re...
Object class detection in scenes of realistic complexity remains a challenging task in computer vision. Most recent approaches focus on a single and general model for object class...
Model learning and tracking are two important topics in computer vision. While there are many applications where one of them is used to support the other, there are currently only...
In this chapter we present recent contributions in the field of sequential job scheduling on network machines which work in parallel; these are subject to temporary unavailability...
Florian Diedrich, Klaus Jansen, Ulrich M. Schwarz,...
Generation of n -detection test sets is typically done for a single fault model. In this work we investigate the generation of n -detection test sets by pairing each fault of a ta...