Scientific workflows are increasingly used for rapid integration of existing algorithms to form larger and more comgrams. Such workflows promise to provide more abstract, yet execu...
In this paper, we focus on statistical region-based active contour models where image features (e.g. intensity) are random variables whose distribution belongs to some parametric ...
We present a framework for recovery of nonmonotonic theories, i.e. of theories that are interpreted using a nonmonotonic semantics. Recovery of a nonmonotonic theory is needed if ...
Aggregate traffic loads and topology in multi-hop wireless networks may vary slowly, permitting MAC protocols to `learn' how to spatially coordinate and adapt contention patte...
Background: Exhaustive methods of sequence alignment are accurate but slow, whereas heuristic approaches run quickly, but their complexity makes them more difficult to implement. ...