We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...
In the world of OTIS, an online Internet School for occupational therapists, students from four European countries were encouraged to work collaboratively through problem based le...
Hazard situations in safety-critical systems are typically complex, so there is a need for means to detect complex hazards and react in a timely and meaningful way. This paper add...
Beth A. Schroeder, Karsten Schwan, Sudhir Aggarwal
We propose a novel system for associating multi-target tracks across multiple non-overlapping cameras by an on-line learned discriminative appearance affinity model. Collecting rel...
Anticipatory algorithms for online stochastic optimization have been shown very effective in a variety of areas, including logistics, reservation systems, and scheduling. For such ...