Mobile sensing is difficult without power. Emerging Computational RFIDs (CRFIDs) provide both sensing and generalpurpose computation without batteries--instead relying on small ca...
Jeremy Gummeson, Shane S. Clark, Kevin Fu, Deepak ...
Human motion tracking is an important problem in computer vision. Most prior approaches have concentrated on efficient inference algorithms and prior motion models; however, few c...
Marek Vondrak, Leonid Sigal, Odest Chadwicke Jenki...
Several recent proposals for an “active networks” architecture advocate the placement of user-defined computation within the network as a key mechanism to enable a wide range...
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
A fast simulatedannealingalgorithmis developed for automatic object recognition. The object recognition problem is addressed as the problem of best describing a match between a hy...