We propose a multiple classifier system approach to object recognition in computer vision. The aim of the approach is to use multiple experts successively to prune the list of cand...
Learning Objects are atomic packages of learning content with associated activities that can be reused in different contexts. However traditional Learning Objects can be complex an...
David E. Millard, Yvonne Margaret Howard, Patrick ...
We consider the problem of Object Safety: how objects endowed with processing, communication, and sensing capabilities can determine their safety. We assign an agent to each objec...
We propose a closely coupled object detection and segmentation algorithm for enhancing both processes in a cooperative and iterative manner. Figure-ground segmentation reduces the...
In order to fully realize the potential of sensor networks, energy awareness should be incorporated into every stage of the network design and operation. In this paper, we address...