— We present a computational model of human category learning that learns the essential structures of the categories by forgetting information that is not useful for the given ta...
In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
Abstract— Wireless sensor networks, by providing an unprecedented way of interacting with the physical environment, have become a hot topic for research over the last few years. ...
— We consider feed-forward packet switched networks with fixed routing and random congestion losses. Users of the network are assumed to be greedy in the sense that each user in...
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 ...