We consider the speed scaling problem of minimizing the average response time of a collection of dynamically released jobs subject to a constraint A on energy used. We propose an ...
Kirk Pruhs, Patchrawat Uthaisombut, Gerhard J. Woe...
Hebbian learning has been a staple of neural-network models for many years. It is well known that the most straight-forward implementations of this popular learning rule lead to u...
We demonstrate a system for capturing multi-thousand frame-per-second (fps) video using a dense array of cheap 30fps CMOS image sensors. A benefit of using a camera array to captu...
Bennett Wilburn, Neel Joshi, Vaibhav Vaish, Marc L...
We present a joint model for Chinese word segmentation and new word detection. We present high dimensional new features, including word-based features and enriched edge (label-tra...
This paper models an ad-hoc network as a continuum of nodes, ignoring edge effects, to find how the traffic scales with N, the number of nodes. We obtain expressions for the traffi...