Self-healing gradients are distributed estimates of the distance from each device in a network to the nearest device designated as a source, and are used in many pervasive computi...
Abstract— Recently, a delay-insensitive architecture for gradient descent adaptive control, based on parallel synchronous detection for model-free gradient estimation was present...
Dimitrios N. Loizos, Paul-Peter Sotiriadis, Gert C...
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...
We introduce an algorithm that simultaneously estimates a classification function as well as its gradient in the supervised learning framework. The motivation for the algorithm is...
In this paper, we propose a method for estimating the
optical center of a camera given only a single image with
vignetting. This is accomplished by identifying the center
of the...
Yuanjie Zheng (University Of Delaware), Chandra Ka...