Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
This paper investigates how behavioral cloning can be used to decrease training time for students learning to y on simulators. The challenges presented to each student must be tai...
Charles W. Anderson, Bruce A. Draper, David A. Pet...
This work introduces two complementary techniques to improve the packet loss resilience of scalable video coding systems. First, a “switch per-pixel” error concealment (SPEC) ...
This paper describes an infrastructure that enables transparent development of image processing software for parallel computers. The infrastructure’s main component is an image ...