- This paper presents a supervised learning based power management framework for a multi-processor system, where a power manager (PM) learns to predict the system performance state...
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
During the past few years, point-based POMDP solvers have gradually scaled up to handle medium sized domains through better selection of the set of points and efficient backup met...
Guy Shani, Pascal Poupart, Ronen I. Brafman, Solom...
We present a biologically inspired neural network model of visual orienting (using saccadic eye movements) in which targets are preferentially selected according to their reward va...
Wepresentaset-theoreticmodelofthementalrepresentationofclassicallyquantifiedsentences(AllP are Q, Some P are Q, Some P are not Q,and No P are Q). We take inclusion, exclusion, and...
Guy Politzer, Jean-Baptiste Van der Henst, Claire ...