— In this paper we address the reliability of policies derived by Reinforcement Learning on a limited amount of observations. This can be done in a principled manner by taking in...
In pattern recognition, statistical modeling, or regression, the amount of data is a critical factor affecting the performance. If the amount of data and computational resources ar...
Patrice Simard, Yann LeCun, John S. Denker, Bernar...
Abstract: In this paper we introduce a novel method for automatic propagation of foreground objects in image sequences. Our method is based on a combination of the mean-shift opera...
Mario Sormann, Christopher Zach, Joachim Bauer, Ko...
Tracking linear features through tensor field datasets is an open research problem with widespread utility in medical and engineering disciplines. Existing tracking methods, which...
David M. Weinstein, Gordon L. Kindlmann, Eric C. L...
We present the design and the implementation of clp(B): a boolean constraint solver inside the Constraint Logic Programming paradigm. This solver is based on local propagation meth...