In this paper we show how game theory and Gibbs sampling techniques can be used to design a self-optimizing algorithm for minimizing end-to-end delays for all flows in a multi-clas...
This paper proposes the β-WoLF algorithm for multiagent reinforcement learning (MARL) in the stochastic games framework that uses an additional “advice” signal to inform agen...
This paper explores the issues involved in using symbolic metric algorithms for automatic speech recognition (ASR), via a structural representation of speech. This representation ...
The paper proposes a novel algorithm to enhance the quality of H.264/AVC compressed video sequences by using an inloop spatio-temporal motion compensated lter (MCSTF). Extra infor...
Abstract. In this paper, we present a novel approach for the segmentation of white matter tracts based on Finsler active contours. This technique provides an optimal measure of con...
John Melonakos, Vandana Mohan, Marc Niethammer, Ka...