We present a novel technique for automated problem decomposition to address the problem of scalability in reinforcement learning. Our technique makes use of a set of near-optimal ...
Peng Zang, Peng Zhou, David Minnen, Charles Lee Is...
We propose a variant of Orthogonal Matching Pursuit (OMP), called LoCOMP, for scalable sparse signal approximation. The algorithm is designed for shift-invariant signal dictionari...
This work presents an approach for the recognition of the roles played by speakers participating in radio broadcast news (e.g. anchorman or guest). The approach includes two main ...
This paper describes our first experiments in developing kinetic electronic garments, within the context of fashion and personal expression. We have integrated the shape memory al...
Abstract: We report on our experiences with the implementation of a parallel algorithm to compute the cycle structure of a permutation given as an oracle. As a sub-problem, the cyc...