Sparse principal component analysis (PCA) imposes extra constraints or penalty terms to the standard PCA to achieve sparsity. In this paper, we first introduce an efficient algor...
—This paper describes algorithms for implementing a high-level programming model for synchronous distributed groupware applications. In this model, several application data objec...
Robert E. Strom, Guruduth Banavar, Kevan Miller, A...
Long-range dependence characteristics have been observed in many natural or physical phenomena. In particular, a significant impact on data network performance has been shown in se...
We study auction-like algorithms for the distributed allocation of tasks to cooperating agents. To reduce the team cost of sequential single-item auction algorithms, we generalize...
Sven Koenig, Craig A. Tovey, Xiaoming Zheng, Ilgaz...
—Determining how to transport delay-sensitive voice data has long been a problem in multimedia networking. The difficulty arises because voice and best-effort data are different...