The paper presents distributed and parallel -approximation algorithms for covering problems, where is the maximum number of variables on which any constraint depends (for example...
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Abstract— In this paper, we present a framework for multiterminal video compression (MTVC) that exploits the geometric constraints between cameras with overlapping fields of vie...
The web graph follows the power law distribution and has a hierarchy structure. But neither the PageRank algorithm nor any of its improvements leverage these attributes. In this p...
Yizhou Lu, Benyu Zhang, Wensi Xi, Zheng Chen, Yi L...
We present a distributed algorithm that finds a maximal edge packing in O(∆ + log∗ W) synchronous communication rounds in a weighted graph, independent of the number of nodes...