This paper describes a parallel implementation of our recently developed algorithm for phylogenetic analysis on the IBM BlueGene/L cluster [15]. This algorithm constructs evolutio...
Bing Bing Zhou, Daniel Chu, Monther Tarawneh, Ping...
— Development in new radio technologies and increase in user demands are driving the deployment of a wide array of wireless networks, ranging from 802.11 networks in the local ar...
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
In this paper we develop an efficient implementation for a k-means clustering algorithm. The novel feature of our algorithm is that it uses coresets to speed up the algorithm. A ...
In this paper, we model multi-agent events in terms of a temporally varying sequence of sub-events, and propose a novel approach for learning, detecting and representing events in...