In this paper, we present a novel on-line probabilistic generative model that simultaneously deals with both the clustering and the tracking of an unknown number of moving objects...
This paper addresses the problem of fully automated
mining of public space video data. A novel Markov Clustering
Topic Model (MCTM) is introduced which builds on
existing Dynami...
Clustering supportwith a single-systemimagefor large-scaleWeb serversis important to improve the systemscalability in processing alargenumberof concurrentrequestsfrom Internet,esp...
In this paper we present a prototype enterprise information run-time heavily inspired by the fundamental principles of autonomic computing. Through self-configuration, selfoptimi...
—Large-scale online applications such as Massively Multiplayer Online Games (MMOGs) require large amount of computing resources that support many players interacting simultaneous...