Multidimensional data models are playing an increasingly prominent role in support of day-to-day business decisions. Due to their significance in taking strategic decisions it is ...
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...
In this paper we develop an intergraded model for request mechanism and data transmission in the uplink phase in the presence of channel noise. This model supports quality of serv...
This paper describes a no-reference temporal quality metric to model the impact of frame freezing impairments on perceived video quality. The proposed metric shows a high correlat...
To accommodate the exponential growth of Web traffic, Content Distribution Networks (CDN) have been designed and deployed to distribute content to different cache servers, and to ...
Lin Cai, Jun Ye, Jianping Pan, Xuemin Shen, Jon W....