Many large scale systems, like grids and structured peer to peer systems, operate on a constrained topology. Since underlying networks do not expose the real topology to the appli...
:In this paper, a novel supervised dimensionality reduction method is developed based on both the correlation analysis and the idea of large margin learning. The method aims to m...
We propose a new optimization algorithm called Generalized Baum Welch (GBW) algorithm for discriminative training on hidden Markov model (HMM). GBW is based on Lagrange relaxation...
This paper introduces a multicast based architecture for supporting large scale Collaborative Virtual Environments (CVEs). The paper begins by defining CVEs, discussing the motivat...
In a large-scale backbone networks, the traffic monitoring system needs to receive a large volume of flow records, so if a single central collecting process is used, it might not b...