In this paper we present Lbs, a load-management-system for network based concurrent computing. The system is built on Pt-Pvm, a library based on the PVM system. Pt-Pvm provides mes...
In this paper, an unsupervised learning algorithm, neighborhood linear embedding (NLE), is proposed to discover the intrinsic structures such as neighborhood relationships, global ...
Shuzhi Sam Ge, Feng Guan, Yaozhang Pan, Ai Poh Loh
Protection of privacy has become an important problem in data mining. In particular, individuals have become increasingly unwilling to share their data, frequently resulting in in...
Although shared memory programming models show good programmability compared to message passing programming models, their implementation by page-based software distributed shared m...
In this work we consider the problem of monitoring information streams for anomalies in a scalable and efficient manner. We study the problem in the context of network streams wher...