To exploit the similarity information hidden in the hyperlink structure of the web, this paper introduces algorithms scalable to graphs with billions of vertices on a distributed ...
Reducing interference is one of the main challenges in wireless communication, and particularly in ad hoc networks. The amount of interference experienced by a node v corresponds ...
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
The area under an ROC curve (AUC) is a criterion used in many applications to measure the quality of a classification algorithm. However, the objective function optimized in most...
Rogue Access Points (RAPs) pose serious security threats to local networks. An analytic model of prior probability distribution of Segmental TCP Jitter (STJ) is deduced from the m...