—The occurrence of a traffic anomaly is always responsible for a degradation of performance. The anomaly can be observable, at some scale, in different ways: an increase in the n...
Silvia Farraposo, Philippe Owezarski, Edmundo Mont...
We propose a semi-supervised learning algorithm for discriminant analysis, which uses the geometric structure of both labeled and unlabeled samples and perform a manifold regulari...
Independent component analysis (ICA) is a statistical and computational technique for revealing hidden factors that underlie sets of signals. We propose an improved ICA framework ...
Jing Sui, Jingyu Liu, Lei Wu, Andrew Michael, Lai ...
nalysis of a TA modeled component. First, we abstract fine models to work with event streams at coarse granularity. We perform analysis of the component at multiple coarse granular...
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...