Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
The emerging trend of larger number of cores or processors on a single chip in the server, desktop, and mobile notebook platforms necessarily demands larger amount of on-chip last...
Abstract. The signaling traffic of a cellular network is rich of information related to the movements of its devices across cell boundaries. Thus, passive monitoring of anonymized ...
Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selec...
This paper presents a pattern classification system in which feature extraction and classifier learning are simultaneously carried out not only online but also in one pass where tr...