We propose and investigate a paradigm for activity recognition, distinguishing the ‘on-going activity’ recognition task (OGA) from that addressing ‘complete activities’ (C...
Bruno Lepri, Nadia Mana, Alessandro Cappelletti, F...
Abstract. We propose a novel probabilistic method, based on latent variable models, for unsupervised topographic visualisation of dynamically evolving, coherent textual information...
Data streaming systems are becoming essential for monitoring applications such as financial analysis and network intrusion detection. These systems often have to process many simi...
Sailesh Krishnamurthy, Chung Wu, Michael J. Frankl...
Abstract--We address the problem of detecting characteristic patterns in communication networks. We introduce a scalable approach based on set-system discrepancy. By implicitly lab...
Background: Tiling microarrays are becoming an essential technology in the functional genomics toolbox. They have been applied to the tasks of novel transcript identification, elu...
Thomas E. Royce, Nicholas Carriero, Mark B. Gerste...