Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyv...
People identification is an essential task for video content analysis in a surveillance system. A good classifier, however, requires a large amount of training data, which may not...
Labeling faces in news video with their names is an interesting research problem which was previously solved using supervised methods that demand significant user efforts on lab...
OneSwarm is a system for anonymous p2p file sharing in use by thousands of peers. It aims to provide Onion Routing-like privacy and BitTorrent-like performance. We demonstrate se...
Swagatika Prusty, Brian Neil Levine, Marc Liberato...
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...