Network traffic modeling generally views traffic as a superposition of flows that creates a timeseries of volume counts (e.g. of bytes or packets). What is omitted from this view ...
In this paper, we present a novel approach for automatically learning a compact and yet discriminative appearance-based human action model. A video sequence is represented by a ba...
Estimating geographic information from an image is an excellent, difficult high-level computer vision problem whose time has come. The emergence of vast amounts of geographically-...
Collaborative sensemaking occurs when multiple actors engage in understanding an unfamiliar, information-rich environment. We present preliminary results from a field study of the...
Sharoda A. Paul, Madhu C. Reddy, Christopher DeFli...
Text documents often embed data that is structured in nature. This structured data is increasingly exposed using information extraction systems, which generate structured relation...