Contextual information is vital for the robust extraction of semantic information in automated surveillance systems. We have developed a scene independent framework for the detect...
Remotely sensed images from satellite sensors such as MODIS Aqua and Terra provide high temporal resolution and wide area coverage. Unfortunately, these images frequently include ...
The dramatic growth in the number and size of on-line information sources has fueled increasing research interest in the incremental subspace learning problem. In this paper, we pr...
This paper proposes a traffic anomaly detector, operated in postmortem and in real-time, by passively monitoring packet headers of traffic. The frequent attacks on network infrastr...
In this paper we will present a set of experiments using large digitalized collections of books to show that logical structures can be extracted with good quality when working at ...