In this paper, we tackle the problem of understanding the temporal structure of complex events in highly varying videos obtained from the Internet. Towards this goal, we utilize a...
This paper presents a novel sequence labeling model based on the latent-variable semiMarkov conditional random fields for jointly extracting argument roles of events from texts. ...
Analyzing and monitoring logs that portray system, user, and network activity is essential to meet the requirements of high security and optimal resource availability. While most ...
Gene duplication has long been recognized as a major force in genome evolution and has recently been recognized as an important source of individual variation. For many years the o...
Jin Jun, Paul Ryvkin, Edward Hemphill, Ion I. Mand...
With the proliferation of multimedia data and evergrowing requests for multimedia applications, new challenges are emerged for efficient and effective managing and accessing large...