We demonstrate a method for collaborative ranking of future events. Previous work on recommender systems typically relies on feedback on a particular item, such as a movie, and ge...
Einat Minkov, Ben Charrow, Jonathan Ledlie, Seth J...
This paper addresses the problem of automatic detection of salient video segments for real-world applications such as corporate training based on associated speech transcriptions....
We present a browser-extending Semantic Web extraction system that maps HTML documents to tables and, where possible, to rules. First, the basic data extractor ViPER distills and ...
The design and implementation of a search engine for lecture webcasts is described. A searchable text index is created allowing users to locate material within lecture videos foun...
John Adcock, Matthew Cooper, Laurent Denoue, Hamed...
This paper is about a web-based system for collaboration and sharing of information among medical professionals. The system, originally targeted for ophthalmologists, has a generi...
Tatjana M. Burkow, Kristian Fossen, Line Lundvoll ...