This paper discusses building complex classifiers from a single labeled example and vast number of unlabeled observation sets, each derived from observation of a single process or...
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
Modern database systems provide not only powerful data models but also complex query languages supporting powerful features such as the ability to create new database objects and ...
In the Ad-Hoc InfoWare project, we develop a delay tolerant event notification service for sparse Mobile Ad-Hoc Networks for emergency and rescue operations. In most event notific...
Anna K. Lekova, Katrine Stemland Skjelsvik, Thomas...
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...