A large amount of empirically derived world knowledge is essential for many languageprocessing tasks, to create expectations that can help assess plausibility and guide disambigua...
As computational learning agents move into domains that incur real costs (e.g., autonomous driving or financial investment), it will be necessary to learn good policies without n...
This paper proposes a hash function family based on feature vocabularies and investigates the application in building indexes for image search. Each hash function is associated wi...
We demonstrate MobiTree, a system we built that allows progressive streaming and rendering of 3D tree models on a mobile phone. MobiTree enables user to retrieve not only typical ...
Andra Doran, Sebastien Mondet, Romulus Grigoras, G...
A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ...