We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L...
We introduce the concept, model, and policy-specific algorithms for inferring new access control decisions from previous ones. Our secondary and approximate authorization model (...
Representing and reasoning about time dependent information is a key research issue in many areas of computer science and artificial intelligence. One of the best known and widely...
Collaboration in modeling is essential to success, but ORM diagrams intimidate many business people, and most would never install an ORM modeling tool on their computers. The Const...
—We present an application of interactive global illumination and spatially augmented reality to architectural daylight modeling that allows designers to explore alternative desi...
Yu Sheng, Theodore C. Yapo, Christopher Young, Bar...