Although Locality-Sensitive Hashing (LSH) is a promising approach to similarity search in high-dimensional spaces, it has not been considered practical partly because its search q...
Wei Dong, Zhe Wang, William Josephson, Moses Chari...
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
This paper describes Studierstube, an augmented reality system developed over the past four years at Vienna University of Technology, Austria, in extensive collaboration with Frau...
Dieter Schmalstieg, Anton L. Fuhrmann, Gerd Hesina...
The mobile Internet is a massive opportunity for mobile operators and content providers, but despite significant improvements in handsets, infrastructure, content, and charging m...
We present an algorithm that quickly finds optimal plans for unforeseen agent preferences within graph-based planning domains where actions have deterministic outcomes and action ...