The ability to accurately judge the similarity between natural language sentences is critical to the performance of several applications such as text mining, question answering, an...
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
—Pedestrian detection is a key problem in computer vision, with several applications that have the potential to positively impact quality of life. In recent years, the number of ...
In this paper, we propose to use database technology to improve performance of web proxy servers. We view the cache at a proxy server as a web warehouse with data organized in a h...
The performance of a concurrent multithreaded architectural model, called superthreading 15 , is studied in this paper. It tries to integrate optimizing compilation techniques and...
Jenn-Yuan Tsai, Zhenzhen Jiang, Eric Ness, Pen-Chu...