The proliferation of video content on the web makes similarity detection an indispensable tool in web data management, searching, and navigation. In this paper, we propose a numbe...
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
One hundred users, one hundred needs. As more and more topics are being discussed on the web and our vocabulary remains relatively stable, it is increasingly difficult to let the ...
Web performance measurements and availability tests have been carried out using a variety of infrastructures over the last several years. Disruptions in the Internet can lead to W...
Balachander Krishnamurthy, Harsha V. Madhyastha, O...
We present a technique for approximating the free energy of protein structures using Generalized Belief Propagation (GBP). The accuracy and utility of these estimates are then demo...
Hetunandan Kamisetty, Eric P. Xing, Christopher Ja...