This paper describes a scalable, low-complexity alternative to the conventional load/store queue (LSQ) for superscalar processors that execute load and store instructions speculat...
In this paper, we propose a machine learning approach to title extraction from general documents. By general documents, we mean documents that can belong to any one of a number of...
Yunhua Hu, Hang Li, Yunbo Cao, Dmitriy Meyerzon, Q...
We investigate methods of segmenting, visualizing, and indexing presentation videos by both audio and visual data. The audio track is segmented by speaker, and augmented with key ...
People often seek information by asking other people even when they have access to vast reservoirs of information such as the Internet and libraries. This is because people are gr...
We study the ‘background traffic’ resulting from tens of thousands of networked first person shooter (FPS) clients searching for servers on which to play. Networked, multiplay...
Sebastian Zander, David Kennedy, Grenville J. Armi...