The engineering of computer vision systems that meet application speci c computational and accuracy requirements is crucial to the deployment of real-life computer vision systems....
Michael Greiffenhagen, Visvanathan Ramesh, Dorin C...
This paper presents a new method for rendering views, especially those of large-scale scenes, such as broad city landscapes. The main contribution of our method is that we are abl...
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
As the last-level on-chip caches in chip-multiprocessors increase in size, the physical locality of on-chip data becomes important for delivering high performance. The non-uniform...
Dynamic voltage and frequency scaling (DVFS) is a widely-used method for energy-efficient computing. In this paper, we present a new intra-task online DVFS scheme for multiple clo...
Qiang Wu, Philo Juang, Margaret Martonosi, Douglas...