- We present a low dimensional Bayes probabilistic model for the population of binocular disparity energy neurons centered at the same retinal location, but selective to different ...
We propose power-aware on-line task scheduling algorithms for mixed task sets which consist of both periodic and aperiodic tasks. The proposed algorithms utilize the execution beha...
Today’s web applications are pushing the limits of modern web browsers. The emergence of the browser as the platform of choice for rich client-side applications has shifted the ...
Mason Chang, Edwin W. Smith, Rick Reitmaier, Micha...
In this paper, we evaluate mass knowledge acquisition using modified ALICE chatterbots. In particular we investigate the potential of allowing subjects to modify chatterbot respon...
Robert P. Schumaker, Ying Liu, Mark Ginsburg, Hsin...
In this paper, we present an extension to existing approaches that capture and exploit timing-correlation between tasks for scheduling analysis in distributed systems. Previous ap...