In this paper we present an analytical-based framework for parallel program performance prediction. The main thrust of this work is to provide a means for treating realistic appli...
Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
Erik G. Schultink, Ruggiero Cavallo, David C. Park...
Pervasive computing environments have created a requirement for spatial- and temporal-aware access control systems. Although temporal, spatial and spatio-temporal role-based acces...
As Wikipedia grows, so do the messy byproducts of collaboration. Backlogs of administrative work are increasing, suggesting the need for more users with privileged admin status. T...
In this paper, we propose a novel learning-based face hallucination framework built in DCT domain, which can recover the high-resolution face image from a single lowresolution one...