We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...
Object-space silhouette extraction is an important problem in fields ranging from non-photorealistic computer graphics to medical robotics. We present an efficient silhouette extr...
Yuri Gurevich and Itay Neeman proposed the Distributed Knowledge Authorization Language, DKAL, as an expressive, yet very succinctly expressible logic for distributed authorization...
Data mining is the process of extracting implicit, previously unknown, and potentially useful information from data in databases. It is widely recognized as a useful tool for deci...
James P. Buckley, Jennifer Seitzer, Yongzhi Zhang,...
Memory delays represent a major bottleneck in embedded systems performance. Newer memory modules exhibiting efficient access modes (e.g., page-, burst-mode) partly alleviate this ...