In this paper, we propose fast and efficient techniques to analyze the power grid with accurate modeling of the transistor network. The solution techniques currently available for...
Anand Ramalingam, Giri Devarayanadurg, David Z. Pa...
A local graph partitioning algorithm finds a cut near a specified starting vertex, with a running time that depends largely on the size of the small side of the cut, rather than...
We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...
In this paper we describe a statistical method for the integration of an unlimited number of cues within a deformable model framework. We treat each cue as a random variable, each...
Siome Goldenstein, Christian Vogler, Dimitris N. M...
One of the essential features in modern computer systems is context switching, which allows multiple threads of execution to time-share a limited number of processors. While very ...
Fang Liu, Fei Guo, Yan Solihin, Seongbeom Kim, Abd...