In recent years, nonlinear dimensionality reduction (NLDR) techniques have attracted much attention in visual perception and many other areas of science. We propose an efficient al...
In this paper, we introduce the use of nonlinear dimension reduction for the analysis of functional neuroimaging datasets. Using a Laplacian Embedding approach, we show the power ...
A negative effect of ever-shrinking supply and threshold voltages is the larger percentage of total power consumption that comes from leakage current. Several techniques have been...
Power is considered to be the major limiter to the design of more faster and complex processors in the near future. In order to address this challenge, a combination of process, c...
David Duarte, Narayanan Vijaykrishnan, Mary Jane I...
— In this paper, we propose a timing model reduction algorithm for hierarchical timing analysis based on a bicliquestar replacement technique. In hierarchical timing analysis, ea...
Shuo Zhou, Yi Zhu, Yuanfang Hu, Ronald L. Graham, ...