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TMI
2010
175views more  TMI 2010»
13 years 2 months ago
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
Thomas Vincent, Laurent Risser, Philippe Ciuciu
ICCAD
2008
IEEE
125views Hardware» more  ICCAD 2008»
14 years 4 months ago
Practical, fast Monte Carlo statistical static timing analysis: why and how
Statistical static timing analysis (SSTA) has emerged as an essential tool for nanoscale designs. Monte Carlo methods are universally employed to validate the accuracy of the appr...
Amith Singhee, Sonia Singhal, Rob A. Rutenbar
ASPDAC
2009
ACM
212views Hardware» more  ASPDAC 2009»
14 years 1 months ago
Timing analysis and optimization implications of bimodal CD distribution in double patterning lithography
Abstract— Double patterning lithography (DPL) is in current production for memory products, and is widely viewed as inevitable for logic products at the 32nm node. DPL decomposes...
Kwangok Jeong, Andrew B. Kahng
ISBI
2004
IEEE
14 years 8 months ago
Statistical Surface-Based Morphometry Using a Non-Parametric Approach
We present a novel method of statistical surface-based morphometry based on the use of non-parametric permutation tests. In order to evaluate morphologicaldifferences of brain str...
Dimitrios Pantazis, Richard M. Leahy, Thomas E. Ni...
DAC
2006
ACM
14 years 8 months ago
Stochastic variational analysis of large power grids considering intra-die correlations
For statistical timing and power analysis that are very important problems in the sub-100nm technologies, stochastic analysis of power grids that characterizes the voltage fluctua...
Praveen Ghanta, Sarma B. K. Vrudhula, Sarvesh Bhar...