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ICCAD
2006
IEEE
141views Hardware» more  ICCAD 2006»
14 years 7 months ago
An accurate sparse matrix based framework for statistical static timing analysis
Statistical Static Timing Analysis has received wide attention recently and emerged as a viable technique for manufacturability analysis. To be useful, however, it is important th...
Anand Ramalingam, Gi-Joon Nam, Ashish Kumar Singh,...
ICASSP
2011
IEEE
13 years 2 months ago
Denoising of image patches via sparse representations with learned statistical dependencies
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
Tomer Faktor, Yonina C. Eldar, Michael Elad
ICCAD
2004
IEEE
145views Hardware» more  ICCAD 2004»
14 years 7 months ago
Asymptotic probability extraction for non-normal distributions of circuit performance
While process variations are becoming more significant with each new IC technology generation, they are often modeled via linear regression models so that the resulting performanc...
Xin Li, Jiayong Le, Padmini Gopalakrishnan, Lawren...
TCAD
2010
164views more  TCAD 2010»
13 years 5 months ago
Advanced Variance Reduction and Sampling Techniques for Efficient Statistical Timing Analysis
The Monte-Carlo (MC) technique is a traditional solution for a reliable statistical analysis, and in contrast to probabilistic methods, it can account for any complicate model. How...
Javid Jaffari, Mohab Anis
3DPVT
2004
IEEE
316views Visualization» more  3DPVT 2004»
14 years 2 months ago
A Statistical Method for Robust 3D Surface Reconstruction from Sparse Data
Abstract-General information about a class of objects, such as human faces or teeth, can help to solve the otherwise ill-posed problem of reconstructing a complete surface from spa...
Volker Blanz, Albert Mehl, Thomas Vetter, Hans-Pet...