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» Optimizing Parametric Total Variation Models
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DAC
2003
ACM
14 years 10 months ago
A cost-driven lithographic correction methodology based on off-the-shelf sizing tools
As minimum feature sizes continue to shrink, patterned features have become significantly smaller than the wavelength of light used in optical lithography. As a result, the requir...
Puneet Gupta, Andrew B. Kahng, Dennis Sylvester, J...
JMIV
2007
136views more  JMIV 2007»
13 years 9 months ago
Image Compression Through a Projection onto a Polyhedral Set
In image denoising, many researchers have tried for several years to combine wavelet-like approaches and optimization methods (typically based on the total variation minimization)...
François Malgouyres
ISQED
2005
IEEE
125views Hardware» more  ISQED 2005»
14 years 3 months ago
A New Method for Design of Robust Digital Circuits
As technology continues to scale beyond 100nm, there is a significant increase in performance uncertainty of CMOS logic due to process and environmental variations. Traditional c...
Dinesh Patil, Sunghee Yun, Seung-Jean Kim, Alvin C...
BMCBI
2008
153views more  BMCBI 2008»
13 years 10 months ago
AWclust: point-and-click software for non-parametric population structure analysis
Background: Population structure analysis is important to genetic association studies and evolutionary investigations. Parametric approaches, e.g. STRUCTURE and L-POP, usually ass...
Xiaoyi Gao, Joshua D. Starmer
MICCAI
2003
Springer
14 years 10 months ago
The Euler-Lagrange Equation for Interpolating Sequence of Landmark Datasets
Abstract. Non-rigid registration of landmarked datasets is an important problem that finds many applications in medical image analysis. In this paper, we present a method for inter...
Alain Trouvé, Laurent Younes, Michael I. Mi...