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ICASSP
2009
IEEE
15 years 4 months ago
Shrinkage estimation of high dimensional covariance matrices
We address covariance estimation under mean-squared loss in the Gaussian setting. Specifically, we consider shrinkage methods which are suitable for high dimensional problems wit...
Yilun Chen, Ami Wiesel, Alfred O. Hero
87
Voted
DATE
2009
IEEE
125views Hardware» more  DATE 2009»
15 years 4 months ago
On linewidth-based yield analysis for nanometer lithography
— Lithographic variability and its impact on printability is a major concern in today’s semiconductor manufacturing process. To address sub-wavelength printability, a number of...
Aswin Sreedhar, Sandip Kundu
DATE
2007
IEEE
104views Hardware» more  DATE 2007»
15 years 3 months ago
Dynamic reconfiguration in sensor networks with regenerative energy sources
In highly power constrained sensor networks, harvesting energy from the environment makes prolonged or even perpetual execution feasible. In such energy harvesting systems, energy...
Ani Nahapetian, Paolo Lombardo, Andrea Acquaviva, ...
DAC
2005
ACM
15 years 10 months ago
Advanced Timing Analysis Based on Post-OPC Extraction of Critical Dimensions
While performance specifications are verified before sign-off for a modern nanometer scale design, extensive application of optical proximity correction substantially alters the l...
Puneet Gupta, Andrew B. Kahng, Youngmin Kim, Denni...
GECCO
2010
Springer
207views Optimization» more  GECCO 2010»
15 years 2 months ago
Generalized crowding for genetic algorithms
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
Severino F. Galán, Ole J. Mengshoel