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» Stratified random sampling for power estimation
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ICASSP
2011
IEEE
12 years 9 months ago
Langevin and hessian with fisher approximation stochastic sampling for parameter estimation of structured covariance
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
Cornelia Vacar, Jean-François Giovannelli, ...
JMLR
2010
145views more  JMLR 2010»
13 years 16 days ago
Parallelizable Sampling of Markov Random Fields
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
James Martens, Ilya Sutskever
TIT
2011
113views more  TIT 2011»
13 years 21 days ago
Eigen-Inference for Energy Estimation of Multiple Sources
—This paper introduces a new method to blindly estimate the transmit power of multiple signal sources in multiantenna fading channels, when the number of sensing devices and the ...
Romain Couillet, Jack W. Silverstein, Zhidong Bai,...
HOST
2008
IEEE
14 years 6 days ago
Slicing Up a Perfect Hardware Masking Scheme
—Masking is a side-channel countermeasure that randomizes side-channel leakage, such as the power dissipation of a circuit. Masking is only effective on the condition that the in...
Zhimin Chen, Patrick Schaumont
DATE
2009
IEEE
125views Hardware» more  DATE 2009»
14 years 15 days 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