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CVPR
2000
IEEE
14 years 9 months ago
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
Song Chun Zhu, Xiuwen Liu
DATE
2010
IEEE
122views Hardware» more  DATE 2010»
13 years 7 months ago
Correlation controlled sampling for efficient variability analysis of analog circuits
The Monte Carlo (MC) simulation is a well-known solution to the statistical analysis of analog circuits in the presence of device mismatch. Despite MC's superior accuracy comp...
Javid Jaffari, Mohab Anis
ISQED
2009
IEEE
112views Hardware» more  ISQED 2009»
14 years 2 months ago
Estimation and optimization of reliability of noisy digital circuits
— With continued scaling, reliability is emerging as a critical challenge for the designers of digital circuits. The challenge stems in part from the lack of computationally efï¬...
Satish Sivaswamy, Kia Bazargan, Marc D. Riedel
ISCAS
2006
IEEE
93views Hardware» more  ISCAS 2006»
14 years 1 months ago
A one-shot projection method for interconnects with process variations
—With the development of IC technology, it becomes urgent to investigate model reduction method for interconnects with process variations. In this paper, a one-shot projection al...
Jun Tao, Xuan Zeng, Fan Yang, Yangfeng Su, Lihong ...
MP
2006
103views more  MP 2006»
13 years 7 months ago
Assessing solution quality in stochastic programs
Determining if a solution is optimal or near optimal is fundamental in optimization theory, algorithms, and computation. For instance, Karush-Kuhn-Tucker conditions provide necessa...
Güzin Bayraksan, David P. Morton