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» McPOWER: a Monte Carlo approach to power estimation
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AAAI
2012
12 years 12 months ago
A Search Algorithm for Latent Variable Models with Unbounded Domains
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
Michael Chiang, David Poole
VLSID
2002
IEEE
94views VLSI» more  VLSID 2002»
15 years 10 months ago
Timing Yield Calculation Using an Impulse-Train Approach
This paper presents a new method to compute the probability distribution of the delay of a combinational circuit and uses it obtain an estimate of the yield of the process that ma...
Srinath R. Naidu
ISLPED
1996
ACM
89views Hardware» more  ISLPED 1996»
15 years 1 months ago
A novel methodology for transistor-level power estimation
Transistlw-level power simulators, which are more accurate than logic-level power estimators, have been popularly used to estimate the power dissipation of CMOS circuits. In thisp...
Shi-Yu Huang, Kwang-Ting Cheng, Kuang-Chien Chen, ...
ICPR
2004
IEEE
15 years 10 months ago
Tracking Periodic Motion using Bayesian Estimation
This paper presents a Bayesian approach to achieve efficient and accurate motion tracking in monocular image sequences. We first extract a deterministic motion model with six degr...
Andrew M. Wallace, Huiyu Zhou, Patrick R. Green
EOR
2002
71views more  EOR 2002»
14 years 9 months ago
Non-parametric tests of returns to scale
This paper discusses various statistics for testing hypotheses regarding returns to scale in the context of non-parametric models of technical efficiency. In addition, the paper p...
Léopold Simar, Paul W. Wilson