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» McPOWER: a Monte Carlo approach to power estimation
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AAAI
2012
13 years 8 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
153
Voted
VLSID
2002
IEEE
94views VLSI» more  VLSID 2002»
16 years 6 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 10 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
16 years 7 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»
15 years 5 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