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ASPDAC
1999
ACM
100views Hardware» more  ASPDAC 1999»
14 years 2 months ago
Node Sampling Technique to Speed Up Probability-Based Power Estimation Methods
We propose a new technique called node sampling to speed up the probability-based power estimation methods. It samples and processes only a small portion of total nodes to estimat...
Hoon Choi, Hansoo Kim, In-Cheol Park, Seung Ho Hwa...
IJCNN
2000
IEEE
14 years 2 months ago
Improved Rotational Invariance for Statistical Inverse in Electrical Impedance Tomography
In this paper we show that rotational invariance can be improved in a neural network based EIT reconstruction approach by a suitably chosen permutation of the input data. The inpu...
Jani Lahtinen, Tomas Martinsen, Jouko Lampinen
TIP
2010
112views more  TIP 2010»
13 years 8 months ago
Variable Density Compressed Image Sampling
Compressed sensing (CS) provides an efficient way to acquire and reconstruct natural images from a reduced number of linear projection measurements at sub-Nyquist sampling rates....
Zhongmin Wang, Gonzalo R. Arce
WSC
2008
14 years 4 days ago
Reducing the variance of likelihood ratio greeks in Monte Carlo
We investigate the use of Antithetic Variables, Control Variates and Importance Sampling to reduce the statistical errors of option sensitivities calculated with the Likelihood Ra...
Luca Capriotti
WSC
2004
13 years 11 months ago
Modeling Tool Failures in Semiconductor Fab Simulation
In this research, we investigate how well Weibull, Gamma, and special bimodal distribution are suited as an alternative to the exponential distribution approach in the stochastic ...
Oliver Rose