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» Simulation Input Updating Using Bayesian Techniques
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DAC
1996
ACM
14 years 17 days ago
Improving the Efficiency of Power Simulators by Input Vector Compaction
Accurate power estimation is essential for low power digital CMOS circuit design. Power dissipation is input pattern dependent. To obtain an accurate power estimate, a large input...
Chi-Ying Tsui, Radu Marculescu, Diana Marculescu, ...
ISBI
2004
IEEE
14 years 9 months ago
Simultaneous Estimation of Kinetic Parameters and the Input Function from DCE-MRI Data: Theory and Simulation
DCE-MRI is a noninvasive functional imaging technique capable of assessing tumor microvasculature clinically. Major limitations associated with conventional region-of-interest (RO...
Zhu Han, Z. Jane Wang, K. J. Ray Liu, Yue Wang
DASFAA
2011
IEEE
270views Database» more  DASFAA 2011»
13 years 5 days ago
AutoBayesian: Developing Bayesian Networks Based on Text Mining
Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically...
Sandeep Raghuram, Yuni Xia, Jiaqi Ge, Mathew Palak...
WSC
1997
13 years 9 months ago
Modeling Dependencies in Stochastic Simulation Inputs
We discuss some basic techniques for modeling dependence between the random variables that are inputs to a simulation model, with the main emphasis being continuous bivariate dist...
James R. Wilson
ICIP
2000
IEEE
14 years 10 months ago
A Wavelet-Based Image Denoising Technique Using Spatial Priors
We propose a new wavelet-based method for im age denoising that applies the Bayesian framework, using prior knowledge about the spatial clustering of the wavelet coefficients. Loc...
Aleksandra Pizurica, Wilfried Philips, Ignace Lema...