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SIBGRAPI
2008
IEEE
15 years 10 months ago
Bayesian Estimation of Hyperparameters in MRI through the Maximum Evidence Method
Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...
Damian E. Oliva, Roberto A. Isoardi, Germán...
WSC
2007
15 years 6 months ago
Sensitivity estimates from characteristic functions
We investigate the application of the likelihood ratio method (LRM) for sensitivity estimation when the relevant density for the underlying model is known only through its charact...
Paul Glasserman, Zongjian Liu
BC
2004
91views more  BC 2004»
15 years 3 months ago
Simulation and parameter estimation of dynamics of synaptic depression
Abstract. Synaptic release was simulated using a Simulink sequential storage model with three vesicular pools. Modeling was modular and easily extendable to the systems with greate...
F. Aristizabal, M. I. Glavinovic
ACL
2004
15 years 5 months ago
Statistical Machine Translation with Word- and Sentence-Aligned Parallel Corpora
The parameters of statistical translation models are typically estimated from sentence-aligned parallel corpora. We show that significant improvements in the alignment and transla...
Chris Callison-Burch, David Talbot, Miles Osborne
ICIAR
2010
Springer
15 years 8 months ago
Segmentation Based Noise Variance Estimation from Background MRI Data
Accurate and precise estimation of the noise variance is often of key importance as an input parameter for posterior image processing tasks. In MR images, background data is well s...
Jeny Rajan, Dirk Poot, Jaber Juntu, Jan Sijbers