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ICASSP
2008
IEEE
13 years 11 months ago
Determining the parameters in regularized super-resolution reconstruction
We derive a novel method to determine the parameters for regularized super-resolution problems. The proposed approach relies on the Joint Maximum a Posteriori (JMAP) estimation te...
Marcelo Victor Wüst Zibetti, Joceli Mayer, Fe...
AMC
2010
143views more  AMC 2010»
13 years 4 months ago
Fixed-point iterations in determining a Tikhonov regularization parameter in Kirsch's factorization method
Kirsch's factorization method is a fast inversion technique for visualizing the profile of a scatterer from measurements of the far-field pattern. The mathematical basis of t...
Koung Hee Leem, George Pelekanos, Fermín S....
ISBI
2009
IEEE
13 years 11 months ago
Accelerating Regularized Iterative CT Reconstruction on Commodity Graphics Hardware (GPU)
Iterative reconstruction algorithms augmented with regularization can produce high-quality reconstructions from few views and even in the presence of significant noise. In this pa...
Wei Xu, Klaus Mueller
CVPR
2003
IEEE
14 years 6 months ago
Bayesian Tangent Shape Model: Estimating Shape and Pose Parameters via Bayesian Inference
12 In this paper we study the problem of shape analysis and its application in locating facial feature points on frontal faces. We propose a Bayesian inference solution based on ta...
Yi Zhou, Lie Gu, HongJiang Zhang
TMI
2010
143views more  TMI 2010»
12 years 11 months ago
Data Specific Spatially Varying Regularization for Multimodal Fluorescence Molecular Tomography
Fluorescence molecular tomography (FMT) allows in vivo localization and quantification of fluorescence biodistributions in whole animals. The ill-posed nature of the tomographic re...
Damon Hyde, Eric L. Miller, Dana H. Brooks, Vasili...