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SIGIR
2006
ACM
14 years 1 months ago
Regularized estimation of mixture models for robust pseudo-relevance feedback
Pseudo-relevance feedback has proven to be an effective strategy for improving retrieval accuracy in all retrieval models. However the performance of existing pseudo feedback meth...
Tao Tao, ChengXiang Zhai
MICCAI
2010
Springer
13 years 5 months ago
Cardiac Motion Estimation Using a ProActive Deformable Model: Evaluation and Sensitivity Analysis
To regularize cardiac motion recovery from medical images, electromechanical models are increasingly popular for providing a priori physiological motion information. Although these...
Ken C. L. Wong, Florence Billet, Tommaso Mansi, Ra...
JUCS
2011
174views more  JUCS 2011»
13 years 2 months ago
Color Image Restoration Using Neural Network Model
Abstract: Neural network learning approach for color image restoration has been discussed in this paper and one of the possible solutions for restoring images has been presented. H...
Satyadhyan Chickerur, Aswatha Kumar M.
TMI
2010
143views more  TMI 2010»
13 years 2 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...
ICIP
2003
IEEE
14 years 9 months ago
A Bayesian approach to inclusion and performance analysis of using extra information in bioelectric inverse problems
Due to attenuation and spatial smoothing that occurs in the conducting media, the bioelectric inverse problem of estimating sources from remote measurements is ill-posed and solut...
Yesim Serinagaoglu, Dana H. Brooks, Robert S. MacL...