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TMI
2010
181views more  TMI 2010»
13 years 6 months ago
In Vivo Impedance Imaging With Total Variation Regularization
—We show that electrical impedance tomography (EIT) image reconstruction algorithms with regularization based on the Total Variation (TV) functional are suitable for in vivo imag...
Andrea Borsic, Brad M. Graham, Andy Adler, William...
CLEF
2003
Springer
14 years 28 days ago
Regular Sound Changes for Cross-Language Information Retrieval
The aim of this project is the automatic conversion of query terms in one language into their equivalents in a second, historically related, language, so that documents in the sec...
Michael P. Oakes, Souvik Banerjee
CAAN
2007
Springer
14 years 1 months ago
Cleaning Random d-Regular Graphs with Brushes Using a Degree-Greedy Algorithm
In the recently introduced model for cleaning a graph with brushes, we use a degree-greedy algorithm to clean a random d-regular graph on n vertices (with dn even). We then use a d...
Margaret-Ellen Messinger, Pawel Pralat, Richard J....
JMLR
2008
139views more  JMLR 2008»
13 years 7 months ago
Regularization on Graphs with Function-adapted Diffusion Processes
Harmonic analysis and diffusion on discrete data has been shown to lead to state-of-theart algorithms for machine learning tasks, especially in the context of semi-supervised and ...
Arthur D. Szlam, Mauro Maggioni, Ronald R. Coifman
MIMI
2007
Springer
14 years 1 months ago
Application of Tikhonov Regularization to Super-Resolution Reconstruction of Brain MRI Images
This paper presents an image super-resolution method that enhances spatial resolution of MRI images in the slice-select direction. The algorithm employs Tikhonov regularization, us...
Xin Zhang, Edmund Y. Lam, Ed X. Wu, Kenneth K. Y. ...