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ICCS
2007
Springer
13 years 10 months ago
Hessian-Based Model Reduction for Large-Scale Data Assimilation Problems
Assimilation of spatially- and temporally-distributed state observations into simulations of dynamical systems stemming from discretized PDEs leads to inverse problems with high-di...
Omar Bashir, Omar Ghattas, Judith Hill, Bart G. va...
ICIP
2008
IEEE
13 years 11 months ago
An iterative algorithm for linear inverse problems with compound regularizers
In several imaging inverse problems, it may be of interest to encourage the solution to have characteristics which are most naturally expressed by the combination of more than one...
José M. Bioucas-Dias, Mário A. T. Fi...

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Pascal GetreuerResearch Scientist, PhD
Pascal Getreuer
I am an applied mathematician with Ph.D. from University of California Los Angeles with expertise in image processing and ten years of experience with C/C++ and MATLAB. My interes...
ICIP
2009
IEEE
14 years 5 months ago
An Overview Of Inverse Problem Regularization Using Sparsity
Sparsity constraints are now very popular to regularized inverse problems. We review several approaches which have been proposed in the last ten years to solve inverse problems su...

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elmillerProfessor
Tufts University
elmiller
Eric L. Miller received the S.B. in 1990, the S.M. in 1992, and the Ph.D. degree in 1994 all in Electrical Engineering and Computer Science at the Massachusetts Institute of Techno...

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Michael Defoin PlatelResearch Scientist, PhD
Rothamsted Research
Michael Defoin Platel

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sfomelProfessor, Associate
University of Texas at Austin
sfomel