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» An Overview Of Inverse Problem Regularization Using Sparsity
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JSCIC
2010
136views more  JSCIC 2010»
13 years 2 months ago
Multiple Level Sets for Piecewise Constant Surface Reconstruction in Highly Ill-Posed Problems
This paper considers highly ill-posed surface recovery inverse problems, where the sought surface in 2D or 3D is piecewise constant with several possible level values. These level...
K. van den Doel, U. M. Ascher, A. Leitão
SIAMSC
2008
179views more  SIAMSC 2008»
13 years 7 months ago
Multigrid Algorithms for Inverse Problems with Linear Parabolic PDE Constraints
Abstract. We present a multigrid algorithm for the solution of distributed parameter inverse problems constrained by variable-coefficient linear parabolic partial differential equa...
Santi S. Adavani, George Biros
TIM
2010
112views Education» more  TIM 2010»
13 years 2 months ago
Helmholtz-Type Regularization Method for Permittivity Reconstruction Using Experimental Phantom Data of Electrical Capacitance T
Electrical capacitance tomography (ECT) attempts to image the permittivity distribution of an object by measuring the electrical capacitance between sets of electrodes placed aroun...
Manuchehr Soleimani, Phaneendra K. Yalavarthy, Ham...
ACL
2011
12 years 11 months ago
Discovering Sociolinguistic Associations with Structured Sparsity
We present a method to discover robust and interpretable sociolinguistic associations from raw geotagged text data. Using aggregate demographic statistics about the authors’ geo...
Jacob Eisenstein, Noah A. Smith, Eric P. Xing
ICIP
2010
IEEE
13 years 5 months ago
Poisson image reconstruction with total variation regularization
This paper describes an optimization framework for reconstructing nonnegative image intensities from linear projections contaminated with Poisson noise. Such Poisson inverse probl...
Rebecca Willett, Zachary T. Harmany, Roummel F. Ma...