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ICIP
2009
IEEE
14 years 8 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...
NIPS
2004
13 years 9 months ago
Learning, Regularization and Ill-Posed Inverse Problems
Many works have shown that strong connections relate learning from examples to regularization techniques for ill-posed inverse problems. Nevertheless by now there was no formal ev...
Lorenzo Rosasco, Andrea Caponnetto, Ernesto De Vit...
CORR
2010
Springer
171views Education» more  CORR 2010»
13 years 7 months ago
Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity
A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP...
Guoshen Yu, Guillermo Sapiro, Stéphane Mall...
IJAR
2007
48views more  IJAR 2007»
13 years 7 months ago
Using expert knowledge in solving the seismic inverse problem
For many practical applications, it it important to solve the seismic inverse problem, i.e., to measure seismic travel times and reconstruct velocities at different depths from t...
Matthew G. Averill, Kate C. Miller, G. Randy Kelle...
PAA
2008
13 years 7 months ago
Distance-based discriminant analysis method and its applications
This paper proposes a method of finding a discriminative linear transformation that enhances the data's degree of conformance to the compactness hypothesis and its inverse. Th...
Serhiy Kosinov, Thierry Pun