Sciweavers

12 search results - page 1 / 3
» Learning, Regularization and Ill-Posed Inverse Problems
Sort
View
NIPS
2004
13 years 10 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...
JSCIC
2010
136views more  JSCIC 2010»
13 years 4 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
SCALESPACE
2009
Springer
14 years 3 months ago
On Level-Set Type Methods for Recovering Piecewise Constant Solutions of Ill-Posed Problems
We propose a regularization method for solving ill-posed problems, under the assumption that the solutions are piecewise constant functions with unknown level sets and unknown leve...
Adriano DeCezaro, Antonio Leitão, Xue-Cheng...
JUCS
2011
174views more  JUCS 2011»
13 years 4 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.
CORR
2010
Springer
228views Education» more  CORR 2010»
13 years 8 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb