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JCAM
2010
84views more  JCAM 2010»
13 years 6 months ago
An interior-point method for large constrained discrete ill-posed problems
Ill-posed problems are numerically underdetermined. It is therefore often beneficial to impose known properties of the desired solution, such as nonnegativity, during the solution...
Serena Morigi, Lothar Reichel, Fiorella Sgallari
MOC
2000
105views more  MOC 2000»
13 years 11 months ago
On the iteratively regularized Gauss-Newton method for solving nonlinear ill-posed problems
The iteratively regularized Gauss-Newton method is applied to compute the stable solutions to nonlinear ill-posed problems F (x) = y when the data y is given approximately by y wit...
Jin Qi-nian
ICPR
2002
IEEE
14 years 4 months ago
Near-Optimal Regularization Parameters for Applications in Computer Vision
Computer vision requires the solution of many ill-posed problems such as optical flow, structure from motion, shape from shading, surface reconstruction, image restoration and ed...
Changjiang Yang, Ramani Duraiswami, Larry S. Davis