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JCAM
2010
84views more  JCAM 2010»
13 years 2 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
NAA
2000
Springer
88views Mathematics» more  NAA 2000»
13 years 11 months ago
Schwarz Methods for Convection-Diffusion Problems
Abstract. Various variants of Schwarz methods for a singularly perturbed two dimensional stationary convection-diffusion problem are constructed and analysed. The iteration counts,...
H. MacMullen, Eugene O'Riordan, Grigorii I. Shishk...
SIAMSC
2010
141views more  SIAMSC 2010»
13 years 5 months ago
An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson
In numerous applications of image processing, e.g. astronomical and medical imaging, data-noise is well-modeled by a Poisson distribution. This motivates the use of the negative-lo...
Johnathan M. Bardsley, John Goldes
ECCV
2010
Springer
13 years 8 months ago
Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision
The saddle point framework provides a convenient way to formulate many convex variational problems that occur in computer vision. The framework unifies a broad range of data and re...
Jan Lellmann, Dirk Breitenreicher, Christoph Schn&...
SARA
2005
Springer
14 years 25 days ago
Feature-Discovering Approximate Value Iteration Methods
Sets of features in Markov decision processes can play a critical role ximately representing value and in abstracting the state space. Selection of features is crucial to the succe...
Jia-Hong Wu, Robert Givan