508 search results - page 5 / 102 » Near-Optimal Regularization Parameters for Applications in C... |
DAS
2010
Springer
13 years 6 months ago
2010
Springer
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...
ACCV
2009
Springer
13 years 11 months ago
2009
Springer
Ill-posed linear equations are pervasive in computer vision. A popular way to solve an ill-posed problem is regularization. In this paper, we propose a new criterion for designing ...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Feature and structure selection is an important part of many classification problems. In previous papers, an approach called basis pursuit classification has been proposed which p...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
The Markov chain approximation method is an effective and widely used approach for computing optimal values and controls for stochastic systems. It was extended to nonlinear (and p...
ICPR
2000
IEEE
14 years 8 months ago
2000
IEEE
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model of the recon...