63 search results - page 9 / 13 » Recovery of sparse perturbations in Least Squares problems |
ISBI
2008
IEEE
2008
IEEE
Tomographic image reconstruction from limited-view projections with Wiener filtered focuss algorithm
14 years 8 months ago
In tomographic image reconstruction from limited-view projections the underlying inverse problem is ill-posed with the rank-deficient system matrix. The minimal-norm least squares...
ICCVW
1999
Springer
13 years 12 months ago
1999
Springer
This paper is a survey of the theory and methods of photogrammetric bundle adjustment, aimed at potential implementors in the computer vision community. Bundle adjustment is the p...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The 1 norm regularized least square technique has been proposed as an efficient method to calculate sparse solutions. However, the choice of the regularization parameter is still...
ISCAS
2008
IEEE
14 years 2 months ago
2008
IEEE
— Non-negative matrix factorization (NMF), i.e. V ≈ WH where both V, W and H are non-negative has become a widely used blind source separation technique due to its part based r...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Linear inverse problems in computer vision, including motion estimation, shape fitting and image reconstruction, give rise to parameter estimation problems with highly correlated ...