178 search results - page 5 / 36 » LSMR: An iterative algorithm for sparse least-squares proble... |
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...
ICA
2010
Springer
13 years 7 months ago
2010
Springer
The problem of estimating a sparse channel, i.e. a channel with a few non-zero taps, appears in many fields of communication including acoustic underwater or wireless transmissions...
SIAMSC
2010
13 years 5 months ago
2010
Abstract. A problem that arises in slice-selective magnetic resonance imaging (MRI) radiofrequency (RF) excitation pulse design is abstracted as a novel linear inverse problem with...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
Least squares (LS) fitting is one of the most fundamental techniques in science and engineering. It is used to estimate parameters from multiple noisy observations. In many probl...
JMLR
2010
13 years 2 months ago
2010
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...