104 search results - page 17 / 21 » An Overview Of Inverse Problem Regularization Using Sparsity |
ICPR
2000
IEEE
14 years 7 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...
PADL
2004
Springer
14 years 1 days ago
2004
Springer
We describe the design and implementation of a program generator that can produce extensions of Fortran that are specialized to support the programming of particular applications. ...
BMVC
2010
13 years 4 months ago
2010
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
CORR
2011
Springer
13 years 1 months ago
2011
Springer
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...