998 search results - page 17 / 200 » Sparse Image Reconstruction using Sparse Priors |
115
Voted
CORR
2011
Springer
14 years 7 months ago
2011
Springer
: We demonstrate that sub-wavelength optical images borne on partially-spatially-incoherent light can be recovered, from their far-field or from the blurred image, given the prior ...
103
Voted
ISBI
2009
IEEE
15 years 10 months ago
2009
IEEE
The inverse problem with distributed dipoles models in M/EEG is strongly ill-posed requiring to set priors on the solution. Most common priors are based on a convenient ℓ2 norm....
149
Voted
JMLR
2010
14 years 10 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
120
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features (dictionary elements), with covar...
144
Voted
CVPR
2010
IEEE
16 years 2 days ago
2010
IEEE
Modeling moving and deforming objects requires capturing as much information as possible during a very short time. When using off-the-shelf hardware, this often hinders the resolu...