28 search results - page 4 / 6 » Variational Bayesian Super Resolution |
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
EMMCVPR
2009
Springer
14 years 2 months ago
2009
Springer
The problem of recovering a high-resolution image from a set of distorted (e.g., warped, blurred, noisy) and low-resolution images is known as super-resolution. Accurate motion est...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. Super-resolution is a technique to restore the detailed information from the degenerated data. Lots of previous work is for 2D images while super-resolution of 3D models ...
TIP
2010
13 years 2 months ago
2010
Multiframe super-resolution (SR) reconstruction of small moving objects against a cluttered background is difficult for two reasons: a small object consists completely of "mix...
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Nuclear magnetic resonance (NMR) spectral analysis has recently become one of the major means for the detection and recognition of metabolic changes of disease state, physiologica...