409 search results - page 11 / 82 » Super-Resolution with Adaptive Regularization |
ICIP
2000
IEEE
2000
IEEE
Motion Estimation Using Adaptive Blocksize Observation Model and Efficient Multiscale Regularization
14 years 11 months ago
Bayesian motion estimation requires two pdf models: observation model and motion field (prior) model. The optimization process for this method uses sequential approach, e.g. simul...
TMI
2008
13 years 9 months ago
2008
Tomographic reconstruction from positron emission tomography (PET) data is an ill-posed problem that requires regularization. An attractive approach is to impose an 1-regularizatio...
IEICET
2007
13 years 9 months ago
2007
In order to obtain better learning results in supervised learning, it is important to choose model parameters appropriately. Model selection is usually carried out by preparing a ...
TIP
2008
13 years 8 months ago
2008
Kernel regression is an effective tool for a variety of image processing tasks such as denoising and interpolation [1]. In this paper, we extend the use of kernel regression for de...
ICC
2007
IEEE
14 years 4 months ago
2007
IEEE
— Adaptive Search Radius (ASR) is a peer selection method that can be used in Peer-to-Peer (P2P) file sharing applications, such as eMule or BitTorrent, in order to reduce the g...