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» A 2D model for face superresolution
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BMCBI
2010
113views more  BMCBI 2010»
13 years 7 months ago
Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using MetaPrint2D and Bioclipse
Background: Predicting metabolic sites is important in the drug discovery process to aid in rapid compound optimisation. No interactive tool exists and most of the useful tools ar...
Lars Carlsson, Ola Spjuth, Samuel Adams, Robert C....
ICPR
2006
IEEE
14 years 8 months ago
A Regression Model in TensorPCA Subspace for Face Image Super-resolution Reconstruction
A regression model in the tensorPCA subspace is proposed in this paper for face super-resolution reconstruction. An approximate conditional probability model is used for the tenso...
Junwen Wu, Mohan M. Trivedi
ICIP
2005
IEEE
14 years 9 months ago
Layered local prediction network with dynamic learning for face super-resolution
In this paper, we propose a novel framework for face super-resolution based on a layered predictor network. In the first layer, multiple predictors are trained online with a dynami...
Dahua Lin, Wei Liu, Xiaoou Tang
CVPR
2005
IEEE
14 years 9 months ago
Hallucinating Faces: TensorPatch Super-Resolution and Coupled Residue Compensation
In this paper, we propose a new face hallucination framework based on image patches, which integrates two novel statistical super-resolution models. Considering that image patches...
Wei Liu, Dahua Lin, Xiaoou Tang
ICPR
2008
IEEE
14 years 2 months ago
Face super-resolution using 8-connected Markov Random Fields with embedded prior
In patch based face super-resolution method, the patch size is usually very small, and neighbor patches’ relationship via overlapped regions is only to keep smoothness of recons...
Kai Guo, Xiaokang Yang, Rui Zhang, Guangtao Zhai, ...