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» A Bayesian Approach to Image Restoration
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MCS
2005
Springer
14 years 3 months ago
Ensembles of Classifiers from Spatially Disjoint Data
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
CVPR
2009
IEEE
1587views Computer Vision» more  CVPR 2009»
15 years 3 months ago
High Dynamic Range Image Reconstruction from Hand-held Cameras
This paper presents a technique for reconstructing a high-quality high dynamic range (HDR) image from a set of differently exposed and possibly blurred images taken with a hand-hel...
Pei-Ying Lu, Tz-Huan Huang, Meng-Sung Wu, Yi-Ting ...
ICIP
2001
IEEE
14 years 11 months ago
The curvelet transform for image denoising
We describe approximate digital implementations of two new mathematical transforms, namely, the ridgelet transform [3] and the curvelet transform [7, 6]. Our implementations offer...
Emmanuel J. Candès
BIOINFORMATICS
2005
93views more  BIOINFORMATICS 2005»
13 years 9 months ago
Donuts, scratches and blanks: robust model-based segmentation of microarray images
Inner holes, artifacts and blank spots are common in microarray images, but current image analysis methods do not pay them enough attention. We propose a new robust model-based me...
Qunhua Li, Chris Fraley, Roger Eugene Bumgarner, K...
CVPR
2008
IEEE
14 years 11 months ago
Two-Dimensional Active Learning for image classification
In this paper, we propose a two-dimensional active learning scheme and show its application in image classification. Traditional active learning methods select samples only along ...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang,...