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ICASSP
2011
IEEE
14 years 8 months ago
Denoising of image patches via sparse representations with learned statistical dependencies
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
Tomer Faktor, Yonina C. Eldar, Michael Elad
ISVC
2009
Springer
15 years 11 months ago
Fast Occlusion Sweeping
While realistic illumination significantly improves the visual quality and perception of rendered images, it is often very expensive to compute. In this paper, we propose a new al...
Mayank Singh, Cem Yuksel, Donald H. House
BMCBI
2008
102views more  BMCBI 2008»
15 years 4 months ago
Significance analysis of microarray for relative quantitation of LC/MS data in proteomics
Background: Although fold change is a commonly used criterion in quantitative proteomics for differentiating regulated proteins, it does not provide an estimation of false positiv...
Bryan A. P. Roxas, Qingbo Li
BMCBI
2006
165views more  BMCBI 2006»
15 years 4 months ago
A stable gene selection in microarray data analysis
Background: Microarray data analysis is notorious for involving a huge number of genes compared to a relatively small number of samples. Gene selection is to detect the most signi...
Kun Yang, Zhipeng Cai, Jianzhong Li, Guohui Lin
TCSV
2008
130views more  TCSV 2008»
15 years 4 months ago
Aliasing Reduction via Frequency Roll-Off for Scalable Image/Video Coding
The extracted low resolution video from a motion compensated 3-D subband/wavelet scalable video coder is unnecessarily sharp and sometimes contains significant aliasing, compared ...
Yongjun Wu, John W. Woods