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» Quantile Sensitivity Estimation
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162
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ISSRE
2007
IEEE
15 years 5 months ago
Using In-Process Testing Metrics to Estimate Post-Release Field Quality
In industrial practice, information on the software field quality of a product is available too late in the software lifecycle to guide affordable corrective action. An important ...
Nachiappan Nagappan, Laurie Williams, Mladen A. Vo...
132
Voted
DPHOTO
2009
200views Hardware» more  DPHOTO 2009»
15 years 1 months ago
Illuminant estimation and detection using near-infrared
Digital camera sensors are sensitive to wavelengths ranging from the ultraviolet (200-400nm) to the near-infrared (700-100nm) bands. This range is, however, reduced because the ai...
Clément Fredembach, Sabine Süsstrunk
143
Voted
CVPR
2010
IEEE
1814views Computer Vision» more  CVPR 2010»
16 years 28 days ago
Depth from Diffusion
An optical diffuser is an element that scatters light and is commonly used to soften or shape illumination. In this paper, we propose a novel depth estimation method that places a ...
Changyin Zhou, Oliver Cossairt, Shree Nayar
127
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Robust image registration with illumination, blur and noise variations for super-resolution
Super-resolution reconstruction algorithms assume the availability of exact registration and blur parameters. Inaccurate estimation of these parameters adversely affects the quali...
Himanshu Arora, Anoop M. Namboodiri, C. V. Jawahar
125
Voted
SAC
2006
ACM
15 years 9 months ago
On the use of spectral filtering for privacy preserving data mining
Randomization has been a primary tool to hide sensitive private information during privacy preserving data mining.The previous work based on spectral filtering, show the noise ma...
Songtao Guo, Xintao Wu