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» Learning from defect removals
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MSR
2009
ACM
16 years 9 days ago
Learning from defect removals
Nathaniel Ayewah, William Pugh
ICMCS
2006
IEEE
126views Multimedia» more  ICMCS 2006»
15 years 11 months ago
Detection and Removal of Long Scratch Lines in Aged Films
Historical films usually have defects. We study the type of defects, and propose a series of solutions to detect defects before they are repaired by our inpainting algorithms. Thi...
Timothy K. Shih, Louis H. Lin, Wonjun Lee
169
Voted
PROMISE
2010
15 years 16 days ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies
CVPR
2010
IEEE
15 years 7 months ago
The Phase Only Transform for unsupervised surface defect detection
We present a simple, fast, and effective method to detect defects on textured surfaces. Our method is unsupervised and contains no learning stage or information on the texture bei...
Dror Aiger, Hugues Talbot
146
Voted
ICML
1995
IEEE
16 years 6 months ago
Removing the Genetics from the Standard Genetic Algorithm
Shumeet Baluja, Rich Caruana