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TSMC
2011
228views more  TSMC 2011»
14 years 11 months ago
Privacy-Preserving Outlier Detection Through Random Nonlinear Data Distortion
— Consider a scenario in which the data owner has some private/sensitive data and wants a data miner to access it for studying important patterns without revealing the sensitive ...
Kanishka Bhaduri, Mark D. Stefanski, Ashok N. Sriv...
PROMISE
2010
14 years 10 months 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
TCSV
2010
14 years 10 months ago
Subsampled Block-Matching for Zoom Motion Compensated Prediction
Motion compensated prediction plays a vital role in achieving enormous video compression efficiency in advanced video coding standards. Most practical motion compensated prediction...
Lai-Man Po, Ka-Man Wong, Kwok-Wai Cheung, Ka-Ho Ng
CVPR
2011
IEEE
14 years 7 months ago
Learning-based Hypothesis Fusion for Robust Catheter Tracking in 2D X-ray Fluoroscopy
Catheter tracking has become more and more important in recent interventional applications. It provides real time guidance for the physicians and can be used as motion compensated...
Wen Wu, Terrence Chen, Adrian Barbu, Peng Wang, No...
HICSS
2011
IEEE
157views Biometrics» more  HICSS 2011»
14 years 7 months ago
Reusing Relational Queries for Intuitive Decision Optimization
— Decision optimization is used in many applications such as those for finding the best course of action in emergencies. However, optimization solutions require considerable mat...
Alexander Brodsky, Nathan E. Egge, Xiaoyang Sean W...
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