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» Detecting critical regions in multidimensional data sets
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ICIP
2010
IEEE
13 years 5 months ago
3D vertebrae segmentation using graph cuts with shape prior constraints
Osteoporosis is a bone disease characterized by a reduction in bone mass, resulting in an increased risk of fractures. To diagnose the osteoporosis accurately, bone mineral densit...
Melih S. Aslan, Asem M. Ali, Dongqing Chen, Ben Ar...
INFOCOM
2009
IEEE
14 years 2 months ago
Network Performance Anomaly Detection and Localization
Abstract—Detecting the occurrence and location of performance anomalies (e.g., high jitter or loss events) is critical to ensuring the effective operation of network infrastructu...
Paul Barford, Nick G. Duffield, Amos Ron, Joel Som...
ECIS
2000
13 years 9 months ago
Community Health Assessments: A Data Warehousing Approach
- The measurement and assessment of health status in communities throughout the world is a massive information technology challenge. The Comprehensive Assessment for Tracking Commu...
Donald J. Berndt, Alan R. Hevner, James Studnicki
3DIM
2003
IEEE
14 years 1 months ago
Geometrically Stable Sampling for the ICP Algorithm
The Iterative Closest Point (ICP) algorithm is a widely used method for aligning three-dimensional point sets. The quality of alignment obtained by this algorithm depends heavily ...
Natasha Gelfand, Szymon Rusinkiewicz, Leslie Ikemo...
RAID
2004
Springer
14 years 1 months ago
HoneyStat: Local Worm Detection Using Honeypots
Worm detection systems have traditionally used global strategies and focused on scan rates. The noise associated with this approach requires statistical techniques and large data s...
David Dagon, Xinzhou Qin, Guofei Gu, Wenke Lee, Ju...