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KDD
2005
ACM
158views Data Mining» more  KDD 2005»
16 years 6 months ago
Adversarial learning
Many classification tasks, such as spam filtering, intrusion detection, and terrorism detection, are complicated by an adversary who wishes to avoid detection. Previous work on ad...
Daniel Lowd, Christopher Meek
METRICS
1999
IEEE
15 years 10 months ago
Measuring Clone Based Reengineering Opportunities
Code duplication, plausibly caused by copying source code and slightly modifying it, is often observed in large systems. Clone detection and documentation have been investigated b...
Magdalena Balazinska, Ettore Merlo, Michel Dagenai...
ICRA
2007
IEEE
199views Robotics» more  ICRA 2007»
16 years 18 days ago
Automatic Outlier Detection: A Bayesian Approach
— In order to achieve reliable autonomous control in advanced robotic systems like entertainment robots, assistive robots, humanoid robots and autonomous vehicles, sensory data n...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
BMCBI
2008
80views more  BMCBI 2008»
15 years 6 months ago
Towards an automatic classification of protein structural domains based on structural similarity
Background: Formal classification of a large collection of protein structures aids the understanding of evolutionary relationships among them. Classifications involving manual ste...
Vichetra Sam, Chin-Hsien Tai, Jean Garnier, Jean-F...
CVPR
2004
IEEE
16 years 8 months ago
Bayesian Fusion of Camera Metadata Cues in Semantic Scene Classification
Semantic scene classification based only on low-level vision cues has had limited success on unconstrained image sets. On the other hand, camera metadata related to capture condit...
Matthew R. Boutell, Jiebo Luo