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GECCO
2008
Springer
13 years 6 months ago
2008
Springer
A major difficulty for anomaly detection lies in discovering boundaries between normal and anomalous behavior, due to the deficiency of abnormal samples in the training phase. In...
ICDM
2010
IEEE
13 years 3 months ago
2010
IEEE
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Automatic, defect tolerant registration of transmission electron microscopy (TEM) images poses an important and challenging problem for biomedical image analysis, e.g. in computat...
DMIN
2006
13 years 6 months ago
2006
In this paper, we implement an anomaly detection system using the Dempster-Shafer method. Using two standard benchmark problems we show that by combining multiple signals it is pos...
ICIP
2009
IEEE
14 years 6 months ago
2009
IEEE
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...