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12 years 7 months ago
Detecting and Discriminating Behavioural Anomalies
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempor...
Chen Change Loy, Tao Xiang, Shaogang Gong
PR
2011
12 years 11 months ago
Detecting and discriminating behavioural anomalies
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempo...
Chen Change Loy, Tao Xiang, Shaogang Gong
IAT
2007
IEEE
14 years 3 months ago
Network Intrusion Detection by Means of Community of Trusting Agents
We apply advanced agent trust modeling techniques to identify malicious traffic in computer networks. Our work integrates four state-of-the-art techniques from anomaly detection,...
Martin Rehák, Michal Pechoucek, Karel Barto...
CVPR
2003
IEEE
14 years 10 months ago
Representation and Detection of Deformable Shapes
We describe some techniques that can be used to represent and detect deformable shapes in images. The main difficulty with deformable template models is the very large or infinite...
Pedro F. Felzenszwalb
TSMC
2011
292views more  TSMC 2011»
13 years 3 months ago
Circular Blurred Shape Model for Multiclass Symbol Recognition
—In this paper, we propose a circular blurred shape model descriptor to deal with the problem of symbol detection and classification as a particular case of object recognition. ...
Sergio Escalera, Alicia Fornés, Oriol Pujol...