Anomaly detection is an important problem that has been researched within diverse research areas and application domains. Many anomaly detection techniques have been specifically developed for certain application domains, while others are more generic. This survey tries to provide a structured

Anomaly detection is an area that has received much attention in recent years. It has a wide variety of applications, including fraud detection and network intrusion detection. A good deal of research has been performed in this area, often using strings or attribute-value data as the medium from

Anomaly detection is an essential component of the protection mechanisms against novel attacks. In this paper, we propose to use several information-theoretic measures, namely, entropy, conditional entropy, relative conditional entropy, information gain, and information cost, for anomaly detection

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framework for automatic sports video annotation

• www.cs.cmu.edu/~pegasus

A bio-inspired knowledge representation method for

The detection of clouds within a satellite im-age is essential for retrieving surface geophys-ical parameters from optical and thermal im-agery. Even a small percentage of cloud cover within a radiometer pixel can adversely af-fect the determination of surface variables such as albedo

A novel framework for anomaly detection in crowded scenes is presented. Three properties are identified as important for the design of a localized video representation suitable for anomaly detection in such scenes: 1) joint modeling of appearance and dynamics of the scene, and the abilities

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