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|Title:||Normal vs. Abnormal Behavior|
|Abstract:||The term outlier refers to data that deviates significantly from what is considered normal. Outliers are often of interest since they may indicate that data was generated by a mechanism other than the expected one , or may indicate abnormal or suspicious behavior. The modeling and analysis of normal vs. abnormal behavior proves useful in security-related areas such as biometrics, video surveillance and intrusion-detection, as well as in other areas such as medical imaging, among others.|
|Appears in Collections:||Gavrilova, Marina|
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|2006-819-12.pdf||29.23 kB||Adobe PDF||View/Open|
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