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Multi-criteria Similarity-based Anomaly Detection using Pareto Depth Analysis
If the relative importance of the different dissimilarity measures are not known in advance, as in many anomaly detection applications, the anomaly detection algorithm may need to be executed multiple times with different choices of weights in the linear combination.
Pareto-depth for Multiple-query Image Retrieval
Most content-based image retrieval systems consider either one single query, or multiple queries that include the same object or represent the same semantic information.
Multi-criteria Anomaly Detection using Pareto Depth Analysis
In such a case, multiple criteria can be defined, and one can test for anomalies by scalarizing the multiple criteria by taking some linear combination of them.
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