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FLAIRS
2008
13 years 12 months ago
Distance Metric Learning for Conditional Anomaly Detection
Anomaly detection methods can be very useful in identifying unusual or interesting patterns in data. A recently proposed conditional anomaly detection framework extends anomaly de...
Michal Valko, Milos Hauskrecht
KDD
2012
ACM
177views Data Mining» more  KDD 2012»
12 years 2 days ago
Random forests for metric learning with implicit pairwise position dependence
Caiming Xiong, David Johnson, Ran Xu, Jason J. Cor...