A review of novelty detection
Novelty detection is the task of classifying test data that differ in some respect from the data that are available during training. This may be seen as "one-class classification", in which a model is constructed to describe "normal" training data. The novelty detection approach...
主要な著者: | , , , |
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フォーマット: | Journal article |
出版事項: |
Elsevier
2014
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