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Generative Models for Novelty Detection: Applications in abnormal event and situational change detection from data series
[article]
2019
arXiv
pre-print
Novelty detection is a process for distinguishing the observations that differ in some respect from the observations that the model is trained on. Novelty detection is one of the fundamental requirements of a good classification or identification system since sometimes the test data contains observations that were not known at the training time. In other words, the novelty class is often is not presented during the training phase or not well defined. In light of the above, one-class classifiers
arXiv:1904.04741v1
fatcat:fdwhsuaoi5hcdbjzcbjh2z6ydu