A Vision Inspired Neural Network for Unsupervised Anomaly Detection in Unordered Data. (arXiv:2205.06716v1 [cs.LG])

A fundamental problem in the field of unsupervised machine learning is the
detection of anomalies corresponding to rare and unusual observations of
interest; reasons include for their rejection, accommodation or further
investigation. Anomalies are intuitively understood to be something unusual or
inconsistent, whose occurrence sparks immediate attention. More formally
anomalies are those observations-under appropriate random variable
modelling-whose expectation of occurrence with respect to a grouping of prior
interest is less than one; such a definition and understanding has been used …

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