Is it possible to apply this effectively?
.
an example :
https://people.csail.mit.edu/kalyan/AI2_Paper.pdf
you can use autoencodersto learn your 'normal' class, then when testing, if the anomalies look different, there will a huge reconstruction error by using the learnt autoencoder , you can use that to detect an anomaly.
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