Normalizing flows for novelty detection in industrial time series data.

Maximilian Schmidt Marko Simic

Published in: CoRR (2019)

Keyphrases

novelty detection
anomaly detection
text filtering
industrial applications
sentence level
high dimensional
concept drift
minimum volume
computer vision
data points
standard deviation
support vector data description
data sets
pairwise
association rules
pattern recognition
machine learning
neural network