RoseCDL adds stochastic windowing and inline outlier detection to convolutional dictionary learning to enable scalable unsupervised anomaly detection via local reconstruction loss on large signals.
Modified least trimmed quan- tile regression to overcome effects of leverage points.Mathematical Problems in Engineering, 2020:1–13
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RoseCDL: Robust and Scalable Convolutional Dictionary Learning for Rare event and Anomaly Detection
RoseCDL adds stochastic windowing and inline outlier detection to convolutional dictionary learning to enable scalable unsupervised anomaly detection via local reconstruction loss on large signals.