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.
Learning the morphology of brain signals using alpha-stable convolutional sparse coding.Advances in Neural Information Processing Systems, pages 1099–1108
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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.