Anomaly Detection on Resource-Constrained Devices with Reservoir Computing
Anomaly detection at the edge requires the deployment of models that achieve competitive performance, while minimizing computational cost and memory footprint. In this article, we investigate the suitability of the Mahalanobis Distance of Reservoir States (MDRS), an unsupervised time-series anomaly detection method, fo...
Marco Angioli, Mathias Persson, Hiroto Tamura et al.
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