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Josef Ressel Centre for Intelligent and Secure Industrial Automation, University of Applied Sciences, Salzburg, Austria
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Latent SDEs reveal a powerful new framework for detecting anomalies in multivariate time series, outperforming traditional methods in the face of data irregularities and sparsity.
Ditch the brittle Hough Transform: persistent homology offers a noise-resistant way to detect lines in point clouds.
