A tensor-pseudoskeleton robust PCA method detects anomalies in space-time data, reporting higher event counts than four baselines on NYC taxi data, with claimed convergence guarantees.
Anomaly detection improvement in computer communication networks using machine learning techniques,
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Robust Anomaly Detection via Tensor Pseudoskeleton Decomposition
A tensor-pseudoskeleton robust PCA method detects anomalies in space-time data, reporting higher event counts than four baselines on NYC taxi data, with claimed convergence guarantees.