Low-Rank Methods in Event Detection With Subsampled Point-to-Subspace Proximity Tests

Low-Rank Methods in Event Detection With Subsampled Point-to-Subspace Proximity Tests

Monitoring of streamed data to detect abnormal behaviour (variously known as event detection, anomaly detection, change detection, or outlier detection) underlies many applications, especially within the Internet of Things. There, one often collects data from a variety of sources, with asynchronous...

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Bibliographic Details
Main Authors: Jakub Marecek, Stathis Maroulis, Vana Kalogeraki, Dimitrios Gunopulos
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Multidimensional signal processing
monitoring
matrix completion
point-to-subspace proximity
probably approximately correct learning
Online Access:https://ieeexplore.ieee.org/document/9715127/

Internet

https://ieeexplore.ieee.org/document/9715127/

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