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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Detaylı Bibliyografya
Asıl Yazarlar: Jakub Marecek, Stathis Maroulis, Vana Kalogeraki, Dimitrios Gunopulos
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: IEEE 2022-01-01
Seri Bilgileri:IEEE Access
Konular:
Multidimensional signal processing
monitoring
matrix completion
point-to-subspace proximity
probably approximately correct learning
Online Erişim:https://ieeexplore.ieee.org/document/9715127/

Internet

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

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