Detecting unregistered users through semi-supervised anomaly detection with similarity datasets

Detecting unregistered users through semi-supervised anomaly detection with similarity datasets

Abstract Recent research has focused on exploring systems that incorporate anomaly detection models to automate the addition of users in user recognition systems. Anomaly detection, a method used to distinguish between new and existing users by identifying abnormal images, has gained significant att...

Cur síos iomlán

Sonraí bibleagrafaíochta
Príomhchruthaitheoirí: Dong Hyuk Heo, Sung Ho Park, Soon Ju Kang
Formáid: Alt
Teanga:English
Foilsithe / Cruthaithe: SpringerOpen 2023-06-01
Sraith:Journal of Big Data
Ábhair:
Unregistered users
Similarity datasets
Semi-supervised anomaly detection
Edge computing
Artificial Intelligence on edge node
Rochtain ar líne:https://doi.org/10.1186/s40537-023-00791-8

Ar líne

https://doi.org/10.1186/s40537-023-00791-8

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