MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection

Anomalies are ubiquitous in all scientific fields and can express an unexpected event due to incomplete knowledge about the data distribution or an unknown process that suddenly comes into play and distorts observations. Due to such events' rarity, to train deep learning models on the Anomaly D...

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Veröffentlicht in:	arXiv.org 2021-11
Hauptverfasser:	Fabio Valerio Massoli, Falchi, Fabrizio, Kantarci, Alperen, \c{S}eymanur Akti, Ekenel, Hazim Kemal, Amato, Giuseppe
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Artificial neural networks Centroids Classification Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition Datasets Deep learning Machine learning Multilayers Neural networks Representations
Online-Zugang:	Volltext
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