Graph Regularized Deep Sparse Representation for Unsupervised Anomaly Detection

Anomaly detection (AD) aims to distinguish the data points that are inconsistent with the overall pattern of the data. Recently, unsupervised anomaly detection methods have aroused huge attention. Among these methods, feature representation (FR) plays an important role, which can directly affect the...

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Detalles Bibliográficos
Autores principales: Li, Shicheng, Lai, Shumin, Jiang, Yan, Wang, Wenle, Yi, Yugen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580626/
https://www.ncbi.nlm.nih.gov/pubmed/34777492
http://dx.doi.org/10.1155/2021/4026132

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580626/
https://www.ncbi.nlm.nih.gov/pubmed/34777492
http://dx.doi.org/10.1155/2021/4026132

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