Convolutional autoencoder based on latent subspace projection for anomaly detection.

Yu, Qien; Li, Chen; Zhu, Ye; Kurita, Takio

Yu, Qien; Li, Chen; Zhu, Ye; Kurita, Takio.

Afiliação

Yu Q; School of Information Science and Engineering, Chongqing Jiaotong University, Chongqing, 400074, China. Electronic address: qienyu33@gmail.com.
Li C; Graduate School of Science, Nagoya University, Chikusa, Nagoya, 464-8602, Japan. Electronic address: lichen7283@gmail.com.
Zhu Y; School of Information Technology, Deakin University, Victoria 3125, Australia. Electronic address: ye.zhu@ieee.org.
Kurita T; Graduate School of Advanced Science and Engineering, Hiroshima University, Higashi-hiroshima, Hiroshima, 739-8521, Japan. Electronic address: tkurita@hiroshima-u.ac.jp.

Methods ; 214: 48-59, 2023 06.

Article em En | MEDLINE | ID: mdl-37120080

Assuntos

Algoritmos

Palavras-chave

Anomaly detection; Autoencoder; Latent subspace projection; Subspace detection

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Methods Assunto da revista: BIOQUIMICA Ano de publicação: 2023 Tipo de documento: Article

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