Review on autoencoder and its application

Review on autoencoder and its application

Εμφάνιση άλλων εκδόσεων (1)

As a typical deep unsupervised learning model, autoencoder can automatically learn effective abstract features from unlabeled samples.In recent years, autoencoder has been widely used in target recognition, intrusion detection, fault diagnosis and many other fields.Thus, the theoretical basis, impro...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Jie LAI, Xiaodan WANG, Qian XIANG, Yafei SONG, Wen QUAN
Μορφή:	Άρθρο
Γλώσσα:	zho
Έκδοση:	Editorial Department of Journal on Communications 2021-09-01
Σειρά:	Tongxin xuebao
Θέματα:	autoencoder deep learning unsupervised learning feature extraction regularization
Διαθέσιμο Online:	http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021160/

Παρόμοια τεκμήρια

Review on autoencoder and its application
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Isolation Forests and Deep Autoencoders for Industrial Screw Tightening Anomaly Detection
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Auto encoder-guided Feature Extraction for Pneumonia Identification from Chest X-ray Images
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Semi-Supervised Adversarial Variational Autoencoder
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Anomaly detection in images with shared autoencoders
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