Multi-local Collaborative AutoEncoder

The excellent performance of representation learning of autoencoders have attracted considerable interest in various applications. However, the structure and multi-local collaborative relationships of unlabeled data are ignored in their encoding procedure that limits the capability of feature extrac...

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Veröffentlicht in:	Knowledge-based systems 2022-03, Vol.239, p.107844, Article 107844
Hauptverfasser:	Chu, Jielei, Wang, Hongjun, Liu, Jing, Gong, Zhiguo, Li, Tianrui
Format:	Artikel
Sprache:	eng
Schlagworte:	Autoencoder Clustering Collaboration Deep collaborative representation Feature extraction Feature learning Learning Representations Restricted Boltzmann machine Unsupervised clustering
Online-Zugang:	Volltext
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