Autoencoder-based unsupervised clustering and hashing

Faced with a large amount of data and high-dimensional data information in a database, the existing exact nearest neighbor retrieval methods cannot obtain ideal retrieval results within an acceptable retrieval time. Therefore, researchers have begun to focus on approximate nearest neighbor retrieval...

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Vydané v:	Applied intelligence (Dordrecht, Netherlands) Ročník 51; číslo 1; s. 493 - 505
Hlavní autori:	Zhang, Bolin, Qian, Jiangbo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.01.2021 Springer Nature B.V
Predmet:	Artificial Intelligence Artificial neural networks Clustering Computer Science Data retrieval Landsat satellites Machine learning Machines Manufacturing Mechanical Engineering Neural networks Processes Deep learning Information retrieval Clustering Unsupervised hashing
ISSN:	0924-669X, 1573-7497
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