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Discriminative Nonnegative Tucker Decomposition for Tensor Data Representation

Nonnegative Tucker decomposition (NTD) is an unsupervised method and has been extended in many applied fields. However, NTD does not make use of the label information of sample data, even though such label information is available. To remedy the defect, in this paper, we propose a label constraint N...

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Hlavní autoři: Wenjing Jing, Linzhang Lu, Qilong Liu
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2022-12-01
Edice:Mathematics
Témata:
tensor factorization
nonnegative Tucker decomposition
label information
dimension reduction
clustering
On-line přístup:https://www.mdpi.com/2227-7390/10/24/4723
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