HIGHLIGHTS
- who: Wenjing Jing and colleagues from the School of Mathematical Sciences, Guizhou Normal University, Guiyang, China have published the article: Discriminative Nonnegative Tucker Decomposition for Tensor Data Representation, in the Journal: Mathematics 2022, 4723 of /2022/
- what: To remedy the defect in this paper the authors propose a label constraint NTD method namely Discriminative NTD (DNTD) which considers a fraction of the label information of the sample data as a discriminative constraint. Motivated by recent progress , in this paper, the authors propose a label-constrained NTD, called Discriminative NTD, or DNTD for short. The authors . . .
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