Self-representation and low-rank tensor based multi-view unsupervised feature selection.
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| Title: | Self-representation and low-rank tensor based multi-view unsupervised feature selection. |
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| Authors: | Su, Jingfeng1 (AUTHOR) sjf333@email.swu.edu.cn, Che, Hangjun1,2 (AUTHOR) hjche123@swu.edu.cn, Zhou, Qianlong1 (AUTHOR) z1090132642@email.swu.edu.cn, Leung, Man-Fai3 (AUTHOR) man-fai.leung@aru.ac.uk, Zhao, You1 (AUTHOR) zy20236048@swu.edu.cn, Huang, Junjian1 (AUTHOR) junjianhuang@swu.edu.cn, He, Xing1 (AUTHOR) hexingdoc@swu.edu.cn |
| Source: | Pattern Recognition. Nov2026:Part C, Vol. 179, pN.PAG-N.PAG. 1p. |
| Subjects: | Tensor algebra, Feature selection, Dimensional reduction algorithms |
| Database: | Engineering Source |
| ISSN: | 00313203 |
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| DOI: | 10.1016/j.patcog.2026.113721 |
