Dual-space learning with low-rank and sparse constraints for multi-view subspace clustering.
- DOI
- 10.1016/j.neunet.2026.109868
- Published
- 2026 Nov 5
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109868,
title = {Dual-space learning with low-rank and sparse constraints for multi-view subspace clustering.},
author = {Yang L and Wang Y and Huang Y and Lu G and Huang G},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109868},
url = {https://doi.org/10.1016/j.neunet.2026.109868}
}RIS
TY - JOUR TI - Dual-space learning with low-rank and sparse constraints for multi-view subspace clustering. AU - Yang L AU - Wang Y AU - Huang Y AU - Lu G AU - Huang G PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109868 UR - https://doi.org/10.1016/j.neunet.2026.109868 ER -
APA
L, Y., Y, W., Y, H., G, L., & G, H. (2026). Dual-space learning with low-rank and sparse constraints for multi-view subspace clustering.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109868
Source records
- pubmed · retrieved 2026-11-10T12:43:47.779Z