The following publications are possibly variants of this publication:
- Nonconvex low-rank and sparse tensor representation for multi-view subspace clusteringShuqin Wang, Yongyong Chen, Yigang Cen, Linna Zhang, Hengyou Wang, Viacheslav V. Voronin. apin, 52(13):14651-14664, 2022. [doi]
- Tensor low-rank sparse representation for tensor subspace learningShiqiang Du, Yuqing Shi, Guangrong Shan, Weilan Wang, Yide Ma. ijon, 440:351-364, 2021. [doi]
- LRSR: Low-Rank-Sparse representation for subspace clusteringJun Wang, Daming Shi, Dansong Cheng, Yongqiang Zhang, Junbin Gao. ijon, 214:1026-1037, 2016. [doi]
- Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View ClusteringChao Zhang, Huaxiong Li, Wei Lv, Zizheng Huang, Yang Gao, Chunlin Chen. AAAI 2023: 11174-11182 [doi]
- Low-rank tensor multi-view subspace clustering via cooperative regularizationGuoqing Liu, Hongwei Ge, Shuzhi Su, Shuangxi Wang. mta, 82(24):38141-38164, October 2023. [doi]
- Low-Rank Tensor Graph Learning for Multi-View Subspace ClusteringYongyong Chen, Xiaolin Xiao, Chong Peng, Guangming Lu, Yicong Zhou. tcsv, 32(1):92-104, 2022. [doi]
- Generalized Nonconvex Low-Rank Tensor Approximation for Multi-View Subspace ClusteringYongyong Chen, Shuqin Wang, Chong Peng, Zhongyun Hua, Yicong Zhou. TIP, 30:4022-4035, 2021. [doi]
- Incomplete Multi-View Subspace Clustering with Low-Rank TensorJianlun Liu, Shaohua Teng, Wei Zhang, Xiaozhao Fang, Lunke Fei, Zhuxiu Zhang. icassp 2021: 3180-3184 [doi]
- Multi-view subspace clustering with Kronecker-basis-representation-based tensor sparsity measureGui-Fu Lu, Hua Li, Yong Wang, Ganyi Tang. mva, 32(6):123, 2021. [doi]
- Mixed structure low-rank representation for multi-view subspace clusteringShouhang Wang, Yong Wang 0008, Gui-Fu Lu, Wenge Le. apin, 53(15):18470-18487, August 2023. [doi]