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Tensor Low-Rank Sparse Representation for Tensor Subspace Learning
Neurocomputing
◽
10.1016/j.neucom.2021.02.002
◽
2021
◽
Author(s):
Shiqiang Du
◽
Yuqing Shi
◽
Guangrong Shan
◽
Weilan Wang
◽
Yide Ma
Keyword(s):
Sparse Representation
◽
Subspace Learning
◽
Low Rank
◽
Tensor Subspace
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Cited By
References
Low-Rank Tensor Subspace Learning for RGB-D Action Recognition
IEEE Transactions on Image Processing
◽
10.1109/tip.2016.2589320
◽
2016
◽
Vol 25
(10)
◽
pp. 4641-4652
◽
Cited By ~ 23
Author(s):
Chengcheng Jia
◽
Yun Fu
Keyword(s):
Action Recognition
◽
Subspace Learning
◽
Low Rank
◽
Rank Tensor
◽
Tensor Subspace
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Discriminative Transfer Subspace Learning via Low-Rank and Sparse Representation
IEEE Transactions on Image Processing
◽
10.1109/tip.2015.2510498
◽
2016
◽
Vol 25
(2)
◽
pp. 850-863
◽
Cited By ~ 127
Author(s):
Yong Xu
◽
Xiaozhao Fang
◽
Jian Wu
◽
Xuelong Li
◽
David Zhang
Keyword(s):
Sparse Representation
◽
Subspace Learning
◽
Low Rank
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Learning task-driving affinity matrix for accurate multi-view clustering through tensor subspace learning
Information Sciences
◽
10.1016/j.ins.2021.02.054
◽
2021
◽
Vol 563
◽
pp. 290-308
Author(s):
Haiyan Wang
◽
Guoqiang Han
◽
Junyu Li
◽
Bin Zhang
◽
Jiazhou Chen
◽
...
Keyword(s):
Learning Task
◽
Subspace Learning
◽
Affinity Matrix
◽
Tensor Subspace
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Background Initialization Based on Adaptive Online Low-rank Subspace Learning
2020 15th IEEE International Conference on Signal Processing (ICSP)
◽
10.1109/icsp48669.2020.9320960
◽
2020
◽
Author(s):
Guang Han
◽
Guanghao Zhang
◽
Xi Cai
Keyword(s):
Subspace Learning
◽
Low Rank
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Cluster-based image super-resolution via jointly low-rank and sparse representation
Journal of Visual Communication and Image Representation
◽
10.1016/j.jvcir.2016.02.015
◽
2016
◽
Vol 38
◽
pp. 175-185
◽
Cited By ~ 7
Author(s):
Ningning Han
◽
Zhanjie Song
◽
Ying Li
Keyword(s):
Sparse Representation
◽
Super Resolution
◽
Low Rank
◽
Image Super Resolution
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Hyperspectral Image Denoising via Sparse Representation and Low-Rank Constraint
IEEE Transactions on Geoscience and Remote Sensing
◽
10.1109/tgrs.2014.2321557
◽
2015
◽
Vol 53
(1)
◽
pp. 296-308
◽
Cited By ~ 186
Author(s):
Yong-Qiang Zhao
◽
Jingxiang Yang
Keyword(s):
Sparse Representation
◽
Image Denoising
◽
Hyperspectral Image
◽
Low Rank
◽
Rank Constraint
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Enhancement of vital signals based on low-rank, sparse representation for UWB through-wall radar
Remote Sensing Letters
◽
10.1080/2150704x.2021.1995069
◽
2021
◽
Vol 13
(1)
◽
pp. 98-106
Author(s):
Jun Pan
◽
Shengbo Ye
◽
Zhi-kang Ni
◽
Cheng Shi
◽
Zhijie Zheng
◽
...
Keyword(s):
Sparse Representation
◽
Low Rank
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Robust Multi-view Subspace Learning Through Structured Low-Rank Matrix Recovery
Pattern Recognition and Computer Vision - Lecture Notes in Computer Science
◽
10.1007/978-3-030-03338-5_36
◽
2018
◽
pp. 427-439
Author(s):
Jiamiao Xu
◽
Xinge You
◽
Qi Zheng
◽
Fangzhao Wang
◽
Peng Zhang
Keyword(s):
Subspace Learning
◽
Low Rank
◽
Matrix Recovery
◽
Rank Matrix
◽
Low Rank Matrix Recovery
◽
Low Rank Matrix
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LR2-SR: Laplacian Regularized Low-Rank Sparse Representation for Single Image Super-Resolution
2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM)
◽
10.1109/bigmm.2018.8499082
◽
2018
◽
Cited By ~ 1
Author(s):
Wenming Yang
◽
Xuesen Shang
◽
Kaiquan Chen
◽
Shuifa Sun
Keyword(s):
Sparse Representation
◽
Super Resolution
◽
Low Rank
◽
Single Image
◽
Image Super Resolution
◽
Single Image Super Resolution
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Optimal Subspace Learning for Sparse Representation Based Classifier via Discriminative Principal Subspaces Alignment
Rough Sets and Knowledge Technology - Lecture Notes in Computer Science
◽
10.1007/978-3-319-11740-9_30
◽
2014
◽
pp. 320-331
Author(s):
Lai Wei
Keyword(s):
Sparse Representation
◽
Subspace Learning
◽
Optimal Subspace
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