Matrix Regression Based on Truncated Nuclear Norm and Application in Face Recognition

Computer Science and Application ◽

10.12677/csa.2021.113076 ◽

2021 ◽

Vol 11 (03) ◽

pp. 741-750

Author(s):

松穆

Keyword(s):

Face Recognition ◽

Nuclear Norm ◽

Truncated Nuclear Norm

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Online robust principal component analysis via truncated nuclear norm regularization

Neurocomputing ◽

10.1016/j.neucom.2015.10.052 ◽

2016 ◽

Vol 175 ◽

pp. 216-222 ◽

Author(s):

Bin Hong ◽

Long Wei ◽

Yao Hu ◽

Deng Cai ◽

Xiaofei He

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Nuclear Norm ◽

Robust Principal Component Analysis ◽

Nuclear Norm Regularization ◽

Truncated Nuclear Norm

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Double truncated nuclear norm-based matrix decomposition with application to background modeling

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-018-1148-x ◽

2018 ◽

Author(s):

Zhangjing Yang ◽

Hui Zhang ◽

Danhua Xu ◽

Fanlong Zhang ◽

Guowei Yang

Keyword(s):

Matrix Decomposition ◽

Background Modeling ◽

Nuclear Norm ◽

Truncated Nuclear Norm

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Low-rank and sparse matrix decomposition via the truncated nuclear norm and a sparse regularizer

The Visual Computer ◽

10.1007/s00371-018-1555-1 ◽

2018 ◽

Vol 35 (11) ◽

pp. 1549-1566 ◽

Author(s):

Zhichao Xue ◽

Jing Dong ◽

Yuxin Zhao ◽

Chang Liu ◽

Ryad Chellali

Keyword(s):

Sparse Matrix ◽

Matrix Decomposition ◽

Nuclear Norm ◽

Low Rank ◽

Truncated Nuclear Norm

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Low rank matrix completion using truncated nuclear norm and sparse regularizer

Signal Processing Image Communication ◽

10.1016/j.image.2018.06.007 ◽

2018 ◽

Vol 68 ◽

pp. 76-87 ◽

Author(s):

Jing Dong ◽

Zhichao Xue ◽

Jian Guan ◽

Zi-Fa Han ◽

Wenwu Wang

Keyword(s):

Matrix Completion ◽

Nuclear Norm ◽

Low Rank ◽

Rank Matrix ◽

Low Rank Matrix Completion ◽

Low Rank Matrix ◽

Truncated Nuclear Norm

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Hyperspectral Anomaly Detection Based on Tensor Truncated Nuclear Norm and Linear Total Variation Regularization

10.1007/978-3-030-87358-5_20 ◽

2021 ◽

pp. 250-261

Author(s):

Xiangbo Wang ◽

Zebin Wu ◽

Yang Xu ◽

Zhihui Wei ◽

Lei Xia

Keyword(s):

Anomaly Detection ◽

Total Variation ◽

Nuclear Norm ◽

Total Variation Regularization ◽

Truncated Nuclear Norm

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Robust Face Recognition Via Dual Nuclear Norm Low-rank Representation and Self-representation Induced Classifier

2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS) ◽

10.1109/ccis.2018.8691366 ◽

2018 ◽

Author(s):

Zangyi Hu ◽

Guangwei Gao ◽

Hao Gao ◽

Songsong Wu ◽

Dong Zhu ◽

...

Keyword(s):

Face Recognition ◽

Nuclear Norm ◽

Low Rank ◽

Low Rank Representation ◽

Robust Face Recognition

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Nuclear norm-based matrix regression preserving embedding for face recognition

Neurocomputing ◽

10.1016/j.neucom.2018.05.078 ◽

2018 ◽

Vol 311 ◽

pp. 279-290 ◽

Author(s):

Yang-Jun Deng ◽

Heng-Chao Li ◽

Qi Wang ◽

Qian Du

Keyword(s):

Face Recognition ◽

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Nuclear norm-based two-dimensional discriminant locality preserving projection for face recognition

Journal of Electronic Imaging ◽

10.1117/1.jei.27.4.043012 ◽

2018 ◽

Vol 27 (04) ◽

pp. 1

Author(s):

Lijiang Chen ◽

Wentao Dou ◽

Xia Mao

Keyword(s):

Face Recognition ◽

Nuclear Norm ◽

Two Dimensional ◽

Locality Preserving Projection ◽

Locality Preserving

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Truncated Nuclear Norm Based Hyperspectral Unmixing Method

2019 27th Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu.2019.8806526 ◽

2019 ◽

Author(s):

Taner Ince

Keyword(s):

Nuclear Norm ◽

Hyperspectral Unmixing ◽

Truncated Nuclear Norm

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A sparse regularized nuclear norm based matrix regression for face recognition with contiguous occlusion

Pattern Recognition Letters ◽

10.1016/j.patrec.2019.05.018 ◽

2019 ◽

Vol 125 ◽

pp. 494-499 ◽

Author(s):

Zhe Chen ◽

Xiao-Jun Wu ◽

Josef Kittler

Keyword(s):

Face Recognition ◽

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