Ghent University Academic Bibliography

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Enhanced sparsity prior model for low-rank tensor completion

Jize Xue, Yongqiang Zhao, Wenzhi Liao (UGent) , Jonathan Cheung-Wai Chan and Seong G. Kong

(2020) IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 31(11). p.4567-4581
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- Journal Article
- A1
- open access
Nonlocal tensor sparse representation and low-rank regularization for hyperspectral image compressive sensing reconstruction

Jize Xue, Yongqiang Zhao, Wenzhi Liao (UGent) and Jonathan Chan

(2019) REMOTE SENSING. 11(2).
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Nonlocal low-rank regularized tensor decomposition for hyperspectral image denoising

Jize Xue (UGent) , Yongqiang Zhao, Wenzhi Liao (UGent) and Jonathan Cheung-Wai Chan

(2019) IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 57(7). p.5174-5189
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- Conference Paper
- C1
- open access
Hyperspectral and multispectral image fusion via tensor sparsity regularization

Jize Xue (UGent) , Yongqiang Zhao, Wenzhi Liao (UGent) and Wilfried Philips (UGent)

(2019) 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS19).
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Hyper-Laplacian regularized nonlocal low-rank matrix recovery for hyperspectral image compressive sensing reconstruction

Jize Xue, Yongqiang Zhao, Wenzhi Liao (UGent) and Jonathan Cheung-Wai Chan

(2019) INFORMATION SCIENCES. 501. p.406-420
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Nonconvex tensor rank minimization and its applications to tensor recovery

Jize Xue, Yongqiang Zhao, Wenzhi Liao (UGent) and Jonathan Cheung-Wai Chan

(2019) INFORMATION SCIENCES. 503. p.109-128
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Joint spatial and spectral low-rank regularization for hyperspectral image denoising

Jize Xue, Yongqiang Zhao, Wenzhi Liao (UGent) and Seong G. Kong

(2018) IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 56(4). p.1940-1958
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- Journal Article
- A1
- open access
Total variation and Rank-1 constraint RPCA for background subtraction

Jize Xue, Yongqiang Zhao, Wenzhi Liao (UGent) and Jonathan Chan

(2018) IEEE ACCESS. 6. p.49955-49966

Academic Bibliography

Enhanced sparsity prior model for low-rank tensor completion

Nonlocal tensor sparse representation and low-rank regularization for hyperspectral image compressive sensing reconstruction

Nonlocal low-rank regularized tensor decomposition for hyperspectral image denoising

Hyperspectral and multispectral image fusion via tensor sparsity regularization

Hyper-Laplacian regularized nonlocal low-rank matrix recovery for hyperspectral image compressive sensing reconstruction

Nonconvex tensor rank minimization and its applications to tensor recovery

Joint spatial and spectral low-rank regularization for hyperspectral image denoising

Total variation and Rank-1 constraint RPCA for background subtraction

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