A Low-Rank Tensor Regularization Strategy for Hyperspectral Unmixing

2018 IEEE Statistical Signal Processing Workshop (SSP) ◽

10.1109/ssp.2018.8450853 ◽

2018 ◽

Cited By ~ 8

Author(s):

Tales Imbiriba ◽

Ricardo Augusto Borsoi ◽

Jose Carlos Moreira Bermudez

Keyword(s):

Low Rank ◽

Hyperspectral Unmixing ◽

Rank Tensor ◽

Regularization Strategy

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Hyperspectral Unmixing Using Nonlocal Similarity-Regularized Low-Rank Tensor Factorization

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2021.3095488 ◽

2021 ◽

pp. 1-14

Author(s):

Yuan Yuan ◽

Le Dong ◽

Xuelong Li

Keyword(s):

Low Rank ◽

Tensor Factorization ◽

Hyperspectral Unmixing ◽

Rank Tensor ◽

Nonlocal Similarity

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Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2019.2949543 ◽

2020 ◽

Vol 58 (3) ◽

pp. 1833-1842 ◽

Cited By ~ 4

Author(s):

Tales Imbiriba ◽

Ricardo Augusto Borsoi ◽

Jose Carlos Moreira Bermudez

Keyword(s):

Low Rank ◽

Spectral Variability ◽

Hyperspectral Unmixing ◽

Rank Tensor ◽

Tensor Modeling

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Low-Rank Tensor Graph Learning for Multi-view Subspace Clustering

IEEE Transactions on Circuits and Systems for Video Technology ◽

10.1109/tcsvt.2021.3055625 ◽

2021 ◽

pp. 1-1

Author(s):

Yongyong Chen ◽

Xiaolin Xiao ◽

Chong Peng ◽

Guangming Lu ◽

Yicong Zhou

Keyword(s):

Subspace Clustering ◽

Low Rank ◽

Graph Learning ◽

Rank Tensor

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An accurate prediction method of multiple deterioration forms of tool based on multitask learning with low rank tensor constraint

Journal of Manufacturing Systems ◽

10.1016/j.jmsy.2020.11.018 ◽

2021 ◽

Vol 58 ◽

pp. 193-204

Author(s):

Changqing Liu ◽

Jincheng Ni ◽

Peng Wan

Keyword(s):

Prediction Method ◽

Multitask Learning ◽

Accurate Prediction ◽

Low Rank ◽

Rank Tensor

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TT-TSDF: Memory-Efficient TSDF with Low-Rank Tensor Train Decomposition

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ◽

10.1109/iros45743.2020.9341464 ◽

2020 ◽

Author(s):

Alexey I. Boyko ◽

Mikhail P. Matrosov ◽

Ivan V. Oseledets ◽

Dzmitry Tsetserukou ◽

Gonzalo Ferrer

Keyword(s):

Low Rank ◽

Rank Tensor ◽

Memory Efficient

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Adaptive Dimension-Discriminative Low-Rank Tensor Recovery for Computational Hyperspectral Imaging

International Journal of Computer Vision ◽

10.1007/s11263-021-01481-9 ◽

2021 ◽

Author(s):

Lizhi Wang ◽

Shipeng Zhang ◽

Hua Huang

Keyword(s):

Hyperspectral Imaging ◽

Low Rank ◽

Rank Tensor ◽

Tensor Recovery

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Low Rank Tensor Completion with Poisson Observations

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2021.3059299 ◽

2021 ◽

pp. 1-1

Author(s):

Xiongjun Zhang ◽

Michael Kwok-Po Ng

Keyword(s):

Low Rank ◽

Tensor Completion ◽

Rank Tensor

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Computation of low-rank tensor approximation under existence constraint via a forward-backward algorithm

Signal Processing ◽

10.1016/j.sigpro.2021.108178 ◽

2021 ◽

pp. 108178

Author(s):

Marouane Nazih ◽

Khalid Minaoui ◽

Elaheh Sobhani ◽

Pierre Comon

Keyword(s):

Low Rank ◽

Rank Tensor ◽

Tensor Approximation

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Low-rank tensor completion based on non-convex logDet function and Tucker decomposition

Signal Image and Video Processing ◽

10.1007/s11760-020-01845-7 ◽

2021 ◽

Author(s):

Chengfei Shi ◽

Zhengdong Huang ◽

Li Wan ◽

Tifan Xiong

Keyword(s):

Low Rank ◽

Tensor Completion ◽

Tucker Decomposition ◽

Rank Tensor

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Robust low-rank tensor completion via transformed tensor nuclear norm with total variation regularization

Neurocomputing ◽

10.1016/j.neucom.2020.12.110 ◽

2021 ◽

Vol 435 ◽

pp. 197-215

Author(s):

Duo Qiu ◽

Minru Bai ◽

Michael K. Ng ◽

Xiongjun Zhang

Keyword(s):

Total Variation ◽

Nuclear Norm ◽

Low Rank ◽

Total Variation Regularization ◽

Tensor Completion ◽

Rank Tensor ◽

Tensor Nuclear Norm

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