Guang-Jing Song

Tai-Xiang Jiang

IEEE Trans. Knowl. Data Eng., November, 2023

Nonnegative low rank tensor approximations with multidimensional image applications.

[BibT_eX]

[DOI]

Numerische Mathematik, 2023

Riemannian conjugate gradient descent method for fixed multi rank third-order tensor completion.

[BibT_eX]

[DOI]

Xue-Zhong Wang

J. Comput. Appl. Math., 2023

2022

Correction to: An Approximate Augmented Lagrangian Method for Nonnegative Low-Rank Matrix Approximation.

[BibT_eX]

[DOI]

Hong Zhu

J. Sci. Comput., 2022

2021

Low Rank Pure Quaternion Approximation for Pure Quaternion Matrices.

[BibT_eX]

[DOI]

Weiyang Ding

SIAM J. Matrix Anal. Appl., 2021

An Approximate Augmented Lagrangian Method for Nonnegative Low-Rank Matrix Approximation.

[BibT_eX]

[DOI]

Hong Zhu

J. Sci. Comput., 2021

Fully-Connected Tensor Network Decomposition for Robust Tensor Completion Problem.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Robust tensor completion using transformed tensor singular value decomposition.

[BibT_eX]

[DOI]

Xiongjun Zhang

Numer. Linear Algebra Appl., 2020

On O( max {n1, n2} log ( max {n1, n2} n3)) Sample Entries for n1 × n2 × n3 Tensor Completion via Unitary Transformation.

[BibT_eX]

[DOI]

Xiongjun Zhang

CoRR, 2020

Nonnegative Low Rank Tensor Approximation and its Application to Multi-dimensional Images.

[BibT_eX]

[DOI]

CoRR, 2020

Fast Alternating Projections on Manifolds Based on Tangent Spaces.

[BibT_eX]

[DOI]

CoRR, 2020

Nonnegative low rank matrix approximation for nonnegative matrices.

[BibT_eX]

[DOI]

Appl. Math. Lett., 2020

2019

Robust quaternion matrix completion with applications to image inpainting.

[BibT_eX]

[DOI]

Zhigang Jia

Numer. Linear Algebra Appl., 2019

Lanczos method for large-scale quaternion singular value decomposition.

[BibT_eX]

[DOI]

Zhigang Jia

Numer. Algorithms, 2019

Robust Tensor Completion Using Transformed Tensor SVD.

[BibT_eX]

[DOI]

Xiongjun Zhang

CoRR, 2019

2018

Nonnegative definite and Re-nonnegative definite solutions to a system of matrix equations with statistical applications.

[BibT_eX]

[DOI]

Shao-Wen Yu

Appl. Math. Comput., 2018

Cramer's rule for a system of quaternion matrix equations with applications.

[BibT_eX]

[DOI]

Shao-Wen Yu

Appl. Math. Comput., 2018

2014

The block independence in the generalized inverse A(2)T, S for some ordered matrices and applications.

[BibT_eX]

[DOI]

Shao-Wen Yu

Appl. Math. Comput., 2014

2012

Determinantal representation of the generalized inverses over the quaternion skew field with applications.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2012

2011

Cramer rule for the unique solution of restricted matrix equations over the quaternion skew field.

[BibT_eX]

[DOI]

Hai-Xia Chang

Comput. Math. Appl., 2011

Condensed Cramer rule for some restricted quaternion linear equations.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2011

2010

Minimal ranks of some quaternion matrix expressions with applications.

[BibT_eX]

[DOI]

Israr Ali Khan

Appl. Math. Comput., 2010

(R, S)-conjugate solution to a pair of linear matrix equations.

[BibT_eX]

[DOI]

Hai-Xia Chang

Appl. Math. Comput., 2010

2008

Rank equalities related to the generalized inverse AT, S(2) with applications.

[BibT_eX]

[DOI]

Chun-Yan Lin

Appl. Math. Comput., 2008

2007

Extreme ranks of the solution to a consistent system of linear quaternion matrix equations with an application.

[BibT_eX]

[DOI]