Yaotang Li

According to our database1, Yaotang Li authored at least 27 papers between 2007 and 2023.

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Bibliography

2023
Robust low-rank tensor completion via new regularized model with approximate SVD.
Inf. Sci., June, 2023

2022
Manifold Regularization Nonnegative Triple Decomposition of Tensor Sets for Image Compression and Representation.
J. Optim. Theory Appl., 2022

Asymmetric strategy setup solve the Prisoner's Dilemma of the evolution of mutualism.
Appl. Math. Comput., 2022

2021
A Fast Tensor Completion Method Based on Tensor QR Decomposition and Tensor Nuclear Norm Minimization.
IEEE Trans. Computational Imaging, 2021

Programmable sufficient conditions for the strong ellipticity of partially symmetric tensors.
Appl. Math. Comput., 2021

2020
Note on error bounds for linear complementarity problems of Nekrasov matrices.
Numer. Algorithms, 2020

An iterative algorithm based on strong H-tensors for identifying positive definiteness of irreducible homogeneous polynomial forms.
J. Comput. Appl. Math., 2020

2019
M-eigenvalue inclusion intervals for a fourth-order partially symmetric tensor.
J. Comput. Appl. Math., 2019

<i>C</i>-eigenvalues intervals for piezoelectric-type tensors.
Appl. Math. Comput., 2019

2018
Tensor Rank Preserving Discriminant Analysis for Facial Recognition.
IEEE Trans. Image Process., 2018

Error bounds for linear complementarity problems of S-Nekrasov matrices and B-S-Nekrasov matrices.
J. Comput. Appl. Math., 2018

2017
Programmable criteria for strong ℋ-tensors.
Numer. Algorithms, 2017

New error bounds for linear complementarity problems of Nekrasov matrices and B-Nekrasov matrices.
Numer. Algorithms, 2017

2016
Tensor Manifold Discriminant Projections for Acceleration-Based Human Activity Recognition.
IEEE Trans. Multim., 2016

Person Re-Identification by Dual-Regularized KISS Metric Learning.
IEEE Trans. Image Process., 2016

Improvements on the infinity norm bound for the inverse of Nekrasov matrices.
Numer. Algorithms, 2016

Weakly chained diagonally dominant B-matrices and error bounds for linear complementarity problems.
Numer. Algorithms, 2016

Minimal Geršgorin tensor eigenvalue inclusion set and its approximation.
J. Comput. Appl. Math., 2016

Note on error bounds for linear complementarity problems for B-matrices.
Appl. Math. Lett., 2016

Deep Similarity Feature Learning for Person Re-identification.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Deep Neural Networks with Relativity Learning for facial expression recognition.
Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops, 2016

2014
New eigenvalue inclusion sets for tensors.
Numer. Linear Algebra Appl., 2014

Criterions for the positive definiteness of real supersymmetric tensors.
J. Comput. Appl. Math., 2014

A New Upper Bound on the Infinity Norm of the Inverse of Nekrasov Matrices.
J. Appl. Math., 2014

Some new preconditioned generalized AOR methods for generalized least-squares problems.
Int. J. Comput. Math., 2014

2013
The Diagonally Dominant Degree and Disc Separation for the Schur Complement of Ostrowski Matrix.
J. Appl. Math., 2013

2007
Generalized AOR methods for linear complementarity problem.
Appl. Math. Comput., 2007


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