activity
20182022
most citedAdvanced Variations of Two-Dimensional Principal Component Analysis for Face Recognition

3 citations · 6 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV20222 cited

Quasi Non-Negative Quaternion Matrix Factorization with Application to Color Face Recognition

Yifen Ke, Changfeng Ma, Zhigang Jia +2

To address the non-negativity dropout problem of quaternion models, a novel quasi non-negative quaternion matrix factorization (QNQMF) model is presented for color image processing…

math.NA20201 cited

A contribution to condition numbers of the multidimensional total least squares problem with linear equality constraint

Qiaohua Liu, Zhigang Jia, Yimin Wei

This paper is devoted to condition numbers of the multidimensional total least squares problem with linear equality constraint (TLSE). Based on the perturbation theory of invariant…

math.NA2020

The Multi-Symplectic Lanczos Algorithm and Its Applications to Color Image Processing

Zhigang Jia, Xuan Liu, Mei-Xiang Zhao

Low-rank approximations of original samples are playing more and more an important role in many recently proposed mathematical models from data science. A natural and initial requi…

cs.CV20193 cited

Advanced Variations of Two-Dimensional Principal Component Analysis for Face Recognition

Meixiang Zhao, Zhigang Jia, Yunfeng Cai +2

The two-dimensional principal component analysis (2DPCA) has become one of the most powerful tools of artificial intelligent algorithms. In this paper, we review 2DPCA and its vari…

cs.CV2019

Relaxed 2-D Principal Component Analysis by Norm for Face Recognition

Xiao Chen, Zhi-Gang Jia, Yunfeng Cai +1

A relaxed two dimensional principal component analysis (R2DPCA) approach is proposed for face recognition. Different to the 2DPCA, 2DPCA- and G2DPCA, the R2DPCA utilizes the l…

cs.CV2018

Sample-Relaxed Two-Dimensional Color Principal Component Analysis for Face Recognition and Image Reconstruction

Meixiang Zhao, Zhigang Jia, Dunwei Gong

A sample-relaxed two-dimensional color principal component analysis (SR-2DCPCA) approach is presented for face recognition and image reconstruction based on quaternion models. A re…