7 citations · 15 across the 7 of their papers we have counts for
7 papers
Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation
Guangjing Song, Michael K. Ng, Tai-Xiang Jiang
In this paper, we develop a new alternating projection method to compute nonnegative low rank matrix approximation for nonnegative matrices. In the nonnegative low rank matrix appr…
Tensorizing GAN with High-Order Pooling for Alzheimer's Disease Assessment
Wen Yu, Baiying Lei, Michael K. Ng +3
It is of great significance to apply deep learning for the early diagnosis of Alzheimer's Disease (AD). In this work, a novel tensorizing GAN with high-order pooling is proposed to…
Singular Vectors From Singular Values
Weiwei Xu, Michael K. Ng
In the recent paper \cite{1}, Denton et al. provided the eigenvector-eigenvalue identity for Hermitian matrices, and a survey was also given for such identity in the literature. Th…
Orthogonal Nonnegative Tucker Decomposition
Junjun Pan, Michael K. Ng, Ye Liu +2
In this paper, we study the nonnegative tensor data and propose an orthogonal nonnegative Tucker decomposition (ONTD). We discuss some properties of ONTD and develop a convex relax…
Bilinear Constraint based ADMM for Mixed Poisson-Gaussian Noise Removal
Jie Zhang, Yuping Duan, Yue Lu +2
In this paper, we propose new operator-splitting algorithms for the total variation regularized infimal convolution (TV-IC) model [4] in order to remove mixed Poisson-Gaussian(MPG)…
A Fast Algorithm for Cosine Transform Based Tensor Singular Value Decomposition
Wen-Hao Xu, Xi-Le Zhao, Michael Ng
Recently, there has been a lot of research into tensor singular value decomposition (t-SVD) by using discrete Fourier transform (DFT) matrix. The main aims of this paper are to pro…