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20172021
most citedA parallel-in-time two-sided preconditioning for all-at-once system from a non-local evolutionary equation with weakly singular kernel

20 citations · 54 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.LG2021

Co-Separable Nonnegative Matrix Factorization

Junjun Pan, Michael K. Ng

Nonnegative matrix factorization (NMF) is a popular model in the field of pattern recognition. It aims to find a low rank approximation for nonnegative data M by a product of two n…

cs.LG2020

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…

cs.LG20199 cited

Robust Tensor Completion Using Transformed Tensor SVD

Guangjing Song, Michael K. Ng, Xiongjun Zhang

In this paper, we study robust tensor completion by using transformed tensor singular value decomposition (SVD), which employs unitary transform matrices instead of discrete Fourie…

cs.LG2019

Tucker Decomposition Network: Expressive Power and Comparison

Ye Liu, Junjun Pan, Michael Ng

Deep neural networks have achieved a great success in solving many machine learning and computer vision problems. The main contribution of this paper is to develop a deep network b…

cs.LG201714 cited

Exact Tensor Completion from Sparsely Corrupted Observations via Convex Optimization

Jonathan Q. Jiang, Michael K. Ng

This paper conducts a rigorous analysis for provable estimation of multidimensional arrays, in particular third-order tensors, from a random subset of its corrupted entries. Our st…