41 citations · 41 across the 9 of their papers we have counts for
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stat.ML2019
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…
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.LG2019★ 41 cited
Generalized Separable Nonnegative Matrix Factorization
Junjun Pan, Nicolas Gillis
Nonnegative matrix factorization (NMF) is a linear dimensionality technique for nonnegative data with applications such as image analysis, text mining, audio source separation and…