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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.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
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…