Background Modeling via RNMF

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A. Kumar, V. Sindhwani, “Near-separable Non-negative Matrix Factorization with l₁ and Bregman Loss Functions”, 2013.

A. Kumar, V. Sindhwani, P. Kambadur, "Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization", Journal of Machine Learning Research, Volume 28, No.1, pages 231-239, 2013.

A. Cichocki, R. Zdunek, A. Phan, S. Amari, "Nonnegative Matrix and Tensor Factorizations Applications To Exploratory Multi-Way Data Analysis And Blind Source Separation", Wiley, September 2009.

H. Woo, H. Park, "Robust Asymmetric Nonnegative Matrix Factorization", Computational and Applied Mathematics Reports, University of California, USA, October 2014.

R. Kannan, G. Ballard, H. Park, "MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization", Preprint, September 2016.