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In this paper, we propose a General Non-negative Matrix Factorization based on the left Semi-Tensor Product (lGNMF) and the General Non-negative Matrix Factorization based on the right Semi-Tensor Product (rGNMF), which factorize an input non-negative matrix into two non-negative matrices of lower ranks based on gradient method. In particular, the proposed models are able to remove the dimension matching...
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