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    Non-negative Matrix Factorization with Pairwise Constraints and Graph Laplacian

    Non-negative matrix factorization (NMF) is a very effective method for high dimensional data analysis, which has been widely used in information retrieval, computer vision, and pattern recognition. NMF aims to...

    Yang-Cheng He, Hong-Tao Lu, Lei Huang, **ao-Hua Shi in Neural Processing Letters (2015)