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  1. No Access

    Article

    Nonnegative matrix factorization with manifold regularization and maximum discriminant information

    Nonnegative matrix factorization (NMF) has been successfully used in different applications including computer vision, pattern recognition and text mining. NMF aims to decompose a data matrix into the product ...

    Wenjun Hu, Kup-Sze Choi, Jianwen Tao… in International Journal of Machine Learning … (2015)

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    Article

    A kernel learning framework for domain adaptation learning

    Domain adaptation learning (DAL) methods have shown promising results by utilizing labeled samples from the source (or auxiliary) domain(s) to learn a robust classifier for the target domain which has a few or...

    JianWen Tao, FuLai Chung, ShiTong Wang in Science China Information Sciences (2012)