Robust semi-supervised nonnegative matrix factorization for image clustering
Nonnegative matrix factorization (NMF) is a powerful dimension reduction method, and has received increasing attention in various practical applications. However, most traditional NMF based algorithms are sensitive to noisy data, or fail to fully utilize the limited supervised information. In this p...
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語言: | English |
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2022
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在線閱讀: | https://hdl.handle.net/10356/161282 |
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