A fundamental problem of Non-negative Matrix Factorization (NMF) is that it does not always extract basis components manifesting localized features which are essential in face recognition.
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摘要:非负矩阵分解演算法的主要问题为,无法确保产生,对于人脸辨识很重要,具备局部强化特徵的基底。
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