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基于非负矩阵分解（NMF）的人脸特征提取算法，NMF基本思想是找到一个线性子空间W，使的构成子空间的基本图像的像素点都是正值，而且人脸图像在子空间上的投影系数也是正数-Non-negative Matrix Factorization (NMF) of facial feature extraction algorithm, NMF basic idea is to find a linear sub-space W, so that the composition of sub-space o
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pet analyze image:
a non-negative matrix factorization code for pet analysis
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为了直接对内燃机振动谱图像进行诊断识别，提出一种基于改进变分模态分解（ＶＭＤ）、伪魏格纳时频分
析（ＰＷＶＤ）与局部非负矩阵分解（ＬＮＭＦ）的内燃机振动谱图像识别诊断方法-In order to direct the internal combustion engine vibration spectral image for diagnosis recognition is proposed based on the improved variational mode decomposit
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非负矩阵分解的最新算法的matlab实现，以及多种算法之间的对比，和在图像识别中的应用,实测可用-The latest non-negative matrix factorization algorithm matlab implementation, as well as the contrast between a variety of algorithms and image recognition applications, the measured available
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DNMF在matlab中的实现，基于R语言的示例改写(Discriminant Non-Negative Matrix Factorization aims to extend the Non-negative Matrix Factorization algorithm in order to extract features that enforce not only the spatial locality, but also the separability between classe
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