NMF

First of all, we transform the Euclidean distance model into a sequence of least squares problems, from the non-negativity constrained least squares' KKT conditions we have a linear complementarity problem ( LCP), and then a new algorithm for NMF based on LCP is proposed.

首先我们把欧氏距离模型转化为序列非负最小二乘问题，然后根据非负最小二乘问题的KKT条件转化为线性互补问题，基于线性互补问题我们提出了一种NMF算法。

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Non-negative matrix factorization ( NMF) has been proposed for multivariate data analysis, with non-negativity constraints.

非负矩阵因子分解（non-negative Matrix Factorization，NMF）是对非负数据处理的一种多元统计分析方法。

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Main Components: foliage antidandruff cream, natural olive cream, silk-fibroin, vitamin B 5, NMF and etc.

主要成份: 植物去屑精华 、 天然橄榄精华 、 维丝蛋白 、 维他命原B5、天然保湿因子等.

The algorithm uses the NMF algorithm for multi-spectral image pre-processing to obtain high image quality.

该算法采用NMF算法对多光谱图像进行预处理，以获得较高的图像质量。

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Topic Classification of Chinese Document Based on NMF

基于非负矩阵分解的中文文本主题分类

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Analyzing the advantages and disadvantages of the NMF model.

分析了NMF模型的优点和不足之处。

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During potted plant inoculated by pathogenic microbes of wheat scab and gray mold of tomato, when treated by organic fertilizer produced by NMF, the ratio of wheat scab were reduced by 54.2%-59.0% than comparision without fertilizer and compost treatment respectively;

人为接种植物病原菌的盆栽试验中，施用NMF菌剂生产的有机肥处理中，小麦纹枯病发病率比不施肥对照和施用堆肥处理分别低54.2%、59.0%；

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Fusion of PCA and NMF combined with image fusing for face recognition

结合图像融合的PCA与NMF相融合的人脸识别

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Synthetic Aperture Radar Images Target Recognition Based on Wavelet Domain NMF Feature Extraction

基于小波域NMF特征提取的SAR图像目标识别方法

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The local concept semantics vector from NMF has stronger clssification capacity than that of global concept semantics, because the fromer can correspond directly with the sample characteristic, which manifests each classified text respective characteristic.

由于NMF生成的局部概念语义向量能和样本的特征直接对应，体现了各个分类中文本各自的特点，因此比体现所有文本共同特征的全局概念语义向量具有更强的区分能力。

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We combine the NMF method and graph cut theory.

将非负矩阵分解与图分割结合起来。

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A NMF-based Method for Constructing User Profile

基于NMF的用户模板构造方法

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A method based on Nonnegative Matrix Factorization ( NMF) and Hidden Markov Model ( HMM) is proposed in this paper for human behavior recognition.

提出了一种基于非负矩阵分解（NMF）和隐马尔可夫模型（HMM）的人体行为识别的方法。

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