1) constrained nonnegative matrix factorization
约束的非负矩阵分解
2) Factorizations of Nonnegative Matrices
非负矩阵的分解
3) 3bNMF
3个二进制约束非负矩阵分解
1.
Based on Lee and Seung\'s NMF,3bNMF method is proposed by considering binary constraints for factorized base matrix,presentation matrix and restoration matrix.
在普通非负矩阵分解(NMF)方法基础上提出了3个二进制约束非负矩阵分解(3bNMF)算法,对分解矩阵和恢复矩阵元素增加了二进制数的约束,从而更适合对二进制数据进行处理。
4) Non-negative matrix factorization
非负矩阵分解
1.
Application of Non-negative Matrix Factorization to romote sensing image fusion;
非负矩阵分解在遥感图像融合中的应用
2.
Blind sources separation based on non-negative matrix factorization;
基于非负矩阵分解算法进行盲信号分离
3.
Image classification based on non-negative matrix factorization and adjacency spectra;
基于非负矩阵分解与邻接谱的图像分类
5) nonnegative matrix factorization
非负矩阵分解
1.
We presented a generalized Kullback-Leibler cost function,and derived a new nonnegative matrix factorization algorithm based on scaled gradient desent method.
给出一种广义的Kullback-Leibler代价函数,基于调比梯度下降法得到新的非负矩阵分解算法。
2.
An algorithm with regularization constrains for nonnegative matrix factorization(RCNMF) is proposed.
提出一种带有正则约束的非负矩阵分解算法(RCNMF)。
3.
Inspired by the nonnegative matrix factorization algorithm, we put forward an fuzzy text clustering method based on nonnegative factor analysis.
本文借助于非负矩阵分解算法,提出了一种基于非负因子分析的模糊文本聚类方法。
6) non-negative matrix factorization(NMF)
非负矩阵分解
1.
A non-negative matrix factorization(NMF) based latent semantic indexing(LSI) model was introduced for image retrieval.
提出了一种基于非负矩阵分解(Non-negative Matrix Factorization,NMF)的隐含语义索引(Latent Semantic Indexing,LSI)模型用于图像检索。
2.
The initialization of Non-negative Matrix Factorization(NMF) has studied in this paper.
对非负矩阵分解的初始化进行研究,提出针对文本分类的主成分分析(PCA)、有监督PCA(SPCA)和模糊C平均3种初始化方法并进行了实验。
3.
A novel supervised feature extraction method based on non-negative matrix factorization(NMF) was proposed.
基于非负矩阵分解理论,提出一种新的有监督的特征提取方法,它具有二个特点:一是在特征提取过程中它直接利用训练样本的类别信息,二是在计算上仍然采用与非负矩阵分解方法相同数学公式,因此这种新特征提取方法被称为组合类别信息的非负矩阵分解(CINMF)方法。
补充资料：[3-(aminosulfonyl)-4-chloro-N-(2.3-dihydro-2-methyl-1H-indol-1-yl)benzamide]
分子式：C16H16ClN3O3S
分子量：365.5
CAS号：26807-65-8
性质：暂无
制备方法：暂无
用途：用于轻、中度原发性高血压。
分子量：365.5
CAS号：26807-65-8
性质：暂无
制备方法：暂无
用途：用于轻、中度原发性高血压。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条