matrix factorization meaning in Chinese
矩阵因子分解
Examples
- Multivariable robust adaptive backstepping control using matrix factorization
基于矩阵分解的多变量鲁棒自适应反推控制 - Non - negative matrix factorization and its applications to gene expression data analysis
非负矩阵分解及其在基因表达数据分析中的应用 - Secondly , we utilize the nmf ( non - negative matrix factorization ) algorithm to extract human face local feature subspace
然后,对获得的类人脸肤色区域利用nmf ( non - negativematrixfactorization )非负矩阵分解的方法提取人脸局部特征子空间。 - The holistic features are extracted by principal component analysis ( pca ) , and the local features are extracted by non - negative matrix factorization with sparseness constraints ( nmfs )
首先通过主元分析算法( pca )提取全局特征,利用带稀疏限制的非负矩阵分解算法( nmfs )提取局部特征。 - In this thesis , we mainly use snmf ( sparse nonnegative matrix factorization ) as the method of rank reduction , which extend the nmf to include the option to control sparseness explicitly
本文主要采用snmf (非负稀疏矩阵分解)算法作为降维和提取特征向量的工具,该算法是在nmf算法的基础上加上显式地稀疏因子控制而形成的一种非负矩阵分解方法。