Sounds like a classic matrix factorization task to me.
听起来像是一个经典的矩阵分解我的任务。
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)。
The matrix factorization and its modification is one of the most effective techniques in numerical linear algebra.
矩阵分解的校正技术是数值线性代数中最有效的工具之一。
Non-negative matrix factorization has non-negative and local characteristics, and it is a new feature extraction method.
非负矩阵分解具有非负性和局部性的特点，是一种新型的特征提取方法。
Non-negative matrix factorization (NMF) has been proposed for multivariate data analysis, with non-negativity constraints.
非 负数据处理的一种多元统计分析方法。
In this article, the sparse non-negative matrix factorization algorithm is applied to quantitative predict the mineral resources.
本文主要是论述稀疏非负矩阵分解算法在矿产资源定量预测中的应用研究。
And in the feature extraction process, a new face recognition method based on CSVD and non Negative Matrix Factorization (NMF) is presented.
并在特征提取环节，提出CSVD算法与非负矩阵因子算法特征数据相融合的人脸识别算法。
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。
First, a new type of parameterization equation is constructed based on matrix factorization and the certainty-equivalence adaptive control law is chosen.
为此首先基于矩阵分解构造出新的参数化方程，选取必然等价自适应控制律。
Aim: to study the feasibility and influential factors for the resolution of HPLC-DAD data of chiral drugs by non-negative matrix factorization (NMF) algorithm.
目的：研究非负矩阵因子分解算法(NMF)用于手性药物HPLC - DAD二维数据解析的可行性及其影响因素。
Absrtact: Non - negative matrix factorization (NMF) is a method of parts - based feature extraction, it has been already applied to face recognition successfully.
摘要：非负矩阵分解方法是基于局部特征的特征提取方法，已经成功用于人脸识别。
The decomposed left matrix of Non-negative Matrix Factorization (NMF) is required to be full column rank, which limits of its application to Underdetermined Blind Source Separation (UBSS).
非负矩阵分解（NMF）要求分解得到的左矩阵为列满秩，这限制了它在欠定盲分离（UBSS）中的应用。
The problems are closelurelated with factorization problems for rational matrix functions.
这类问题与矩阵函数因子分解有着密切联系。
A new algorithm of solving circulant block tridiagonal systems is proposed, which is based on the special factorization of circulant block tridiagonal matrix.
本文根据分块循环三对角矩阵的特殊分解，给出了求解分块循环三对角方程组的一种新算法。
Decomposition of dynamic matrix becomes a new research topic as soon as the LP dynamic factorization and kernel matrix came out.
随着线性规划动态分解和核心矩阵的出现，矩阵的动态分解成为了一个新的研究课题。
A new algorithm of solving block tridiagonal systems is proposed, which is based on the special factorization of block tridiagonal matrix.
根据块三对角矩阵的特殊分解，给出了求解块三对角方程组的新算法。
It can avoid approximate factorization or block-bidiagonal matrix, and has obvious superiority in enhancing accuracy, lessening amount of calculation, improving stability.
该方法避开了近似因子分解及矩阵运算，具有精度高、稳定性好、计算量少等优点。
Notice that constructing the ARMA innovation model, a left co-prime factorization to a polynomial matrix must be performed, so that the ARMA innovation model can correctly be obtained.
应注意在构造ARMA新息模型时，必须进行多项式矩阵的左素分解，才能得到正确的ARMA新息模型。
The L-D factorization was also applied into Kalman filter to avoid computing the inverse of matrix, so its stability and precision is improved.
把矩阵分析中的L -D分解算法运用到该算法中以避免计算矩阵的逆，从而改善了算法的稳定性和精度。
In this paper, the factorization of scaling vector filters into prime factors is considered. A construction of bi-orthogonal wavelet matrix with pre-asigned scaling filter is given.
本文研究尺度滤波器的基本分解问题。基于所得结果，对于任意给定的尺度滤波器，给出了双正交小波矩阵的构造方案。
General solutions of above inverse problem in positive definite matrix and in orthogonal matrix are given here by using factorization method of matrix.
本文用矩阵分解法给出该反问题在正定矩阵类及正交矩阵类中的通解。
The relationship between the eigenvalue, eigenvector and the rank of the product of matrices AB and BA is discussed, and the factorization of the singular values of matrix a is obtained.
讨论了矩阵乘积ab与BA的特征值、特征向量及秩等的关系，并得到了矩阵的奇异值分解。
The parameter estimation problem to the invertible vector moving average (ma) model essentially is a matrix spectral factorization problem.
可逆的向量滑动平均(MA)模型参数估计问题本质上是一个矩阵谱分解问题。
If the transform matrix type is a half pixel matrix, then the method includes applying a factorization technique to decode the bit stream corresponding to the half pixel matrix.
若该变换矩阵的类型是半像素矩阵，则该方法应用因子分解技术解码与该半像素矩阵对应的比特流。
If the transform matrix type is a half pixel matrix, then the method includes applying a factorization technique to decode the bit stream corresponding to the half pixel matrix.
若该变换矩阵的类型是半像素矩阵，则该方法应用因子分解技术解码与该半像素矩阵对应的比特流。
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