搜索资源列表
NMFLABSP_ver1.2.zip
- 盲源分离算法中，另一新的理论，非负矩阵分解（NMF）。数据包中有代码及GUI,Blind source separation algorithm, another new theory, non-negative matrix factorization (NMF). Packet has the code and GUI
NMF
- 非负矩阵分解的人脸识别NMF 可正常运行 算法源码-Non-negative matrix factorization NMF for face recognition algorithms can be the normal operation of source
code
- 基于非负矩阵分解的语音分离方法，matlab实现-NMF-based speech separation method, matlab implementation
UCA_SMI
- QR分解SMI算法的目的正是要避免直接来解线性方程，而是将自相关矩阵分解，并利用Givens旋转实现数据矩阵的QR分解，最终将权矢量的求解问题转化为三角线性方程组的求解问题。-QR decomposition SMI algorithm, whose objective it is to avoid directly to solution of linear equations, but will auto-correlation matrix decomposition, and the u
CLAPACK3-Windows
- LAPACK是用Fortran90和规定套路解决系统同步线性方程组，最小二乘解线性方程组，特征值问题，以及奇异值问题。相关的矩阵分解（陆，乔莱斯基，快速反应，分解，舒尔，广义Schur ）也提供了，因为有关的计算，如重新安排的舒尔分解和估计条件号码。致密带状矩阵的处理，而不是一般稀疏矩阵。在所有领域，类似的功能是提供真正的和复杂的矩阵，在单，双精度-LAPACK is written in Fortran90 and provides routines for solving systems o
chap_3
- 矩阵运算，适合初学者学习。包括矩阵函数矩阵分解特征值分析等-Matrix operations, suitable for beginners to learn. Including the matrix function matrix eigenvalue decomposition analysis, etc.
PIE1
- 基于双权重非负矩阵分解的人脸识别Matlab code-double weight NMF for face recognition
nmf.tar
- 非负矩阵分解程序，里面包含了全面的相关资料和程序代码。-Non-negative matrix factorization program
DISCRIMINANTSPARSENONNEGATIVEMATRIXFACTORIZATION.r
- 判别稀疏非负矩阵分解，提出这个新算法，来进行人脸识别，比传统的NMF和一些其他的扩展算法效果好-Sparse non-negative matrix factorization judge proposed the new algorithm for face recognition, than the traditional extension of NMF algorithm and some other good results
Decomposition_QR
- QR分解法是三种将矩阵分解的方式之一。这种方式，把矩阵分解成一个正交矩阵与一个上三角矩阵的积。QR 分解经常用来解线性最小二乘法问题。QR 分解也是特定特征值算法即QR算法的基础。-QR decomposition are the three ways of decomposition of the matrix. In this way, the matrix decomposition into an orthogonal matrix and an upper triangular mat
LU_DecomME1
- MATLAB 数值分析，矩阵分解实例，LU分解-MATLAB numerical analysis, matrix factorization example, LU decomposition
非负矩阵分解
- 盲信号分离中的非负矩阵分解，高光谱图像解混等等。
LU分解-matlab
- matlab 输入矩阵 实现矩阵LU分解
nmf
- 非负矩阵分解，处理合成孔径雷达图像，数据处理(The multichannel or wide-angle imaging performance of synthetic aperture radar (SAR) can be improved by applying the compressed sensing (CS) theory to each channel or sub-aperture image formation independently.)
cholesky
- cholesky分解是用于将一个对称正定的矩阵分解为一个上三角与一个下三角矩阵乘积的形式，可运用于回归系数求解，线性方程组求解中 逐步回归是在回归分析的建模过程中用于变量筛选的有效方法，这里同时进行了向前和向后回归，效果更加显著(Cholesky decomposition is used to decompose a symmetric positive definite matrix into an upper triangle and a lower triangular matrix
NMF
- 用于非负矩阵分解的程序，包含C程序、MATLAB程序(NMF algorithm % Check that we have non-negative data)
QRdecomposition
- QR 分解，包括householder 变换，用于矩阵分解，最小二乘法(QR decomosition including householder transform, you can use it to solve least square problem.)
FM algorithm
- 因子分解机( FM)算法是一种基于矩阵分解的机器学习算法，是一种常用的推荐算法。(Factorization algorithm is a matrix-based machine learning algorithm, which is a commonly used recommendation algorithm.)
NMF
- 实现非负矩阵分解的程序，适合提取非负信号的特征值(A program for non negative matrix factorization, Suitable for extracting the eigenvalues of non negative signals)
Cochleagram ISNMF2D
- 数据矩阵运用非负矩阵分解算法，分解得到两个低维矩阵，并用于信号分离。(The data matrix is decomposed into two low-dimensional matrices by non-negative matrix decomposition algorithm and used for signal separation.)