搜索资源列表
NMF_FeatureGet
- 非负矩阵分解技术（Nonnegtive Matrix Factorization 一种信号或图像的特征提取的方法，也可用于图像压缩
nmf_toolbox_ver1.4
- 非负矩阵分解的matlab代码，内容全！希望对大家有用
nmf
- 基于非负矩阵分解（NMF）的人脸特征提取算法，NMF基本思想是找到一个线性子空间W，使的构成子空间的基本图像的像素点都是正值，而且人脸图像在子空间上的投影系数也是正数
LNMF
- 人工智能模式识别中基于非负矩阵分解生成特征空间的算法-artificial intelligence pattern recognition based on non-negative matrix factorization generation features of the algorithm space
NMF
- LNMF是基于“局部”非负矩阵分解生成特征空间的算法，而NMF是基于非负矩阵分解。-Matrix is based on a "partial" non-negative matrix factorization generation features space algorithm, which is based on the NMF non-negative matrix factorization.
非负矩阵资源
- 非负矩阵分解代码
非负矩阵分解
- LNMF、NMF分解
ear5.rar
- IEEE上关于人耳图像识别的论文：使用改进的非负矩阵分解的人耳识别,Ear Recognition using Improved Non-Negative Matrix Factorization
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
GNMF
- 菜登和何晓飞, 2010的PAMI 基于图的非负矩阵分解的paper极其matlab代码。这篇文章在非负矩阵分解中巧妙地加入了流形约束，并推导出了相应的迭代公式。-He Xiaofei Teng and vegetables, 2010 PAMI graph-based non-negative matrix factorization of the paper is extremely matlab code. This article in the non-negative matrix
a
- 基于非负矩阵分解（NMF）的人脸特征提取算法，NMF基本思想是找到一个线性子空间W，使的构成子空间的基本图像的像素点都是正值，而且人脸图像在子空间上的投影系数也是正数-Non-negative Matrix Factorization (NMF) of facial feature extraction algorithm, NMF basic idea is to find a linear sub-space W, so that the composition of sub-space o
nmf
- 非负矩阵分解法，这一种新型的子空间分解方法，增加了非负性约束，比PCA、ICA更有效-Non-negative matrix factorization method, which a new type of sub-space decomposition method, an increase of non-negative constraint, compared with PCA, ICA is more efficient
nmf_test
- 关于非负矩阵分解的算法c++实现，面向对象实现-Non—negative matrix factorization algriothm with c++ and oop
work
- 非负矩阵分解，代码，非负矩阵具体实现代码-image fusion algorithm based on liftingwavelet transform
nmf
- 这是对于矩阵分解里面，最新出现的一种新的算法：非负矩阵分解的程序-This is the decomposition of the matrix inside, emerging a new algorithm: the procedure of non-negative matrix factorization
nmfsc
- 稀疏约束的非负矩阵分解Non-negative Matrix Factorization with Sparseness Constraints-Non-negative Matrix Factorization with Sparseness Constraints
snmf
- 稀疏非负矩阵分解，稀疏非负矩阵分解（SNMF）在线形稀疏编码理论的基础上将大量数据分解成正稀疏分量的一种算法-SNMF，Sparse non-negative matrix factorization
CONVEXBSS
- 著名教授关于非负矩阵分解的讲义，包括模型、求解、仿真、实际应用情况。特别是生物医学图像处理和卫星图像处理方面。-CONVEX ANALYSIS BASED NON-NEGATIVE BLIND SOURCE SEPARATION AND ITS APPLICATIONS
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.)
uv分解
- 非负矩阵分解算法，采用块坐标下降法，效率更高。用于复杂网络计算。