搜索资源列表
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
非负矩阵分解
- LNMF、NMF分解
nmf
- 提供NMF程序，非负矩阵分解 用于人脸图像的表示-lnmf and nmf
NMF
- 该软件可实现传统的NMF非负矩阵分解，希望能对大家有所帮助！-This software can realize non-negative matrix factorization. I hope it is helpful for all of us.
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
nmftoobox
- 该源码工具包能实现矩阵的NMF分解，即矩阵的非负分解，能够用于图形的处理-This code can be used to realize NMF facterization of matrix
face-recognition_NMF_MATLAB
- 人脸识别中常用的NMF，非负因子分解算法，matlab实现-face recognition, NMF, Matlab
NMF1
- 非负矩阵分解和PCA有相同之处，但是具有更好的物理意义。-NMF and PCA have in common, but with better physical meaning.
Nonnegative_matrix_factorization.tar
- Nonnegative_matrix_factorization是实现非负矩阵分解的程序，该算法可以用来进行图像分解和模式识别 -Nonnegative_matrix_factorization is to achieve non-negative matrix factorization procedure, the algorithm can be used for pattern recognition and image decomposition
results
- 非负矩阵分解，分解,数据压缩，文件检索，图像识别-NMF，there is NMF，I am good
Incremental-NMF-by-Serhat-S
- 由外国专家Serhat S. Bucak编写的代码，关于增量式非负矩阵分解，还有例子，比较好用。-The code, written by foreign experts Serhat S. Bucak incremental non-negative matrix factorization, there are examples of relatively easy to use.
nmf
- 基于非负矩阵分解（NMF）的人脸特征提取算法，其基本思想是找到一个母性子空间，是的构成子空间的基图像的像素点都是正值-algorithm of NMF of face detection by matlab
ADMNMF
- 基于交替方向乘子法的非负矩阵分解算法，主要用于盲分离-Alternating direction multiplier method based on non-negative matrix factorization algorithm, mainly used for blind source separation
cNSCT--image-fusion-
- NSCT和非负矩阵分解的图像融合方法_李美丽- the NSCT and nonnegative matrix _ Li Meili decomposition of image fusion method
NMF-NMF-SQ-Hashing
- 通过强大和安全的形象散列 非负矩阵因式分解，在信息取证与安全，376-390，2007年IEEE交易。NMF-NMF-SQ哈希- V. Monga, and M. K. Mihcak, Robust and secure image hashing via non-negative matrix factorizations, IEEE Transactions on Information Forensics and Security, 2(3), 376-390, 2007.
CNMF
- 通过耦合非负矩阵分解，实现高光谱和多光谱图像分类-Coupled Nonnegative Matrix Factorization for HSI and MSI Fusion
NMF
- 基于非负矩阵分解理论，实现多源的图像融合-Based on non-negative matrix decomposition theory, to achieve image fusion of multi-source
NMF_picture
- 非负矩阵分解，对原始图像进行特征提取，也可用于去噪等。-nonegative matrix factorization
IOTFS
- 一个新的数学和算法框架的无监督图像分割。描述了一个灵活的分割框架，利用现有的工作，非负矩阵分解和图像去卷积。合成纹理的马赛克和真正的组织学图像。-Unsupervised image of a new mathematical and algorithmic framework segmentation. It describes a flexible framework segmentation, use of the existing work, NMF and image deconvol
NMF
- 非负矩阵分解，经典nmf算法，c语言实现，下载压缩包后直接解压即可-Non negative matrix factorization, the classic NMF algorithm, C language to achieve, download the compressed package can be directly extracted