搜索资源列表
NMF_Fusion
- 一个基于NMF算法的影像融合算法，速度很快。NMF算法也是一种正交分解的算法，关于NMF曾发表在05年的科学杂志上，在那篇文章里是用来识别文字的。这里上传的程序是用来进行影像融合的，还附带有试验用的图片。-an algorithm based on the image fusion algorithms, very fast. An algorithm is NMF orthogonal decomposition algorithm
nmfpack
- 用于人脸识别的NMF分解程序，用MATLAB编写的-face recognition for the NMF decomposition process, the preparation of MATLAB
nmf
- Code to run the Non-negative Matrix Factorization algorithm as presented in the Lee, Seung 1999 Nature paper.
非负矩阵分解
- LNMF、NMF分解
nmftp
- 用NMFTP编写下载程序的源代码 如果需要欢迎下载，适用下载程序。-prepared with NMFTP download the source code if the need to welcome the download, download the application procedures.
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_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 -Non-negative Matrix Factorization technique (Nonnegtive Matrix Factorization a signal or image feature extraction methods can also be used for image comp
NMFs-LDA
- 基于NMFs（非负矩阵稀疏分解）和LDA（线性辨别分析），是一种新的雷达目标一维距离像识别方法。-Based on NMFs (non-negative matrix sparse decomposition) and LDA (linear analysis to identify), is a new radar target range profile identification methods.
nmf_toolbox_ver1.4
- 非负矩阵分解的matlab代码，内容全！希望对大家有用-Non-negative Matrix Factorization of matlab code, the contents of the whole! Hope useful for everyone
nmfpack
- NMFs算法（带稀疏度约束的非负稀疏矩阵分解）用于实现基于人脸局部特征的人脸识别，通过近似的矩阵分解进行空间降维。-NMFS algorithm (sparse with degree-constrained non-negative sparse matrix factorization) for the realization of human faces based on local features of face recogn
ogrady2007_phd
- 国外欠定语音盲分离的博士论文，作者为Paul D. O’Grady，LOST算法的作者。该博士论文包括语音信号分离，非负矩阵分解等内容。-Sparse Separation of Under-Determined Speech Mixtures，A dissertation submitted for the degree of Doctor of Philosophy
NoteOnsetDetectionUsingNMF
- 一个音符起点检测程序，其中使用了非负矩阵分解以提取特征减少运算量-NOTE ONSET DETECTION USING NMF
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
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
NMF算法
- 主要实现非负矩阵的有效分解，其中有详细的解释，以及什么样的矩阵才能适合该算法(realize the matrix factorization with non-negative matrix)
nmf代码
- 实现多种非负矩阵分解方法，包括交替最小二乘以及改进的交替非负最小二乘法(Implementation of a variety of non negative matrix decomposition methods)
Clustering
- 对数据进行归类，采用了k-means,NMF以及谱聚类三种方法。其中， 谱聚类的效率比较低下。(Classify the data, using the k-means, NMF and spectral clustering three methods. Among them, the relatively low efficiency of spectral clustering.)
NMF_bss
- nmf盲源分离，使用欠定的方法，可以用来分离两路语音信号，人声与其他音的分离(nmf_bss.The underdetermined method can be used to separate two voice signals, human voice and other voices.)