搜索资源列表
NMF
- 非负矩阵分解的相关程序，适合初级学习者，希望有用。-Of the processes associated with nonnegative matrix decomposition, suitable for junior learners, hope useful
nmf_Lee_Seung
- 该源码是用于对非负矩阵进行分解的nmf_Lee_Seung算法，算法经典，易理解。-The source code is used nmf_Lee_Seung algorithm, the classical algorithm for non-negative matrix decomposition and easy to understand.
xyj
- 一个很简单的非负矩阵分解算法 可用于特征降维等 采用了最基础的判断准则 非常容易理解 只适用于初学者理解 算法步骤-A very simple non-negative matrix factorization algorithm can be used for feature dimensionality reduction, etc. using the most basic criterion applies only to a very easy to understand for be
nmf
- 非负矩阵分解（NMF）的一种实现算法，非常好用的方法-Non-negative matrix factorization (NMF) is an implementation of the algorithm, a very handy way
NeNMF
- 非负矩阵分解的一种新方法——Nesterov法，这种方法提出不久，实现的结果很不错-NMF is a new method--Nesterov method, this method is presented shortly to achieve very good results
NMFLAB
- 非负矩阵分解在矩阵计算中具有重要意义，这是NMF非负矩阵分解实验室完整代码。-non-negtive resolution
NMF
- 非负矩阵分解，可以用于语音分离等，参考文献：N. Mohammadiha, P. Smaragdis and A. Leijon, “Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization,” IEEE Trans. Audio, Speech, and Language Process., vol. 21, no. 10, pp. 2140–2151, oct. 2013
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.
nfm
- 简单的非负矩阵分解算法，实现图片的重构，迭代次数越大，越接近原图-Simple non-negative matrix factorization algorithm, the reconstruction of the picture, the greater the number of iterations, the closer to the original image
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
- 非负矩阵分解，将一个非负矩阵分解成两个非负矩阵的乘积-non-negative matrix factorization
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_nature
- 非负矩阵分解NMF，发表在自然杂志上的的完整实现代码-Non-negative matrix factorization ，complete code
nmf
- NMF（Non-negative Factorization） 非负矩阵分解程序， 可直接调用 -NMF（Non-negative Factorization）
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
orldata-and-ONMF
- 正交非负矩阵分解，适合做非负矩阵分解的用，能得到更稀疏和更正交的基特征-Orthogonal nonnegative matrix factorization，Suitable for use NMF, can be more sparse and correct post basis vectors
nmfpack
- 非负矩阵，可用于对高维矩阵的分解，且分解出来的矩阵有非负的特性。-Non-negative matrix, can be used for high-dimensional matrix decomposition, and the decomposition of the matrix has a non-negative characteristic.
NMF-matlab
- nmf即是非负矩阵分解，就是把一个非负的源矩阵分解为两个非负的矩阵，在光谱解混中用的较多。-nmf that is non-negative matrix factorization, it is the source of a non-negative matrix factorization of two non-negative matrix, more mixed with the solution in the spectrum.
NMF
- 用matlab实现的基于非负矩阵分解NMF的聚类算法，已测试通过-NMF decomposition using clustering algorithm based on non-negative matrix matlab achieved, have been tested
NMF-matrix
- 《非负矩阵分解算法概述》本文为科普文章，尽量做到通俗而不严格，比较适合理论小白补补NMF历史 - NMF algorithm Overview This article science articles, as far as possible without stringent popular, more suitable theoretical white Bubu NMF history