搜索资源列表
paper4
- 基于小波变换和二维非负矩阵分解的人脸识别算法.pdf-Based on wavelet transform and two-dimensional non-negative matrix factorization algorithm for face recognition. Pdf
NMF
- nmf 与 lnmf, 非负矩阵分解基本程序-nmf and lnmf， the basic function
dna
- 牛顿算法在非负矩阵分解中的应用，很实用，效率很高-Newton Algorithm in Non-negative Matrix Factorization
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
nmfdb
- 本程序为非负矩阵分解，matlab程序。输入为要分解的矩阵和端元数，输出为分解的结果-this program is suitable for NMF .the input data is the matrix to be decomposed and the number of endmember.output is the result
nmf-mcc
- 最大熵非负矩阵分解用于聚类分析对基因疾病的诊断- nmf by maximzing correntropy f
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
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
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