搜索资源列表
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。
ceshi4
- 非负矩阵应用于电能质量中的程序，用于谐波检测，构造和分解基本谐波-Non-negative matrix used in the power quality program for harmonic detection, the basic harmonic structure and decomposition
nmfmse
- nmf算法的一个简单代码实现，将一个矩阵分解成两个非负矩阵的乘积。-NMF algorithm a simple code realized, will a matrix is decomposed into two nonnegative matrices of the product.
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.
Lin_nmf
- 非负矩阵分解的matlab代码及相关文章，个人感觉很有用，可以参考一下-matlab code and paper of nmf
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
nmf.py
- 非负矩阵分解，经典nmf算法，python实现，下载压缩包后直接解压即可-Non negative matrix factorization, the classic NMF algorithm, python language to achieve, download the compressed package can be directly extracted
nmf-1.01
- 一个简易的可运行的非负矩阵分解matlab程序，进一步修改可以用于大规模矩阵非负分解计算，特征提取等-A simple non-negative matrix decomposition matlab program that can be run, further modifications can be used for large scale non-negative matrix decomposition calculations, feature extraction
MLNMF_Demo
- matlab——多层非负矩阵分解光谱解混代码-Spectral Unmixing of Hyperspectral Imagery Using Multilayer NMF
voice_activity_detection_full
- 本文提出了一种基于非负矩阵分解的方法来执行语音活动检测，其不需要来自用户的训练数据，并且对于中的变化是鲁棒的噪声环境。- This paper has presented a method based on non-negative matrix factorization for performing voice activity detection that requires no training data the user and is robust to changes in
nmf-jianhua
- 非负矩阵分解，测试cbcl,orl,swimmer数据集程序，画图程序-NMF, test cbcl, orl, swimmer data collection program, drawing program
qqqqq
- 为了直接对内燃机振动谱图像进行诊断识别，提出一种基于改进变分模态分解（ＶＭＤ）、伪魏格纳时频分 析（ＰＷＶＤ）与局部非负矩阵分解（ＬＮＭＦ）的内燃机振动谱图像识别诊断方法-In order to direct the internal combustion engine vibration spectral image for diagnosis recognition is proposed based on the improved variational mode decomposit
NeNMF_code
- 非负矩阵分解的最新算法的matlab实现，以及多种算法之间的对比，和在图像识别中的应用,实测可用-The latest non-negative matrix factorization algorithm matlab implementation, as well as the contrast between a variety of algorithms and image recognition applications, the measured available
实验6_NMF-ICA
- 实现非负矩阵分解算法和独立成分分析，得到遥感遥感图像解混结果(The non negative matrix factorization algorithm and independent component analysis are implemented to get the unmixing results of remote sensing images)
nmf-master
- 非负矩阵分解算法()
image-fusion
- 基于非负矩阵分解和小波变换的图像分解与重构(Image decomposition and reconstruction based on nonnegative matrix decomposition and wavelet transform)
NMF
- 在标准的非负矩阵分解目标函数中加入坐标排序正则化算子，以模型为基准构造非负矩阵分解(Adding coordinate ordering regularization operator in standard nonnegative matrix decomposition objective function)
GNMF
- 图正则化的非负矩阵分解 matlab 代码(Graph regularization of nonnegative matrix factorization. matlab code.)
RMNMF
- 非负矩阵分解，聂飞平老师再2014年发表的Robust Manifold Nonnegative Matrix Factorization文中提出的算法(A Robust Manifold Nonnegative Matrix Factorization algorithm was proposed by teacher nie feiping in 2014)
data_batch_2
- cifar-10数据集由10个类的60000个32x32彩色图像组成，每个类有6000个图像。有50000个训练图像和10000个测试图像。数据集分为五个训练批次和一个测试批次，每个批次有10000个图像。测试批次包含来自每个类别的恰好1000个随机选择的图像。训练批次以随机顺序包含剩余图像，但一些训练批次可能包含来自一个类别的图像比另一个更多。总体来说，五个训练集之和包含来自每个类的正好5000张图像。 具体：batch2.mat文件，该训练集可以用于图片识别，非负矩阵分解等。(The ci