Description: Code to run the Non-negative Matrix Factorization algorithm as presented in the Lee, Seung 1999 Nature paper. Platform: |
Size: 1211392 |
Author:chenjiawei |
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Description: 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 compression Platform: |
Size: 1024 |
Author:邹晶 |
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Description: 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 Platform: |
Size: 499712 |
Author:hefei |
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Description: 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 recognition, through approximate matrix factorization space dimensionality reduction. Platform: |
Size: 23336960 |
Author:heying |
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Description: 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-Non-negative Matrix Factorization (NMF) of facial feature extraction algorithm, NMF basic idea is to find a linear sub-space W, so that the composition of sub-space of the basic image pixels are positive, and face image in the sub-space projection coefficient is positive Platform: |
Size: 1024 |
Author:李伟 |
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Description: 很不错的NMF代码！里面对NMF做了一个非常巧妙的非负限制.-NMF code is very good! NMF done inside of a very clever non-negative constraints. Platform: |
Size: 230400 |
Author: |
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Description: 非负矩阵分解的人脸识别NMF 可正常运行 算法源码-Non-negative matrix factorization NMF for face recognition algorithms can be the normal operation of source Platform: |
Size: 2269184 |
Author:jane |
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Description: 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 Platform: |
Size: 1024 |
Author:刘文娅 |
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Description: 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. Platform: |
Size: 6144 |
Author:马少平 |
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Description: 用于提取EMG/MMG/ECG信号的频谱分析的特征量MATLAB代码，采用的算法是非负分解（NNMF）。-This program is designed to extract the feature of EMG/MMG/ECG signal in hand motions via the non-negative matrix factorization algorithm. Platform: |
Size: 8192 |
Author:zy |
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Description: 菜登和何晓飞, 2010的PAMI
基于图的非负矩阵分解的paper极其matlab代码。这篇文章在非负矩阵分解中巧妙地加入了流形约束，并推导出了相应的迭代公式。-He Xiaofei Teng and vegetables, 2010 PAMI graph-based non-negative matrix factorization of the paper is extremely matlab code. This article in the non-negative matrix factorization in the cleverly joined the manifold constraints, and derive the corresponding iterative formula. Platform: |
Size: 565248 |
Author:zihanhuang |
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Description: 机器学习matlab源代码，包括多分类SVM，模式识别，特征选择，回归等算法。-The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with, e.g model selection, statistical tests and visual plots.
Core library objects
wilcoxon
Wilcoxon object- significance test of results
joint_kernel
Joint kernel object- for calculating inner products in joint feature spaces
joint_data
Joint_data object
corrt_test
corrected resampled t-test object- significance test of results
Unsupervised objects
spectral
Spectral clustering
ppca
Probabilistic Principal Components Analysis
nmf
Non-negative Matrix Factorization object
mrank
Manifold Ranking
Density Estimation objects
indep
Feature selection by independent density estimation
Feature Selection objects
r2w2_sel
Feature scaling/selection via SVMs and r^2/w^2 bound.
nfe
Non-Linear Feature Elimination
mutin Platform: |
Size: 212992 |
Author:刘阳 |
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Description: matlab源代码，是非负矩阵分解工具箱，包含乘法更新，最小二乘约束，投影梯度法等方法-Usage:
[W,H] = nmf(X,K,alg,maxiter,speak)
W: output matrix
H: output matrix
X: input matrix
K: number of components
alg: algorithm to use
maxiter: maximum number of iterations
speak: print to screen
Algorithms:
mm: Multiplicative updates method using euclidean distance measure.
cjlin: Projected gradient method
prob: Probabilistic non-negative matrix factorization.
als: Alternating least squares.
alsobs: Alternating least squares with optimal brain surgeon.
Demonstrations:
PET: NMF on a PET dataset
Text: NMF used on a three different datasets Email, medical, and CNN.
Algorithms
mm: Multiplicative update method using euclidean distance measure.
Described in Lee and Seung, 2001, Algorithms for Non-negative Matrix Factorization, Advances in Neural Information Processing Systems 13, 556-562. This algorithm is the most commonly used algorithm to solve NMF.
cjlin: Alternative non-negative least squares using projected gradients.
Author: Chih-Je Platform: |
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Author:沈猴子 |
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Description: 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. Platform: |
Size: 1024 |
Author:chengjing |
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Description: 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 Platform: |
Size: 4153344 |
Author:张星宇 |
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Description: DNMF在matlab中的实现，基于R语言的示例改写(Discriminant Non-Negative Matrix Factorization aims to extend the Non-negative Matrix Factorization algorithm in order to extract features that enforce not only the spatial locality, but also the separability between classes in a discriminant manner.) Platform: |
Size: 1024 |
Author:leonmakise |
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Search - non-negative matrix factorization matlab