搜索资源列表
LLEmultimanifoldlearning.rar
- 基于局部线性嵌入_LLE_非线性降维的多流形学习,是当前人脸识别的新方向,Face Recognition Based on Locally Linear Embedding for Nonlinear Dimensionality Reduction _LLE_ multi-manifold learning
GNMF
- 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
Face-Recognition
- 这是流形学习算法LLE、ISOMAP在人脸识别中的应用，希望对大家有所帮助。-This is a manifold learning algorithms LLE, ISOMAP in face recognition, we want to help.
lle.rar
- LLE算法，matlab源码，LLE算法是流形学习算法的一种,LLE algorithm, matlab source, LLE algorithm manifold learning algorithm is a
SLLE
- 稀疏流形建模及其在人脸识别中的应用论文介绍稀疏理论 以及sparse LLE -Sparse manifold modeling and its application to face recognition paper introduces the theory and sparse LLE sparse
super--resolution
- 超分辨率研究中的ppt资料，有稀疏表示，流形学习框架下的邻域嵌入，对超分辨率研究很有帮助-Ppt super-resolution study of the data, there is sparse, said manifold learning embedded within the framework of the neighborhood, useful for the study of super-resolution
lpp.rar
- 一种很重要的非监督降维方法，是流形学习算法Laplacian Eigenmap 的线性化方法，在人脸识别中效果非常好。,A very important method of unsupervised dimensionality reduction, manifold learning algorithm is Laplacian Eigenmap linearization method is very effective in face recognition.
mani
- 流形学习matlab实现源码，好东西大家一起分享-Manifold learning matlab source code to achieve good things to share with everyone
Dimension-reduction--toolbox
- 该工具箱中包含了多种降维算法。其中有传统的PCA和Local PCA算法，也有典型的流形学习算法，如Isomap、LLE、HLLE、Laplacian Eigenmaps 和 Local Tangent Space 。-The toolbox contains a variety of dimensionality reduction algorithms. In which the traditional PCA and Local PCA algorithms, there are the
ltsa
- 一种用于非线性降维的流形学习算法，主要是先考虑用每一点处的局部切空间表示该点处的几何特征，然后都局部切空间进行排列。-A non-linear dimensionality reduction of manifold learning algorithm, mainly to consider every point of the partial cut Department said that the space of the geometric characteristics of poin
Isomap
- Isomap流形降维算法，包括了一个瑞士卷生成数据，dijk距离算法。-Dimensionality reduction algorithm Isomap manifold, including the formation of a Swiss roll data, dijk distance algorithm.
swissroll
- 此文件包含生成swissroll数据集,并用LLE算法进行降维处理,很实用,应该对现在学习流形学习的同学有帮助。-This file contains data sets generated swissroll and dimensionality reduction algorithm with the LLE process, it is useful, it should now learning manifold learning for students help.
LDA_LLE
- 常见的流形学习方法LDA和LLE,此程序经过调试运行！-Manifold learning methods common LDA and LLE, this program after commissioning!
corr_LDA
- Semi-Supervised Discriminant Analysis (Manifold Regularization Way)
Mani
- 流形学习程序，Isomap，LLE，LTSA，etc，非线性数据降维-manifold learning, Isomap, LLE, LTSA, etc, nonlinear data dimensionality reduction
ear2
- 国际会议上的关于人耳图像识别的论文：Multi-view Ear Recognition Based on B-Spline Pose Manifold Construction -Multi-view Ear Recognition Based on B-Spline Pose Manifold Construction
lle
- 一种流形学习算法，用于非线性降维，文章发表在2000年science杂志上，是一种非常经典的算法。-A manifold learning algorithm for nonlinear dimensionality reduction, articles published in science journal in 2000, is a very classic algorithms.
npe
- 流形学习算法lle的线性化方法，是一种非监督的降维方法，比lle的优势在于可以将新的样本点映射到低维空间。-Lle manifold learning algorithm of the linearization method, is a non-supervised dimensionality reduction method has the advantage of being more than lle can sample the new point is mapped to the
hlle
- 一种流形学习算法，改正了Isomap不能对非凸流形进行降维的不足，是一种局部等距的降维方法。-A manifold learning algorithm, Isomap can not be corrected for non-convex manifolds for the lack of dimensionality reduction is a partial isometric method of dimensionality reduction.
lltsa
- 流形学习算法LTSA的线性化方法，在基因分类聚类中得到了应用，可以将新样本线性地投射到低维空间。-LTSA manifold learning algorithm of the linearization method, clustering in gene classification has been applied to new samples can be projected onto the linear and low-dimensional space.