搜索资源列表
liuxing
- 流形学习算法的matlab程序，利用matlab中的GUI界面描述。-Manifold learning algorithm matlab program, matlab GUI interface descr iption.
MultiPCA
- 多流形PCA是学习多流形的基础，能够帮助理解多流形过程！-The more manifold PCA is learning the basis of multi-manifolds, manifold process can help understand!
MAIN-ALGORITHM
- 该代码详细的介绍了流形学习几种算法的思想，包含源程序。-The code detailed introduces the manifold learning algorithm thought, contains the source program.
music_circle
- 均匀圆阵仿真:m=8 阵元数 azimuth=[-55 0 40] 方位角 p=length(azimuth) 信号源个数 snap=1000 最大快拍数 drl=0.5 圆阵半径与波长之比 snr=15 信噪比dB 流程：1、构造信号2、构造噪声阵列流型矩阵3、观测信号4、观测信号协方差矩阵5、求解特征值与特征向量6、显示图谱。-The uniform circular array simulation: m = 8 element azimuth = [-55 0 40] azim
LPP
- 人脸识别的LPP方法的源代码，保局投影(LPP)作为拉普拉斯特征映射的一种线性逼近可以较好的反映样本的流形结构-LPP method for face recognition source code, locality preserving projection (LPP) manifold structure as a linear Laplasse feature mapping approach can better reflect the sample
drtoolbox.tar
- 流形学习工具包，包括了PCA，MDS，LLE，LTSA一些代码，对于初学应该有些帮助-The manifold learning kit including PCA, MDS, LLE, LTSA code should be some help for the beginner
KAUSTNMF
- 这是一个典型的流形学习的算法，算法为目前比较经典的一个，可以参考学习流形学习相关的东西-This is a typical manifold learning algorithm, the algorithm can refer to a more classic, the learning manifold learning things
sllePsvm
- 目标分类（流形学习slle+支持向量机svm）-Target classification (manifold learning slle+ support vector machine svm)
saliency-detection
- 基于图和流形排名的图像显著性检测算法，MATLAB实现-Manifold ranking based on maps and image saliency detection algorithm, MATLAB realization
lle
- 流形学习算法LLE的核心代码，实现对高维图像数据的降维，适合初学者-LLE manifold learning algorithm of the core code, the realization of high-dimensional image data dimensionality reduction, suitable for beginners
drtoolbox
- 国外的牛人写的软件，数据降维工具箱，包含了几十种常用的流形学习方法的源码，自带图形界面。-A foreign master write this dimension reduction toolbox,there s dozens of code of common manifold learning methods.
MVU
- 流形学习中的重要方法MVU的源代码，也就是所谓的sde-Manifold learning an important means of MVU-MVU
llde_cmb
- 人脸检测一直是人们在研究的问题，流形学习用于人脸检测中的特征提取，用PCA与constructM进行降维，KNN分类器用于分类。取得非常好的效果。-Face detection has been the problem of people in the study, manifold learning for face detection feature extraction using PCA and constructM dimension reduction, KNN classifier
stochastic-computation
- TGM.m \\传统的Galerkin方法 MD.m \\时滞惯性流形方法 brownian.m \\演示布朗运动 randomwalk.m \\ 演示随机游走 tumor.m \\ 演示tumor演化-TGM.m \ \ traditional Galerkin method MD.m \ \ Delays inertial manifold method brownian.m \ \ demo Brownian motion randomwalk.m \ \ demo ran
cvprcode
- 这个代码是基于论文“Saliency Detection via Graph-Based Manifold Ranking”下的程序源码，作者是Chuan Yang, Lihe Zhang, Huchuan Lu, Ming-Hsuan Yang, and Xiang Ruan 功能1：使用canny算子计算图像的二值边缘图 -The code is for paper "Saliency Detection via Graph-Based Manifold Ranking" by
SDEmatlab
- 基于监督学习的一种非线性数据降维方法，可以很好地将低维特征从其所在的高维流形中提取出来，用于数据分类。-A nonlinear data dimension reduction based on supervised learning method, is a good way to the lower dimensional feature extracted from its place of higher dimensional manifold, used for data classi
mani
- 流形学习常用的算法都在里面，可以根据需要提取需要的算法-some usual algorithms to manifold learning ,you can copy the part you need
LM331
- V/F变换和F/V变换采用集成块LM331，LM331是美国NS公司生产的性能价格比较高的集成芯片，可用作精密频率电压转换器用。LM331采用了新的温度补偿能隙基准电路，在整个工作温度范围内和低到4.0V电源电压下都有极高的精度。同时它动态范围宽，可达100dB；线性度好，最大非线性失真小于0.01％，工作频率低到0.1Hz时尚有较好的线性；变换精度高，数字分辨率可达12位；外接电路简单，只需接入几个外部元件就可方便构成V/F或F/V等变换电路，并且容易保证转换精度-V/F conversion
LLE
- Locally linear embedding(LLE)是一个经典的流形学习降维方法，通过LLE发现高维数据潜在的内在维数，可以简化计算、方便可视化处理等。-Locally linear embedding (LLE) is a classic manifold learning dimensionality reduction method, discovered by LLE potential inherent high dimensional data dimension, the c
lle
- 用LLE算法来实现高维空间中流行的降维,从而在低位空间中有效表示该流行-to decrease the dimension of manifold embedded in high dimension space