搜索资源列表
wideband-DOA-estimation
- 提出了一种新的宽带DOA估计方法:频域子空间正交性测试方法(TOFS:Test of orthogonality of frequency sub- space)。该方法通过同时测试频域信号共同带宽内各频段噪声子空间与阵列流形之间的正交性来进行DOA估计。与宽带相干信号子空间方法不同,TOFS方法不需要任何初始值的预估及聚焦操作。与宽带非相干信号子空间方法也不同,TOFS方法同时测试各频段噪声子空间与阵列流形之间的正交性。本文仿真了TOFS与IMUSIC、CSSM、TOPS的性能比较。仿真结果表
libsvm
- 常用流形学习算法， 程序中也包含了多种经典的模式识别算法,如MDS、PCA。-Manifold learning algorithm, the program also contains a variety of classical pattern recognition algorithms, such as MDS, PCA.-manifold method，流形学习算法，程序中也包含了多种经典的模式识别算法,如MDS、PCA。-Manifold learning algorithm, th
floater
- 给定一张开空间流形三角形网格曲面，将它无自交地展开为一张二维三角形网格。 曲面只有一个边界。用opennl解线性方程组，具体看下include，下个opennl才能运行。写的时候用vs2010，具体算法看注释吧。-floater parametrization
ISOmap
- 流形学习，非线性降维方法ISOMAP，应用在经典的swiss roll data上，可观察到很好的映射效果-Manifold learning, ISOMAP nonlinear dimension reduction method, the application in the classic Swiss roll data, can be very good mapping effect was observed
lpp
- 局部保持投影算法，机器学习中流形算法，L-Locality preserving projection algorithms, machine learning algorithms flowing shape, LPP
ISOMAP
- 流形学习中的非线性降维方法——等距映射(ISOMAP)算法的MATLAB实现，可以实现高维数据的降维处理，寻找到原始高维数据的特征维数。-ISOMAP is a method which can deal with the high dismensional data and find the low type of orignal data!
manifold-learning
- 介绍流形学习中的维数规约算法，流行学习是指学习一组具有非线性关系的数据之间的本质表示-introduce the dimension reduction algorithm in manifold learning, which is used to learn the intrinsic representation of a serial non-liner datas
MatcontM_2014.05.22
- Matlab程序，用以计算动力系统的各种分岔：同宿，异宿，倍周期和NeimarkSark分岔，以及不变流形和多线性规范型等-Matlab Software of caculations of bifurcations such as Homoclinic,Heterclinic,Flip,Neimarksark bifurcations,Invarant Manifolds
Isomap
- Isomap是一种非线性降维方法。又是一种广泛使用的低维嵌入的方法。[ 1 ] Isomap用于计算准等距，低维嵌入的一组高维数据点。该算法提供了一个简单的方法，用于估计基于一个粗略的估计，每个数据点的邻居流形上的数据流形的内在几何。Isomap是高效和一般适用于范围广泛的数据源和维度。-Isomap is a Nonlinear dimensionality reduction method. And is also one of several widely used low-dimensi
16-node-manifold-element
- 用于计算薄板弯曲的16节点数值流形法，值得学习-16-node manifold element for thin plate-bending analysis
Incompatible_NMM_fracture
- 一个用过求解裂纹问题的非协调数值流形法，有一定的创新性-A distributed memory parallel multibody Contact Dynamics code
HLLE
- 一种流形学习算法，HLLE 一种流形学习算法，HLLE-A kind of manifold learning algorithm, HLLE
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 manifold learning algorithm for nonlinear dimension reduction, mainly consider to use every bit of the local tangent space representation of geometric feature at that point, then the local t
Solution_Knn
- 利用KNN算法实现模式识别，通过黎曼流形来衡量矩阵的相似性。-use the knn agrithm to object classification.
pca
- 可以很好的实现流形学习算法中的线性降维算法PCA数据降维。-Can well realize the manifold learning algorithm of linear dimension reduction algorithm of PCA data dimension reduction.
manifold-learning
- 流形学习8中方法，可自由选择种类、参数，欢迎下载、讨论-8 manifold learning methods are free to choose the type of the parameter
Sparse-Embedding
- 该代码matlab所编写，实现稀疏流形子空间嵌入，可直接运行，对稀疏编码的相关学习有帮肋-The code is written matlab realize sparse subspace manifold embedding, can be run directly on the sparse coding related learning help rib
manifold
- 自然杂志上关于流形学习的重要文章，用于非线性维数约简。 -Nature of manifold learning important articles, for nonlinear dimensionality reduction.
Manifold_learning_algorithms
- Manifold learning algorithms，即流形学习算法，这是一种较新的学习算法，用于对问题的优化分析。-Manifold learning algorithms, namely manifold learning algorithm, which is a relatively new learning algorithm for optimal analysis of the problem.
NMM
- 数值流形方法的源代码，主要由于连续和非连续变形的分析，裂纹扩展的模拟等-NMM source code, mainly due to the continuous and discontinuous deformation analysis, simulation of crack propagation