搜索资源列表
Isomap2
- 关于graphics的Isomap的论文 -graphics on the Application of isomap papers
kernel_isomap
- 实现核ISOMAP算法,解决测试点问题和ROBUST问题-nuclear ISOMAP algorithm to solve problems and test questions Facility
ParticleFilterTrackerwithIsomap
- We propose a novel approach for head tracking, which combines particle filters with Isomap. The particle filter works on the low-dimensional embedding of training images. It indexes into the Isomap with its state variabl
S-Isomap
- 一个有监督的非线性能够缩小分类维数的算法源代码
mani
- mani: MANIfold learning demonstration GUI by Todd Wittman, Department of Mathematics, University of Minnesota E-mail wittman@math.umn.edu with comments & questions. MANI Website: httP://www.math.umn.edu/~wittman/mani/i
mani
- 包含了大多数流形学习方法的代码,有PCA,ISOMAP,LLE,HLLE
ISOMAP
- 降维处理
流形学习算法源码
- 流形学习算法源码 ISOMAP
IsomapR1
- 基于测地距离不变性的非线性降维算法源码，原文发表在2000年的Science杂志上，需要了解具体原理者请先看其论文。-based on geodesic distance invariance of nonlinear reduced dimension algorithm source code, the text published in 2000 in Science magazine, the need to understan
Logmap
- Turbo 码的logmap算法实现。用于通信系统仿真-Turbo Codes logmap algorithm. For communications system simulation
Isomapfiles
- 此程序是进行人脸识别时，进行非线性降维后提取特征的一个典型方法，想做非线性降维特征提取的朋友可以研究，本人看后收获颇多-This procedure is carried out face recognition, the non-linear dimensionality reduction after the extraction of the characteristics of a typical method to do no
Manifoldstudy
- 本PPT文档是关于manifoldstudy的，详细介绍了流形学习的概念，引出了几种主要的流行的主流流形学习算法，分析透彻，最学习的人很有指导意义，目前网上这些材料很少。与大家共勉-The PPT file is about the manifoldstudy, detailing the concept of manifold learning, leads to several major mainstream popular ma
IsomapR1
- 流形学习 matlab开发的图形界面 集成了八个算法和十几个例子-Manifold learning matlab integrated graphical interface developed eight algorithms and more than a dozen examples
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 geo
mani
- 改过的ISOMAP算法，较之前的算法速度更快，可视化效果更好-Turn over the ISOMAP algorithm, faster than the previous algorithm, visualization better
manifolds
- 流形学习是近年来机器学习及模式识别等领域的一个研究热点，其主要目标是去发现高维观察数据空间的低维光滑流形。自从2000年Roweis和Saul提出LLE算法、Tenenbaum等人提出Isomap算法，特别是Donoho等人发现Isomap算法能够准确发现人脸图像流形潜在的参数空间、张长水等人将LLE算法用于人脸识别并取得了较好的识别效果之后，基于流形学习的人脸识别研究引起了人们的广泛关注。-Manifold learning in r
MLcode
- 这是关于机器学习的经典例程，只有你想不到的，没有你做不到的。即可用来学习，也可参考来写论文。包含几乎所有机器学习的相关内容。-This is the classic routines on machine learning, and only you can not think, no you can not do. Can be used to learn, but also can refer to write papers. Al
SubspaceLearningCodes(Matlab)forFaceRecognition.ra
- 人脸识别的子空间方法，包括LLE，ISOMAP和NPE等维数约减算法-Subspace method for face recognition, including LLE, ISOMAP and NPE dimensionality reduction algorithm such as
lle
- Locally-Linear Embedding (LLE)[9] was presented at approximately the same time as Isomap. It has several advantages over Isomap, including faster optimization when implemented to take advantage of sparse matrix algorithm
liuxinggaishu
- :流形学习是一种新的非监督学习方法,近年来引起越来越多机器学习和认知科学工作者的重视. 为了加深 对流形学习的认识和理解,该文由流形学习的拓扑学概念入手,追溯它的发展过程. 在明确流形学习的不同表示方 法后,针对几种主要的流形算法,分析它们各自的优势和不足,然后分别引用Isomap 和LL E 的应用示例. 结果表明, 流形学习较之于传统的线性降维方法,能够有效地发现非线性高维数据的本质维数,利于进行维数约简和数据分 析