搜索资源列表
Two_Dimensional-PCA
- 二维的PCA,讲的比较详细 对你的理解有很好的帮助-Two-dimensional PCA, speaking of a more detailed understanding of your good help ..
KPCA_SVM_Train.rar
- 能够对输入的三维数据进行pca分析 然后输出主要的两位下的图像的坐标,the code could do pca analysis for a 3D data, and out put the first two main dimention of these data.
simpos
- 51下的超轻量多任务操作系统,具有任务切换开销极小(指令周期数<10/任务),任务切换速度极快(<100us/任务,STC 1T单片机上可达到20us/任务).注意,最好在拥有256字节的52上使用.使用前请认真看说明和注释,并完全了解该系统的工作机制.-this is a hyper tiny OS for MCS 51 MCU. the task switching is very fast(<10 cycles/task and <100us/switching).
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
pca
- 本程序利用matlab语言,实现了对高光谱遥感图像的读取并做主成分分析,将结果按贡献率大小顺序排列并显示出来。-This procedure using matlab language to achieve a high spectral remote sensing image analysis components to read and call the shots, according to the results in order of contribution size and di
SIFTPCA-SIFTandSURF
- 一篇SIFT、PCA-SIFT和SURF比较的文章,本文对上述三种进行了详细的比较,使读者更加深入了解三种方法的区别-A SIFT, PCA-SIFT and SURF comparison article, the paper of the three carried out a detailed comparison of the reader a better understanding of the difference between the three methods
Fault1_PCA
- 利用主成分分析方法,对TE模型产生的故障数据故障1进行故障检测-Using principal component analysis, on the TE model failure data generated by a fault detection fault
kernel_pca
- Kernel principal component analysis (kernel PCA) [1] is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with
2dpca
- 利用2dPCA算法实现的人脸识别程序,值得一看,效果比较好 -2dPCA algorithm using face recognition program, worth a visit, the effect is better
Image-Representation
- 图像的几种表达方法,包括DCT域,DWT域,PCA表示,以及超完备表示-Several image expression, including the DCT domain, DWT domain, PCA said, and that over a complete
pcaandica
- 这是一个人脸识别的程序,先对图像预处理,然后用PCA进行特征提取。-This is a face recognition process, first on the image pre-processing, and then use PCA for feature extraction.
FaceReco_PCA3
- 这是一个用VC6编写的PCA人脸识别程序,用到了opencv库,库文件一起上传了,可以直接编译。也有相应的训练与测试图像。感觉效果还可以!-This is a PCA face recognition using VC6 written procedures, use the opencv library, library file with the upload, can be directly compiled. Have corresponding training and test im
ccipca
- 一种著名的增量PCA方法,能够以增量的方式获取主成分-a famous incremental PCA algorithm. It can obtain the principal component incrementally
stprtool15aug08
- 捷克理工大学Hlavac教授和Franc博士提供的统计模式识别Matlab工具箱的最新版本V2.09,在原有版本基础上进行了一些修改和完善。它包括现有模式识别的大部分方法,比如SVM,PCA,LDA等。我采用其中的SVM方法进行了人体下肢假肢SEMG信号的分类,效果不错。希望能对大家有帮助。-Statistical Pattern Recognition Toolbox for Matlab (C) 1999-2008, Version 2.09. It includs a number of
a
- 用PCA/ICA编写的盲信号分离的程序,欢迎大家分享-Use of PCA/ICA for Blind Signal Separation preparation procedures are welcome to share
stprtool15aug08
- 统计模式识别算法包,包括线性分类算法,SVM,PCA,LDA,EM,k-means分类等多种常用的模式识别算法。-Statistical pattern recognition algorithm package, including a linear classification algorithm, SVM, PCA, LDA, EM, k-means classification and many other commonly used pattern recognition algori
matlab
- matlab的一个人脸识别系统 包括gabor,pca,ica的源码-matlab a face recognition system includes gabor, pca, ica source
Researchontheshapefeatureextractionandrecognition.
- 主分量分析(PCA ) 是统计学中分析数据的一种有效的方法, 可以将数据从高维数据空间变换到低维特征空间, 因而 可以用于数据的特征提取及压缩等方面。在该文的形状识别系统中, 用PCA 法提取图像的形状特征, 能够较好地满足识别 层的输入要求。在识别层研究了3 种识别方法: 最近邻法则、BP 网络及协同神经网络方法, 均取得了满意的实验效果。-Principal component analysis (PCA) is a statistical analysis of data in a
pcamat
- 这是关于PCA的程序,白化的一种方法很不错的-This is the procedure on the PCA, a method of whitening is very good
SURF-V1.0.9
- 一种特征描述算子,功能和sift类似,但比sift速度更快,有重要的研究价值-A characterization of operators, functions and sift similar, but faster than sift, has important research value