搜索资源列表
-
0下载：
基于PCA的iris数据集分类，matlab实现，大家共同学习。-Iris data set the PCA-based classification, the Matlab implementation, we learn together.
-
-
0下载：
独立主成分分析与主成分分析代码，速度比较快，而且比较好用-In these first experiments, both ICA and whitened PCA are used to compress the data, and all the components are used for classifying the examples. The classifier used is a 1-NN with Euclidean distance. The results shown i
-
-
0下载：
采用经典的PCA对人脸图像进行特征提取，用SVM分类器进行分类。-Classic PCA face image feature extraction, classification with the SVM classifier.
-
-
0下载：
附件中包含各种各样的线性流形学习的降维算法（LPP，PCA，NPE。。。。），用于人脸识别，分类等等！-The annex contains a variety of linear manifold learning, dimensionality reduction algorithms (LPP, PCA, NPE....), For face recognition, classification, etc.!
-
-
0下载：
PCA(主成分分析)的MATLAB源代码，包含测试例子及使用文档，该算法主要用于图像分类时特征的降维。-PCA (Principal Component Analysis) of the MATLAB source code, including test case and use the document, the algorithm is mainly used for image classification and feature dimensionality reduction.
-
-
0下载：
使用小波能量差提取信号，PCA降维，SVM对电能质量扰动分类。-Extract the signal using the wavelet energy difference between the PCA dimensionality reduction, SVM classification of power quality disturbances.
-
-
0下载：
模式识别的分类函数，包括PCA，风险贝叶斯，最小误差贝叶斯，parzen窗函数等等。-Pattern recognition classification functions, including PCA, risk Bayesian minimum error the Bayesian, parzen window function, and so on.
-
-
0下载：
Hybrid PCA-RBPNN for classification
-
-
0下载：
模式识别作业四，用PCA方法处理数据。并对数据进行分类/降维，做出二维图像-Pattern recognition operations data processed by PCA method. And data classification/dimensionality reduction, make a two-dimensional image
-
-
0下载：
Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensiona
-
-
4下载：
里面包含了步态识别的整一套流程的代码实现，包括从视频流里面提取图片帧，背景建模，提取运动目标（运动检测），形态学处理（膨胀与腐蚀，连通性检测），归一化大小，步态能量图的构建，主成分分析（PCA）降维,线性判别分析（LDA）分类等等功能的代码实现。均通过测试。-Contains the gait recognition of the whole process of a set of code, including the extraction and picture frames from th
-
-
0下载：
这是一个Matlab编写的基于PCA的人脸识别分类算法.-This is a Matlab prepared by the PCA face recognition classification algorithm.
-
-
0下载：
. PCA人脸识别
A．闭集测试。用每个人的前5张图像作为训练，剩下的5张图像作为测试。也就是说总共有200张训练图像和200张测试图像。采用最近邻分类，分析选取不同的主分量个数K，对识别率的影响
-. PCA Face Recognition A. Closed set tests. With each of the first five images for training, the remaining 5 images as a test. That is a total of
-
-
0下载：
this code reduce the dimentional of feature space using combine sparse matrix+PCA for classification eeg signal. more detail exixst inside the code.
this code tested and work properly
-
-
0下载：
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
-
-
0下载：
基于PCA降维的KNN，最近邻分类matlab实现。-PCA dimensionality reduction based the KNN, the nearest neighbor classification matlab.
-
-
0下载：
pca 结合svm 算法的人脸与非人脸分类程序。附带训练和测试样本。-pca svm algorithm combined with the human face and non-face classification procedure. With training and test samples.
-
-
0下载：
pcA,特征提取以及分类，可以运行.欢迎提意见，-pcA, feature extraction and classification, you can run
-
-
0下载：
自己写的MFA降维算法。此算法中先进行pCA处理原始数据，然后对处理后数据运用MFA，可用于人脸识别及其它分类问题。很好用。-Write your own MFA dimensionality reduction algorithm. This algorithm first performed pCA processing raw data, processed data and then use MFA, can be used for face recognition and other
-
-
1下载：
主分量分析对SAR图像目标进行特征提取，用最近临方法进行分类-Principal component analysis（PCA） of SAR image target feature extraction, classification using nearest-neighbor method
-
