搜索资源列表
xiaobo-
- matlab的小波压缩程序，用图像压缩和降维-the matlab wavelet compression program, image compression and dimensionality reduction
PCA_ORL
- 对人脸图片用PCA降维，提取特征脸，附上ORL数据库-dimension reduction using PCA to extract eigenfaces of face images and the ORL dataset will also be provided
GaitRecognition
- 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
mypca
- matlab下实现的pca降维算法,降低数据维数，保留数据的主特征-pca dimensionality reduction algorithm on matlab
zhuyaunfenxi_C
- 主元分析法的C语言程序，主要用在降维的方面，也可用在信号处理，故障诊断。-Principal Component Analysis Method C language program, mainly used in dimensionality reduction, can also be used in signal processing, fault diagnosis.
pca
- pca算法实现，实现了一个数据降维方面的经典算法PCA-pca algorithm to achieve a data classic dimensionality reduction algorithm PCA
kpcacsdn
- kpca的算法实现源码，实现了一个数据降维方面的经典算法kpca-kpca the algorithm source code, to achieve a data dimensionality reduction classical algorithm kpca
kpca_toy
- kpca的算法实现源码，实现了一个数据降维方面的经典算法kpca-kpca the algorithm source code, to achieve a data dimensionality reduction classical algorithm kpca
weka
- 用于垃圾邮件过滤中的邮件预处理、降维JAVA代码 -For spam filtering mail preprocessing, dimensionality reduction JAVA code
NLKPCA
- 这是外国人实现的非线性主成份分析，可下载相应的文章，可用来降维！-Applies the kernel method to unsupervised algorithms as for instance Principal Component Analysis. This gives a principled and efficient approach to nonlinear PCA
OpenCV-PCA-face-dimension-reduction
- OpenCV中PCA实现人脸降维，基于QT实现-OpenCV PCA face dimension reduction
lowern
- 详细介绍了数据降维的方法，并讲了实现方法-Detailed data dimensionality reduction method, and about implementation methods
pca
- pca数据降维程序，包括取均值、计算协方差矩阵等详细步骤。-the pca Data dimensionality reduction procedures, including averaging, calculated covariance matrix detailed steps.
Gray-neural-network
- 通过遗传算法的优化计算来实现建模自变量降维案例。-Gray neural network prediction algorithm.
feature-extraction
- 机器学习中几种典型的降维方法， PCA, LDA等-typical feature extraction methods(PCA, LDA) in machine learning
jiangweiguanceqi1
- 降维观测器配置加积分环节 四阶龙哥库塔实现 matlab程序-Reduced order observer plus integral part of the fourth-order Runge Ge Kuta matlab program
mani-real
- 人脸数据库数据降维的Matlab实现，可将高维的人脸数据降维到3维或2维-The face database data dimensionality reduction Matlab, the face of the high-dimensional data down to 3-dimensional or two-dimensional
PCA
- 有监督的PCA降维方法，还算比较好用，识别率能达到80 以上-Supervision PCA dimensionality reduction method is fairly easy to use, the recognition rate can reach more than 80
PCA
- pca人脸识别 基于代数统计的方法是使用统计学观点提取基向量，之后将人脸向量投影到基向量上，得到的投影值即为不同的人脸图像特征，这种方法利于操作，比较灵活。本次设计采用PCA方法对人脸进行降维，提取特征。 -pca face recognition based on the statistical method Generation is extracted base vectors using a statistical point of view, and then the vector
matlab-valued
- 利用matlab自带的小波函数对音频进行分解然后嵌入经降维之后的图像水印并提取-Matlab comes with wavelet function to decompose the audio and image watermark embedded by the dimensionality reduction and extract