搜索资源列表
Pca_LDA_FaceRec
- 本代码主要根据PCA结合LDA的识别方法对ORL人脸库进行仿真。-This code is mainly based on PCA, LDA recognition method simulation on ORL face database.
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
pcaPlda
- 使用matlab自己编写的pca+lda方法，大家一起分享-pca and lda in matlab by myself,we will share together
PCAPLDA
- 这个程序是做课程设计用的，希望对有需要的同学进行有帮助，PCA+LDA经典人脸识别算法，先用PCA降维，再用LCA降维-This procedure is done with the course design, and I hope there is a need for students to help, PCA+LDA classical face recognition algorithms, first PCA dimension reduction, reuse LCA dimens
LDPCCODE
- 这个程序是在国外的网站下载，希望对有需要的同学有用，PCA+LDA经典人脸识别算法，先用PCA降维，再用LCA降维-This program is downloaded from the website in a foreign country, I hope to needy students useful, PCA+LDA classical face recognition algorithms, first PCA dimension reduction, reuse LCA dimen
GUI-PCA
- 自己写的matlab GUI界面，可进行PCA分析及LDA分类，附有光谱数据模拟-Write your own matlab GUI interface of PCA and LDA can be classified with spectral data simulation
LDA-PCA-classifier
- this program will help you to perform LDA and PCA signal processing tools for classifing
PCA-and-LDA-Face-recognition
- 运用PCA和LDA进行人脸识别的MATLAB代码 -do the face recognition use the principal component analysis and linear discriminant analysis
PCA-versus-LDA
- 人脸识别经典方法,主成分分析（PCA），线性鉴别分析（LDA）-Face the classical method, principal component analysis (PCA), linear discriminant analysis (LDA)
PCA
- 在这篇文章中，我们主要阐述了基于PCA和LDA的人脸识别技术。这个技术包含两个步骤：首先，我们通过PCA将人脸图片从原始向量空间中提取到子向量空间——特征脸空间；然后，再通过LDA获得一个线性分类器。-In this article, we mainly elaborated based on PCA and LDA face recognition technology. This technique consists of two steps: First, we will face ima
PCA_LDA_LPP_Tensor
- 人脸识别源码 其中包括有PCA LDA LPP算法，-PCA LDA LPP
stprtool
- 统计模式识别，包括PCA LDA SVM-Statistical pattern recognition, including the PCA LDA SVM
1111_10
- this paper has used gabor filter for feature extraction and for feature reduction PCA+LDA has been used. for classification minimum distance classifier is used. PCA+LDA shows better performance than PCA or LDA alone
dimen_toolbox
- 最新最强MATLAB降维工具箱，可用于人脸识别，模式识别，机器学习，数据挖掘，图像处理等领域，里面包含的算法有PCA,LDA,KPCA,KLDA,Laplacian，LPP,MDS,NPE,SPE,LLC,CFA,MCML,LM-The latest and greatest dimension reduction MATLAB toolbox can be used for face recognition, pattern recognition, machine learning, dat
rener_xitong_GUI3_1
- 基于PCA+LDA的人耳识别算法，并用GUI设计用户窗口-PCA+LDA recognition algorithm based on the human ear, and the design of the user with a GUI window
PCAPLDA
- PCA+LDA人脸识别，PCA降维到N-C,（N为训练样本数，C为类别数）使得Sw非奇异，主要是解决小样本，数据集为ORL，每类取9（可改）个图片-PCA+LDA recognition, PCA dimensionality reduction to NC, (N is the number of training samples, C is the number of categories) make Sw nonsingular, mainly to resolve the small s
dimension-reduction
- pca lda kpca klda lpp matlab 特征降为方法，对于新手比较有用。-pca lda kpca klda lpp matlab code for dimension reduction. these are very useful for new researchers.
LDAaaPCA
- PCA,LDA 的文档描述，以及KPCA,LDA 的matlab 代码-PCA，LDA, kPCA
pca_lda
- PCA + LDA 人脸识别，照着论文写得，大家可以参考-PCA+ LDA face recognition, according to paper to write, you can reference
PCA
- 没有使用matlab自带工具包，而是使用了自写的PCA，来用其对数据进行线性分类。-without using the toolbox given by matlab，i write pca myself and implement it into LDA classification.