人脸识别工具箱,包含了PCA,LDA两中方法-Face Recognition toolbox contains PCA, LDA in the two methods

人脸识别的源代码 经典的pca和lda人脸识别 实现的成功率有待改进 好的可以达到70 -Face recognition source code for pca and lda classic face recognition could be improved to achieve a good success rate can reach 70

PCA+LDA人脸识别，识别率高于单独PCA或LDA算法。需要matlab dimension reducation toolbox。-Face verification using PCA and LDA fusion. Better performance than single PCA or LDA algorithm. The image database is included. Matlab dimension reduction toolbox is requrired.

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