I have done face recognition using PCA ( It was recognizing the face by using the min euclidean distance between the train and the query image got an accuracy of around 85%). Now i want do that using SVM. Actually SVM shows 100% result on training images but its not working properly on test samples. I am not getting where the problem is.. Help me in solving this problem..
MATLAB: How to classify PCA features using SVM
svm for pca
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