My research topic is optimized face recognition using SVM and PSO. but I cant understand how to optimize parameters of SVM (C or epsilon) by PSO. So, please help me if anyone have matlab code related to this topic.
Dear Pratiksha, my suggestion is first you work on basic face recognition techniques and analyze what type of parameters are usually used. Then, only you can apply any optimization (PSO,CSO,etc.) techniques. If you are using SVM then, you can update the weight through PSO. You can find some of the article which are applied for medical image denoising. All the best.
Dear Sir,
U can look in this site
https://www.mathworks.com/matlabcentral/fileexchange/45750-face-recognition-using-pca
I recommend this classification learner app in matlab, it does not need very hard coding for SVM and other classification algorithm , need to just understand a little and drag and drop your face data to change your parameters very easily.
follow the link,
https://kr.mathworks.com/videos/classify-data-using-the-classification-learner-app-106171.html
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