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@StevenPuttemans, I still keep my opinion, it comes from my experience with gender classification problem. Of course, you example is right, but innately, within the threshold, the accuracy should be better. @CurtisFu, your images are fairly small, you should try with at least 64x64 resolution images. I have tested with polynomial kernel function and LBP features on LFW database (over 12000 images) and the average recognition rate (cross validation test with 1/5 database for test set while the rest-4/5 for training) was above 90%.
