Thank you for sharing excellent software.
I am having training data of orders 9500 x 200000. Can you suggest some tips, if any on choice of algorithm/parameters.
I found cddcsvm_train, with C =5, B =1; better than PEGASOS.
But didn't know if any other choice of parameters-C or optimization technique can yield better results.
Thank you for your great toolbox, but I have some problem with the 2.8 version.
I cannt find the model model_detector_haar_24x24.mat. I tried to build the model using Example 3 in train_cascade. Then using this model and run demo_detector_haar I have this error:
Error using detector_haar
sum(cascade(1 , :)) <= T
Error in demo_detector_haar (line 83)
pos = detector_haar(rgb2gray(aa) , model);
Would you please check it? Thank you so much.