About the speed of Liblinear SVM 'train'

[cpsxhao]

Hi, thanks for your excellent codes. I got good performance when I use a set of 10000 pictures, with 5 landmarks. However, when I increase the landmarks to 9, the training of SVM is too slow -- after 'learn global regressors...', it can hardly go on.
So would you like to give me some advice on it?

[cpsxhao]

And can you tell me the meaning of the options of function 'train', especially 'heartscale'?

param = sprintf('-s 12 -p 0 -c %f -q heart_scale', 1/(size(binaryfeatures, 1)));