implementation of feature selection using adaboost
I am currently working on facial expression recognition using Matlab and I use Gabor filter banks to extract features from each training images. Since the features are too many to be used for classification, I needed to implement Adaboost feature selection to select only the important features and then use the selected features to train an SVM classifier. I have found sample implementations of Adaboost classification but not feature selection. If anyone has any idea of how to implement Adaboost feature selection or has an already implemented code that I can refer, please let me know.
Sincerely,
The normal method of AdaBoost feature selection is just to make a classifier with AdaBoost, then go back and inspect which features are used by that classifier. Note that this is more complex than it needs to be if you use a dedicated feature selection method.
Hi, josiah even I got a project on facial expression recognition. And I am stuck at the same thing now. Can you please help me?