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,