implementation of feature selection using adaboost

asked 2012-09-04 18:52:06 -0500

Josiah gravatar image

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.


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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.

Michael Barnes gravatar imageMichael Barnes ( 2012-09-06 03:09:09 -0500 )edit

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?

shalki gravatar imageshalki ( 2012-12-12 06:01:06 -0500 )edit