Research Article
ROC-Boosting: A Feature Selection Method for Health Identification Using Tongue Image
Input: Example set with improved Haar-like feature filtered by -test | Output: Feature set selected | () Do | () For each feature that is not selected | () Compute area under ROC curve for this feature | () If the feature is concave | () Use negative feature value | () End If | () Exclude features whose ROC curve cross random guess line in ROC space | () Next | () Select one feature using some conditions in ROC space | () Exclude examples correctly classified by this feature | () If these conditions are not fulfilled | () Exit Do | () End if | () Loop |
|