added rbf parameters

libsvm_train.m

@@ -8,7 +8,8 @@ function svmmodel = libsvm_train ( labels, feat, settings )
 %  labels   -- multi-class labels (#sample x 1)
 %  feat     -- features for training images (#samples x # dimensions)
 %  settings -- struct for configuring the svm model training, e.g., via
-%              'b_verbose', 's_svm_type', 's_kernel_type', 'f_svm_C', ...
+%              'b_verbose', 's_svm_type', 's_kernel_type', 'f_svm_C', 
+%              'f_rbf_gamma', 'b_svm_shrinking' ...
 % 
 % OUTPUT:
 %  svmmodel -- cell ( #classes x 1 ), every model entry is obtained via
@@ -57,8 +58,14 @@ function svmmodel = libsvm_train ( labels, feat, settings )
     % 
     b_weightBalancing = getFieldWithDefault ( settings, 'b_weightBalancing', false);
     
+    % RBF bandwidth parameter (default 1)
+    f_rbf_gamma = getFieldWithDefault ( settings, 'f_rbf_gamma', 1);
+    libsvm_options = sprintf('%s -g %f', libsvm_options, f_rbf_gamma); 
     
-  
+     % do we want to use the shrinking option? (default: no)
+    b_svm_shrinking = getFieldWithDefault ( settings, 'b_svm_shrinking', false);
+    libsvm_options = sprintf('%s -h %d', libsvm_options, b_svm_shrinking);    
+      
     uniqueLabels = unique ( labels );
     i_numClasses = size ( uniqueLabels,1);