19. The image classification system of claim 11 , wherein the Lagrange function can be evaluated using the following expression: 
 L ( f ,λ)= R ( f )+λ(Φ( f )−1−∈) where L(f,λ) is the Lagrange function, f is the classifier, λ is the dual variable, R(f) is the information gain, Φ(f) is the accuracy, and E is an arbitrary accuracy value.
19. The image classification system of claim 11 , wherein the Lagrange function can be evaluated using the following expression: 
 L ( f ,λ)= R ( f )+λ(Φ( f )−1−∈) where L(f,λ) is the Lagrange function, f is the classifier, λ is the dual variable, R(f) is the information gain, Φ(f) is the accuracy, and E is an arbitrary accuracy value. 20. The image classification system of claim 19 , wherein the processor is configured to generate at least one optimized classification of the at least one feature of the image for the first image of interest using the classifier that maximizes the relationship between the information gain and the accuracy with respect to the dual variable.