Let a minimum error classifier be used to recognize two-dimensional patterns from two classes, 1 0 each having a normal distribution N(r,r): M = (3), 41-(1 3), . =(3), V=(1 3), =(3), 42=( 3). 0 Assume unit loss functions and a priori probabilities of classes: P(w) = P, P(w) = 1 - P. Determine and sketch the discrimination function in the two-dimensional feature space. (Points-10)