Fisher Discriminant & Classification

Question 1

Fisher Discriminant

Answer 1

• assumption: for each class we only know mean and covariance of our data generating distribution
• goal: find linear projection of data such that separability (ratio between- and within-class variability) is maximized
• Unlike PCA, Fisher vectors are not sensitive to large variance components