•Mostly lectures (but
also discussion of some important
papers).
•Much of it
mathematical and computational
–Geometry of projection and invariance; PCA; shape spaces and shape matching; wavelet representations of images; stochastic models of classes; learning theory.
•But we draw from other
fields too:
–Philosophy: what is a
class?
–Biology: how does
shape vary in nature?
–Psychology: How do
people do classification?
–
•