This paper introduces two new coding schemes, the probabilistic reasoning m
odels (PRM) and the enhanced FLD (Fisher linear discrimimant) models (EFM),
for indexing and retrieval from large image databases with applications to
face recognition. The unifying theme of the new schemes is that of lowerin
g the space dimension ("data compression") subject to increased fitness for
the discrimination index.