7.2.2
An exemplary instance is specified by a triple 
where
is the exemplary configuration (recognition solution) telling
how the scene (
) should be labeled or interpreted in terms of the
model reference (
). The configuration 
may be a structural
mapping from 
to 
. Assume that
there are L model objects; then at least L exemplary instances have
to be used for learning to recognize the L object. Let the instances
be given as
We propose two-level criteria for learning 
from examples:
, should embed each 
into the
minimum of the corresponding energy 
, that is
where the definition of 
is dependent upon the
given scene 
and the model 
of a particular
exemplary instance 
as well as
. Briefly speaking, a correct 
is one which makes the
minimal configuration 
defined in
(7.1) coincide with the exemplary
configuration 
.
