Boyer - 23
Perceptual Inference Network (PIN): Specification
The conditional probabilities:
p ( l *zr • • • 1 ^ J for i = 1, . . . , ft) =
9^x\xi\ , • • •, tin)
C0772p((/ Ii .,...,/ Z .),({/ Ui| ,...,/ U|fn } for i =
( 1 )
where p is the conditional function which expresses the belief in
feature .Y given the state of the other features, U \,.. •, U n and
Comp is the locational compatibility function capturing the local
neighborhood dependencies. The function g is of the following
form:
g(X = l|«i,---,u n ) = C (lili ... iUn) (l (2)