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Again, we assume spatial independence between the classification
labels as in equation 2. However, taking
, where
are the adaptive global class proportion parameters, the prior on
is now:
|
(4) |
The global class proportions, , are the relative weighting
of each of the distributions in the mixture. The prior on
is non-informative (uniform) over the range
, and
. Using this in
equation 1, the posterior becomes:
|
(5) |