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Updated method part with current Bayesian filtering process 

Signed-off-by: Jim Martens <github@2martens.de>
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Jim Martens 2019-09-09 12:08:24 +02:00
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@ -574,7 +574,9 @@ varying classifications are averaged into multiple lower confidence
values which should increase the entropy and, hence, flag an values which should increase the entropy and, hence, flag an
observation for removal. observation for removal.
The final step is a top \(k\) selection. The remainder of the filtering follows the vanilla SSD procedure: per-class
confidence threshold, non-maximum suppression, and a top \(k\) selection
at the end.
\chapter{Experimental Setup and Results} \chapter{Experimental Setup and Results}