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