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Characterization of Out-of-distribution Samples from Uncertainty Maps Using Supervised Machine Learning.
Lina E. Budde
Dimitri Bulatov
Eva Strauss
Kevin Qiu
Dorota Iwaszczuk
Published in:
DAGM (2023)
Keyphrases
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supervised machine learning
manually annotated
supervised learning
active learning
sample set
probability distribution
training samples
data sets
pairwise
machine learning
high level
similarity measure
ground truth
general purpose
co occurrence
higher order