Construct · 1 fields · 1 citations

open set recognition: a standalone construct

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Machine learning

classification where test inputs may come from classes unseen in training, so the model must also reject unknowns.

In machine learning, open set recognition refers to classification where test inputs may come from classes unseen in training, so the model must also reject unknowns. This meaning comes from Scheirer (2013) in IEEE Transactions on Pattern Analysis and Machine Intelligence.[1]

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Nearby constructs

dermoscopic pattern analysis1 fields · 1 citationsanchor · a standalone construct intelligence6 fields · 14 citationsjingle · one name, six constructs learning6 fields · 14 citationsjingle · one name, six constructs

References

Scheirer, W. J., de Rezende Rocha, A., Sapkota, A., & Boult, T. E. (2013). Toward Open Set Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(7), 1757-1772. https://doi.org/10.1109/tpami.2012.256

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