Web: http://arxiv.org/abs/2206.08640

June 20, 2022, 1:13 a.m. | Andreas Klaß, Sven M. Lorenz, Martin W. Lauer-Schmaltz, David Rügamer, Bernd Bischl, Christopher Mutschler, Felix Ott

cs.CV updates on arXiv.org arxiv.org

For many applications, analyzing the uncertainty of a machine learning model
is indispensable. While research of uncertainty quantification (UQ) techniques
is very advanced for computer vision applications, UQ methods for
spatio-temporal data are less studied. In this paper, we focus on models for
online handwriting recognition, one particular type of spatio-temporal data.
The data is observed from a sensor-enhanced pen with the goal to classify
written characters. We conduct a broad evaluation of aleatoric (data) and
epistemic (model) UQ based …

arxiv classification cv evaluation handwriting online time uncertainty

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