2021
DOI: 10.1098/rsos.201086
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Transformation of measurement uncertainties into low-dimensional feature vector space

Abstract: Advances in technology allow the acquisition of data with high spatial and temporal resolution. These datasets are usually accompanied by estimates of the measurement uncertainty, which may be spatially or temporally varying and should be taken into consideration when making decisions based on the data. At the same time, various transformations are commonly implemented to reduce the dimensionality of the datasets for postprocessing or to extract significant features. However, the corresponding uncertainty is n… Show more

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References 42 publications
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