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Bivariate Downscaling With Asynchronous Measurements

Journal of Agricultural, Biological, and Environmental Statistics, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
He, Xuming, Yang, Yunwen, Zhang, Jingfei
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History of Downscaling

2017
Downscaling in Weather Forecasting The first downscaling methods had been invented already in the late 1940s (Klein 1948) and became operational in the early days of numerical weather prediction at the end of the 1950s. Back then, operational numerical weather prediction models were by far too coarse to predict local weather, and furthermore they did
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Task-Aware Image Downscaling

2018
Image downscaling is one of the most classical problems in computer vision that aims to preserve the visual appearance of the original image when it is resized to a smaller scale. Upscaling a small image back to its original size is a difficult and ill-posed problem due to information loss that arises in the downscaling process.
Heewon Kim   +3 more
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Downscaling Methods

2022
Arash Yoosefdoost   +4 more
openaire   +1 more source

Downscaling of environmental indicators: A review

Science of The Total Environment
Environmental indicators at different scales are important for environmental management, daily life, and scientific research. Because of the lack of statistics below a national scale for many environmental indicators, scholars have developed various downscaling methods to obtain finer-scale and diverse forms of data for different environmental ...
Shiting, Li   +6 more
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Impact of Downscaling on Adversarial Images

2022 IEEE International Conference on Image Processing (ICIP), 2022
BenoĆ®t Bonnet 0001   +2 more
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Upscale, downscale

Nature Reviews Neuroscience, 2018
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