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Peder A. Olsen

2 accepted papers

2018

Improving Simple Models with Confidence Profiles

NeurIPS 2018poster

In this paper, we propose a new method called ProfWeight for transferring information from a pre-trained deep neural network that has a high test accuracy to a simpler interpretable model or a very shallow network of low complexity and a priori low test accuracy. We are motivated by applications in…

Cited by 69SourcePDFScholar
2016

Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion

CVPR 2016poster

We consider the problem of removing and replacing clouds in satellite image sequences, which has a wide range of applications in remote sensing. Our approach first detects and removes the cloud-contaminated part of the image sequences, then recovers the missing scenes from the clean parts by the pro…

Cited by 36PDFScholar