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NTIRE 2020 Challenge on Image and Video Deblurring

Publikováno v: CVPR Workshops

Motion blur is one of the most common degradation artifacts in dynamic scene photography. This paper reviews the NTIRE 2020 Challenge on Image and Video Deblurring. In this challenge, we present the evaluation results from 3 competition tracks as wel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c5e60959a5cf47b86a481ceca0c83e48
https://doi.org/10.1109/cvprw50498.2020.00216

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In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction

Autor: Caroline Wang, Bin Han, Bhrij Patel, Cynthia Rudin

Objectives: We study interpretable recidivism prediction using machine learning (ML) models and analyze performance in terms of prediction ability, sparsity, and fairness. Unlike previous works, this study trains interpretable models that output prob

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b909a8339c76f2bbf8d31ec00c50b33
http://arxiv.org/abs/2005.04176