Search Results for author: Jonathan Prexl

Found 4 papers, 1 papers with code

GlobalBuildingMap -- Unveiling the Mystery of Global Buildings

no code implementations22 Apr 2024 Xiao Xiang Zhu, Qingyu Li, Yilei Shi, Yuanyuan Wang, Adam Stewart, Jonathan Prexl

A joint analysis of building maps and solar potentials indicates that rooftop solar energy can supply the global energy consumption need at a reasonable cost.

Using Machine Learning to predict extreme events in the Hénon map

no code implementations20 Feb 2020 Martin Lellep, Jonathan Prexl, Moritz Linkmann, Bruno Eckhardt

Machine Learning (ML) inspired algorithms provide a flexible set of tools for analyzing and forecasting chaotic dynamical systems.

BIG-bench Machine Learning

Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping -- Challenges and Opportunities

1 code implementation19 Feb 2020 Michael Schmitt, Jonathan Prexl, Patrick Ebel, Lukas Liebel, Xiao Xiang Zhu

Therefore, this paper seeks to make a case for the application of weakly supervised learning strategies to get the most out of available data sources and achieve progress in high-resolution large-scale land cover mapping.

Weakly-supervised Learning Weakly supervised Semantic Segmentation +1

Cannot find the paper you are looking for? You can Submit a new open access paper.