Abstract
Recent advances in machine learning relies on convolutional deep neural networks. These are often trained on cropped image patches. Pertaining to non-stationary seismic signals this may introduce low frequency noise and non-generalizability.
Original language | English |
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Title of host publication | Proceedings of the First EAGE/PESGB Workshop on Machine Learning (London2018) |
Publisher | European Association of Geoscientists and Engineers |
Publication date | 2018 |
Pages | 46-48 |
ISBN (Print) | 978-1-5108-7668-2 |
DOIs | |
Publication status | Published - 2018 |
Event | First EAGE/PESGB Workshop Machine Learning - Olympia London, London, United Kingdom Duration: 29 Nov 2018 → 30 Nov 2018 |
Conference
Conference | First EAGE/PESGB Workshop Machine Learning |
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Location | Olympia London |
Country/Territory | United Kingdom |
City | London |
Period | 29/11/2018 → 30/11/2018 |