1887

Abstract

Summary

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.

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/content/papers/10.3997/2214-4609.201803020
2018-11-30
2022-05-29
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References

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