StyleTime: Style Transfer for Synthetic Time Series Generation

Neural style transfer is a powerful computer vision technique that can incorporate the artistic "style" of one image to the "content" of another. The underlying theory behind the approach relies on the assumption that the style of an image is represented by the Gram matrix of its...

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Veröffentlicht in:	arXiv.org 2022-09
Hauptverfasser:	El-Laham, Yousef, Vyetrenko, Svitlana
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Computer Science - Learning Computer vision Data augmentation Feature extraction Neural networks Recurrent neural networks Time series
Online-Zugang:	Volltext
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