BriefGPT.xyz
Jul, 2020
使用缓慢流进行时间序列源分离
Time Series Source Separation with Slow Flows
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Edouard Pineau, Sébastien Razakarivony, Thomas Bonald
TL;DR
本文介绍了慢特征分析与流基模型的结合，利用盲源分离技术实现时间序列分解的可辨识性。
Abstract
In this paper, we show that
slow feature analysis
(SFA), a common
time series decomposition
method, naturally fits into the
flow-based models
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