Pattern Localization in Time Series through Signal-To-Model Alignment in Latent Space

16 Feb 2018Steven Van VaerenberghIgnacio SantamariaVictor ElviraMatteo Salvatori

In this paper, we study the problem of locating a predefined sequence of patterns in a time series. In particular, the studied scenario assumes a theoretical model is available that contains the expected locations of the patterns... (read more)

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