Decomposing time series with application to temporal segmentation

Abstract

We propose a novel univariate time series decomposition algorithm to partition temporal sequences into homogeneous segments. Unlike most existing temporal segmentation approaches, which generally build statistical models of temporal observations and then detect change points using inference or hypothesis testing techniques, our algorithm requires no domain… (More)
DOI: 10.1109/WACV.2016.7477722

Topics

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