2018
Pattern Localization in Time Series Through Signal-To-Model Alignment in Latent Space
ICASSP 2018accepted
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. This problem is found in several contexts, and it is commonly solved…