Bjorn W. Schuller

Deep Canonical Time Warping

Machine learning algorithms for the analysis of time-series often depend on the assumption that the utilised data are temporally aligned. Any temporal discrepancies arising in the data is certain to lead to ill-generalisable models, which in turn fail to correctly capture the properties of the task…