This work proposes a temporal and frequential metric learning framework for a time series nearest neighbor classification. For that, time series are embedded into a pairwise space where a combination function is learned based on a maximum margin optimization process. A wide range of experiments are conducted to evaluate the ability of the learned metric on time series kNN classification.
['Cao-Tri Do', 'Ahlame Douzal-Chouakria', 'Sylvain Marié', 'Michèle Rombaut']
A Multi-modal Metric Learning Framework for Time Series kNN Classification