A Multi-modal Metric Learning Framework for Time Series kNN Classification

Abstract : 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.
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Chapitre d'ouvrage
Advanced Analysis and Learning on Temporal Data, pp.131-143, 2016, 〈10.1007/978-3-319-44412-3_9 〉
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https://hal.archives-ouvertes.fr/hal-01385071
Contributeur : Ahlame Douzal <>
Soumis le : jeudi 20 octobre 2016 - 16:59:13
Dernière modification le : vendredi 24 novembre 2017 - 13:26:06

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Cao-Tri Do, Ahlame Douzal-Chouakria, Sylvain Marié, Michèle Rombaut. A Multi-modal Metric Learning Framework for Time Series kNN Classification. Advanced Analysis and Learning on Temporal Data, pp.131-143, 2016, 〈10.1007/978-3-319-44412-3_9 〉. 〈hal-01385071〉

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