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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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https://hal.archives-ouvertes.fr/hal-01385071
Contributor : Ahlame Douzal <>
Submitted on : Thursday, October 20, 2016 - 4:59:13 PM
Last modification on : Wednesday, May 13, 2020 - 4:30:03 PM

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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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