A Multi-modal Metric Learning Framework for Time Series kNN Classification - Archive ouverte HAL
Chapitre D'ouvrage Année : 2016

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

Résumé

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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Dates et versions

hal-01385071 , version 1 (20-10-2016)

Identifiants

Citer

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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