@prefix dcat: . @prefix dct: . @prefix foaf: . @prefix vcard: . @prefix xsd: . a dcat:Dataset ; dct:description """ In real applications it is not rare for time series of the same class to exhibit dis- similarities in their overall behaviors, or that time series from different classes have slightly similar shapes. To discriminate between such challenging time se- ries, we present a new approach for training discriminative matching that con- nects time series with respect to the commonly shared features within classes, and the greatest differential across classes. For this, we rely on a variance/covariance criterion to strengthen or weaken matched observations according to the induced variability within and between classes. In this paper, learned discriminative matching is used to define a locally weighted time series metric, which restricts time series comparison to discriminative features. The relevance of the proposed approach is studied through a nearest neighbor time series classification on real datasets. The experiments performed demonstrate the ability of learned match- ing to capture fine-grained distinctions between time series, and outperform the standard approaches, all the more so that time series behaviors within the same class are complex. """ ; dct:identifier "hal-00996951" ; dct:issued "2026-05-05T10:08:59.003653"^^xsd:dateTime ; dct:language "en" ; dct:modified "2026-05-05T10:08:59.003658"^^xsd:dateTime ; dct:publisher ; dct:title "Learning temporal matchings for time series discrimination" ; dcat:contactPoint [ a vcard:Organization ; vcard:fn "CCSD" ] ; dcat:distribution ; dcat:keyword "discriminant-analysis", "infoeu-reposemanticsreport", "infoinfo-lgcomputer-science-csmachine-learning-cslg", "reports", "statmlstatistics-statmachine-learning-statml", "temporal-matching", "time-series-classification", "variance-covariance" ; dcat:landingPage . a dcat:Distribution ; dct:format "HTML" ; dct:issued "2026-05-05T10:08:59.004871"^^xsd:dateTime ; dct:modified "2026-05-05T10:08:58.992367"^^xsd:dateTime ; dct:title "Learning temporal matchings for time series discrimination" ; dcat:accessURL . a foaf:Agent ; foaf:name "test_moissonnage_selune" . a foaf:Document .