Variance/Covariance extension for time series discrimination

For time series discrimination,the main idea behind the proposed approach is to use a variance/covariance criterion to strengthen or weaken aligned observations according to their contribution to the variability within and between classes. To this end, the classical variance/covariance expression is extended to a set of time series, as well as to a partition of time series.

Data and Resources

Additional Info

Field Value
Source https://hal.science/hal-00744747
Author Frambourg, Cédric, Douzal-Chouakria, Ahlame, Gaussier, Éric, Demongeot, Jacques
Maintainer CCSD
Last Updated May 11, 2026, 05:18 (UTC)
Created May 11, 2026, 05:18 (UTC)
Identifier hal-00744747
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire d'Informatique de Grenoble (LIG) ; Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)
creator Frambourg, Cédric
date 2013-05-06T00:00:00
harvest_object_id 6fed44f1-ae7a-4ebe-a5f8-211e9b4b6d54
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-09-27T00:00:00
set_spec type:REPORT