Skip to Main content Skip to Navigation
Reports

Variance/Covariance extension for time series discrimination

Abstract : 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.
Complete list of metadata

Cited literature [7 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00744747
Contributor : Ahlame Douzal <>
Submitted on : Monday, May 6, 2013 - 2:58:03 PM
Last modification on : Thursday, May 6, 2021 - 8:58:03 AM
Long-term archiving on: : Tuesday, April 4, 2017 - 5:20:17 AM

File

TSLAli-RR.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00744747, version 2

Collections

IMAG | AGIM | CNRS | EPHE | LARA | TIMC-IMAG | LIG | PSL | UGA

Citation

Cédric Frambourg, Ahlame Douzal-Chouakria, Éric Gaussier, Jacques Demongeot. Variance/Covariance extension for time series discrimination. 2013. ⟨hal-00744747v2⟩

Share

Metrics

Record views

481

Files downloads

474