Dimension reduction in multivariate extremes Application to anomaly detection

Anne Sabourin

Conference papers

Dimension reduction in multivariate extremes Application to anomaly detection

Anne Sabourin ^{1, 2}

1 S2A - Signal, Statistique et Apprentissage

LTCI - Laboratoire Traitement et Communication de l'Information

2 TSI - Département Traitement du Signal et des Images

Document type :

Conference papers

Domain :

Statistics [stat]

Statistics [stat] / Machine Learning [stat.ML]

Statistics [stat] / Methodology [stat.ME]

Statistics [stat] / Statistics Theory [stat.TH]

Complete list of metadata

https://hal.telecom-paris.fr/hal-02287865
Contributor : Telecomparis Hal Connect in order to contact the contributor
Submitted on : Friday, September 13, 2019 - 5:26:40 PM
Last modification on : Tuesday, October 19, 2021 - 11:16:14 AM

Dimension reduction in multivariate extremes Application to anomaly detection

Identifiers

Collections

Citation

Export

Metrics

48

Dimension reduction in multivariate extremes Application to anomaly detection

Identifiers

Collections

Citation

Export

Share

Metrics

48