Empirical Minimum Volume Set on the Sphere: A Canonical Anomaly Detection Method

Stéphan Clémençon; Alexandre Gramfort; Anne Sabourin; Albert Thomas

Conference papers

Empirical Minimum Volume Set on the Sphere: A Canonical Anomaly Detection Method

Stéphan Clémençon ^{1, 2} Alexandre Gramfort ^{1, 2} Anne Sabourin ^{1, 2} Albert Thomas ^{1, 2}

1 S2A - Signal, Statistique et Apprentissage

LTCI - Laboratoire Traitement et Communication de l'Information

2 IDS - Département Images, Données, Signal

Document type :

Conference papers

Domain :

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

Complete list of metadata

https://hal.telecom-paris.fr/hal-02288463
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Submitted on : Saturday, September 14, 2019 - 6:51:04 PM
Last modification on : Wednesday, November 3, 2021 - 6:18:19 AM

Empirical Minimum Volume Set on the Sphere: A Canonical Anomaly Detection Method

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Empirical Minimum Volume Set on the Sphere: A Canonical Anomaly Detection Method

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