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Conference papers
ε-Optimal Anomaly Detection in Parametric Tomography
Abstract : The paper concerns the radiographic non-destructive testing of well-manufactured objects. The detection of anomalies is addressed from the statistical point of view as a binary hypothesis testing problem with nonlinear nuisance parameters. A new detection scheme is proposed as an alternative to the classical GLR test. It is shown that this original decision rule detects anomalies with a loss of a negligible (epsiv) part of optimality with respect to an optimal invariant test designed for the "closest" hypothesis testing problem with linear nuisance parameters
https://hal-utt.archives-ouvertes.fr/hal-02366204
Contributor : Jean-Baptiste Vu Van Connect in order to contact the contributor
Submitted on : Friday, November 15, 2019 - 5:22:17 PM
Last modification on : Thursday, October 21, 2021 - 5:58:02 PM
Contributor : Jean-Baptiste Vu Van Connect in order to contact the contributor
Submitted on : Friday, November 15, 2019 - 5:22:17 PM
Last modification on : Thursday, October 21, 2021 - 5:58:02 PM