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Detecting anomalies with random ferns

Warscotte, Loïc
(2019)

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Warscotte_39601400_2019.pdf
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Details

Supervisors
De Vleeschouwer, Christophe
Faculty
Ecole polytechnique de Louvain
Degree label
Master [120] : ingénieur civil en mathématiques appliquées
Abstract
Detecting anomalies is a part of machine learning in order to detect defective images. The algorithm that is used is the random ferns, that must be improved in order to apply it for the anomaly detection. This work introduces improvements that can be brought to this algorithm to get better performance of detection.