GANomaly: Semi-supervised Anomaly Detection via Adversarial Training

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 11363 LNCS, Issue , 2019, Pages 622-637

  Akcay, Samet ^a   Atapour Abarghouei, Amir ^a   Breckon, Toby P ^a  

^a DURHAM UNIVERSITY   (United Kingdom)

Author keywords

Anomaly detection; Generative Adversarial Networks; Semi supervised learning; X ray security imagery

Indexed keywords

COMPUTER VISION; MACHINE LEARNING; NETWORK CODING; SUPERVISED LEARNING;

ADVERSARIAL NETWORKS; ANOMALY DETECTION MODELS; BENCHMARK DATASETS; CLASSICAL PROBLEMS; HIGH-DIMENSIONAL IMAGES; SEMI- SUPERVISED LEARNING; STATE-OF-THE-ART APPROACH; SUPERVISED LEARNING PROBLEMS;

ANOMALY DETECTION;

EID: 85067239111     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-030-20893-6_39     Document Type: Conference Paper

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