Anomaly detection using autoencoders with nonlinear dimensionality reduction

ACM International Conference Proceeding Series

Volumn 02-December-2014, Issue , 2014, Pages 4-11

  Sakurada, Mayu ^a   Yairi, Takehisa ^b  

^a UNIVERSITY OF TOKYO   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

Author keywords

Anomaly detection; Auto assosiative neural network; Autoencoder; Denoising autoencoder; Dimensionality reduction; Fault detection; Nonlinear; Novelty detection; Spacecrafts

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPLEX NETWORKS; DATA HANDLING; DATA REDUCTION; FAULT DETECTION; INFORMATION ANALYSIS; NONLINEAR ANALYSIS; SENSORY ANALYSIS; SIGNAL DETECTION; SPACECRAFT;

ANOMALY DETECTION; AUTO ENCODERS; DIMENSIONALITY REDUCTION; NONLINEAR; NOVELTY DETECTION;

LEARNING SYSTEMS;

EID: 84985930709     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2689746.2689747     Document Type: Conference Paper

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