Deep Autoencoding GMM-based Unsupervised Anomaly Detection in Acoustic Signals and its Hyper-parameter Optimization.
Harsh PurohitRyo TanabeTakashi EndoKaori SuefusaYuki NikaidoYohei KawaguchiPublished in: CoRR (2020)
Keyphrases
- parameter optimization
- acoustic signals
- unsupervised anomaly detection
- anomaly detection
- acoustic signal
- semi supervised
- intrusion detection
- genetic algorithm ga
- genetic algorithm
- parameter settings
- differential evolution
- parameter estimation
- pid controller
- support vector machine
- pattern mining
- supervised learning
- em algorithm
- feature vectors
- unsupervised learning
- least squares
- machine learning
- training data