Deep Autoencoding GMM-Based Unsupervised Anomaly Detection in Acoustic Signals and its Hyper-Parameter Optimization.
Harsh PurohitRyo TanabeTakashi EndoKaori SuefusaYuki NikaidoYohei KawaguchiPublished in: DCASE (2020)
Keyphrases
- parameter optimization
- acoustic signals
- unsupervised anomaly detection
- anomaly detection
- acoustic signal
- semi supervised
- intrusion detection
- genetic algorithm ga
- differential evolution
- genetic algorithm
- parameter estimation
- parameter settings
- pattern mining
- support vector machine
- pairwise
- data sets
- neural network
- feature selection
- hyperparameters
- feature vectors
- incremental learning
- fitness function
- maximum likelihood
- genetic programming
- markov random field
- evolutionary algorithm