Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds.
Alexandrine RibeiroLuís Miguel MatosPedro José PereiraEduardo C. NunesAndré L. FerreiraPaulo CortezAndré Luiz PilastriPublished in: CoRR (2020)
Keyphrases
- deep belief networks
- unsupervised anomaly detection
- anomaly detection
- semi supervised
- deep learning
- unsupervised learning
- restricted boltzmann machine
- denoising
- probabilistic model
- intrusion detection
- generative model
- hierarchical models
- sparse coding
- sufficient conditions
- data sets
- active learning
- batch processing
- unsupervised feature learning
- natural images
- supervised learning
- network architecture
- data streams
- image processing
- learning algorithm
- data mining