Squeezed Convolutional Variational AutoEncoder for Unsupervised Anomaly Detection in Edge Device Industrial Internet of Things.
Dohyung KimHyochang YangMinki ChungSungzoon ChoPublished in: CoRR (2017)
Keyphrases
- unsupervised anomaly detection
- anomaly detection
- restricted boltzmann machine
- semi supervised
- intrusion detection
- industrial applications
- white noise
- edge detection
- edge detector
- edge information
- image segmentation
- deep learning
- learning environment
- sparse coding
- key technologies
- physical world
- supervised learning
- mobile devices
- computer vision
- ubiquitous computing
- network architecture
- context aware
- location information
- multi dimensional
- variational methods
- free energy