Process monitoring using variational autoencoder for high-dimensional nonlinear processes.
Seulki LeeMingu KwakKwok-Leung TsuiSeoung Bum KimPublished in: Eng. Appl. Artif. Intell. (2019)
Keyphrases
- high dimensional
- image segmentation
- dimensionality reduction
- low dimensional
- high dimension
- data points
- similarity search
- high dimensional feature space
- multi dimensional
- artificial neural networks
- sparse data
- high dimensional data
- multiplicative noise removal
- neural network
- kernel principal component analysis
- input space
- process model
- parameter space
- metric space
- computational models
- manifold learning
- active contours
- variational methods
- optical flow
- feature space
- feature extraction
- computer vision