High-dimensional Nonlinear Profile Monitoring based on Deep Probabilistic Autoencoders.
Nurettin SerginHao YanPublished in: CoRR (2019)
Keyphrases
- high dimensional
- gaussian process latent variable models
- denoising
- high dimension
- high dimensional feature space
- monitoring system
- low dimensional
- real time
- generative model
- multi dimensional
- probabilistic model
- feature space
- similarity search
- early warning
- belief networks
- metric space
- deep learning
- bayesian networks
- high dimensionality
- user profiles
- parameter space
- sparse coding
- noisy data
- input space
- uncertain data
- gene expression data
- variable selection
- probabilistic logic
- handwritten digits
- high dimensional data
- decision support
- deep belief networks
- dimensionality reduction