Manifold learning by a deep Gaussian process autoencoder.
Francesco CamastraAngelo CasolaroGennaro IannuzzoPublished in: Neural Comput. Appl. (2023)
Keyphrases
- manifold learning
- gaussian process
- semi supervised
- gaussian processes
- dimensionality reduction
- regression model
- bayesian framework
- low dimensional
- hyperparameters
- high dimensional
- dimension reduction
- latent variables
- active learning
- model selection
- feature extraction
- unsupervised learning
- high dimensional data
- latent space
- supervised learning
- sparse representation
- image processing
- machine learning
- generative model
- maximum likelihood
- bayesian inference
- incomplete data
- higher order
- pairwise
- multiscale