Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space.
Alejandro Guerrero-LópezCarlos Sevilla-SalcedoVanessa Gómez-VerdejoPablo M. OlmosPublished in: CoRR (2022)
Keyphrases
- multi view
- factor analysis
- latent space
- matrix factorization
- d objects
- three dimensional
- latent variables
- denoising
- low dimensional
- cluster analysis
- semi supervised
- gaussian process
- high dimensional
- dimensionality reduction
- collaborative filtering
- recommender systems
- transfer learning
- manifold learning
- parameter space
- feature space
- image segmentation
- missing data
- pairwise
- probabilistic latent semantic analysis
- high dimensional data
- unsupervised learning
- maximum likelihood
- object recognition
- similarity measure
- gaussian processes
- negative matrix factorization