Tessellating the Latent Space for Non-Adversarial Generative Auto-Encoders.
Kuo GaiShihua ZhangPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2024)
Keyphrases
- latent space
- generative model
- gaussian process latent variable models
- low dimensional
- latent variables
- gaussian process
- probabilistic model
- lower dimensional
- high dimensional
- dimensionality reduction
- matrix factorization
- parameter space
- gaussian processes
- manifold learning
- transfer learning
- bayesian framework
- probabilistic latent semantic analysis
- feature space
- topic models
- em algorithm
- prior knowledge
- data sets
- latent dirichlet allocation
- high dimensional spaces
- unsupervised learning
- principal component analysis
- gaussian mixture
- reinforcement learning