GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures.
Gaëtan HadjeresFrank NielsenFrançois PachetPublished in: CoRR (2017)
Keyphrases
- latent space
- latent variables
- gaussian process
- low dimensional
- feature space
- dimensionality reduction
- parameter space
- gaussian processes
- matrix factorization
- generative model
- gaussian process latent variable models
- distance metric
- manifold learning
- high dimensional
- lower dimensional
- probabilistic latent semantic analysis
- transfer learning
- prior information
- high dimensional data
- probabilistic model
- distance transform
- image segmentation
- machine learning
- bayesian framework
- latent semantic analysis
- high dimensional spaces
- data sets