On the benefits of defining vicinal distributions in latent space.
Puneet ManglaVedant SinghShreyas Jayant HavaldarVineeth BalasubramanianPublished in: Pattern Recognit. Lett. (2021)
Keyphrases
- latent space
- latent variables
- low dimensional
- gaussian process
- lower dimensional
- dimensionality reduction
- feature space
- generative model
- parameter space
- manifold learning
- high dimensional
- transfer learning
- matrix factorization
- gaussian processes
- distance metric
- probabilistic latent semantic analysis
- gaussian mixture
- gaussian process latent variable models
- random variables
- pattern recognition
- high dimensional data
- maximum likelihood
- original data
- random projections
- semi supervised
- pairwise
- machine learning