A Discriminative Bayesian Gaussian Process Latent Variable Model for High-Dimensional Data.
Navid ZiaeiBehzad NazariAli YousefiPublished in: CoRR (2024)
Keyphrases
- high dimensional data
- gaussian process latent variable models
- low dimensional
- latent space
- high dimensional
- dimensionality reduction
- lower dimensional
- data sets
- similarity search
- dimension reduction
- manifold learning
- data points
- high dimensional spaces
- high dimensionality
- principal component analysis
- bayesian networks
- original data
- dimensional data
- feature space
- data analysis
- nearest neighbor
- euclidean space
- linear discriminant analysis
- missing values
- higher dimensional
- random projections
- gaussian processes
- pairwise
- maximum likelihood
- multi dimensional
- gaussian process
- pattern recognition