Modelling nonlinear dependencies in the latent space of inverse scattering.
Juliusz ZiomekKatayoun FarrahiPublished in: CoRR (2022)
Keyphrases
- gaussian process latent variable models
- latent space
- low dimensional
- latent variables
- gaussian process
- high dimensional
- dimensionality reduction
- lower dimensional
- manifold learning
- generative model
- feature space
- parameter space
- probabilistic latent semantic analysis
- gaussian processes
- data sets
- high dimensional data
- principal component analysis
- probabilistic model
- distance metric
- hyperparameters
- search space