Locality-preserving Directions for Interpreting the Latent Space of Satellite Image GANs.
Georgia KourmouliNikos KostagiolasYannis PanagakisMihalis A. NicolaouPublished in: CoRR (2023)
Keyphrases
- latent space
- manifold structure
- manifold learning
- remote sensing
- low dimensional
- latent variables
- dimensionality reduction
- gaussian process
- lower dimensional
- parameter space
- high dimensional
- generative model
- gaussian processes
- probabilistic latent semantic analysis
- matrix factorization
- feature space
- distance metric
- transfer learning
- high dimensional data
- regression model
- principal component analysis
- probabilistic model
- feature extraction
- collaborative filtering
- image processing
- information retrieval
- model selection
- co occurrence
- gaussian mixture
- prior knowledge
- recommender systems