Latent Space is Feature Space: Regularization Term for GANs Training on Limited Dataset.
Pengwei WangPublished in: CoRR (2022)
Keyphrases
- latent space
- regularization term
- feature space
- training samples
- low dimensional
- training set
- lower dimensional
- cost function
- dimensionality reduction
- energy functional
- objective function
- regularization parameter
- total variation
- loss function
- high dimensional
- energy function
- manifold learning
- principal component analysis
- latent variables
- feature extraction
- dimension reduction
- parameter space
- matrix factorization
- kernel function
- generative model
- feature selection
- high dimensional data
- gaussian process
- transfer learning
- image restoration
- training data