Tensor Component Analysis for Interpreting the Latent Space of GANs.
James OldfieldMarkos GeorgopoulosYannis PanagakisMihalis A. NicolaouIoannis PatrasPublished in: BMVC (2021)
Keyphrases
- component analysis
- latent space
- dimensionality reduction
- low dimensional
- latent variables
- factor analysis
- matrix factorization
- lower dimensional
- gaussian process
- manifold learning
- generative model
- high dimensional
- gaussian processes
- feature space
- high dimensional data
- parameter space
- blind source separation
- distance metric
- pattern recognition
- principal component analysis
- unsupervised learning
- feature extraction
- probabilistic latent semantic analysis
- transfer learning
- linear discriminant analysis
- semi supervised
- image processing
- feature selection
- image features