Rate-distortion optimization guided autoencoder for isometric embedding in Euclidean latent space.
Keizo KatoJing ZhouTomotake SasakiAkira NakagawaPublished in: ICML (2020)
Keyphrases
- latent space
- low dimensional
- euclidean space
- manifold learning
- dimensionality reduction
- high dimensional
- latent variables
- rate distortion
- bit rate
- high dimensional data
- lower dimensional
- gaussian process
- gaussian process latent variable models
- euclidean distance
- rate control
- inter frame
- feature space
- gaussian processes
- video coding
- vector space
- generative model
- matrix factorization
- distance metric
- principal component analysis
- dimension reduction
- transfer learning
- coding method
- data points
- high dimensional spaces
- gaussian mixture
- probabilistic latent semantic analysis
- pattern recognition
- feature extraction
- motion estimation
- multiresolution