Shared Latent Space of Font Shapes and Their Noisy Impressions.
Jihun KangDaichi HaraguchiSeiya MatsudaAkisato KimuraSeiichi UchidaPublished in: MMM (2) (2022)
Keyphrases
- latent space
- gaussian process latent variable models
- low dimensional
- latent variables
- dimensionality reduction
- gaussian process
- lower dimensional
- high dimensional
- generative model
- manifold learning
- shape analysis
- parameter space
- gaussian processes
- matrix factorization
- feature space
- high dimensional data
- principal component analysis
- probabilistic latent semantic analysis
- distance metric
- transfer learning
- gaussian mixture
- high dimensional spaces
- prior knowledge
- data sets
- topic models
- input data
- data points