Learn Proportional Derivative Controllable Latent Space from Pixels.
Weiyao WangMarin KobilarovGregory D. HagerPublished in: CASE (2022)
Keyphrases
- latent space
- latent variables
- low dimensional
- gaussian process
- lower dimensional
- dimensionality reduction
- manifold learning
- generative model
- gaussian process latent variable models
- matrix factorization
- gaussian processes
- feature space
- transfer learning
- parameter space
- high dimensional
- probabilistic latent semantic analysis
- high dimensional data
- gaussian mixture
- distance metric
- input image
- high dimensional spaces
- data sets
- visual features
- semi supervised
- probabilistic model
- prior knowledge
- pairwise