Filter Guided Manifold Optimization in the Autoencoder Latent Space.
Nate LannanGuoliang FanPublished in: CVPR Workshops (2019)
Keyphrases
- latent space
- low dimensional
- lower dimensional
- manifold structure
- manifold learning
- latent variables
- dimensionality reduction
- gaussian process
- feature space
- parameter space
- gaussian process latent variable models
- high dimensional
- high dimensional data
- matrix factorization
- principal component analysis
- feature selection
- data points
- gaussian processes
- pattern recognition
- reinforcement learning
- transfer learning
- visual features
- data analysis
- probabilistic latent semantic analysis
- feature extraction
- nonlinear dimensionality reduction
- image processing