Factoring out prior knowledge from low-dimensional embeddings.
Edith HeiterJonas FischerJilles VreekenPublished in: CoRR (2021)
Keyphrases
- low dimensional
- prior knowledge
- high dimensional
- manifold learning
- dimensionality reduction
- high dimensional data
- vector space
- dimension reduction
- principal component analysis
- feature space
- data points
- domain knowledge
- euclidean space
- multidimensional scaling
- low dimensional spaces
- input space
- prior information
- generative model
- bayesian framework
- linear subspace
- labeled data
- shape prior
- manifold structure
- image segmentation
- lower dimensional
- subspace learning
- latent space
- nonlinear dimensionality reduction