Projecting to Manifolds via Unsupervised Learning.
Howard HeatonSamy Wu FungAlex Tong LinStanley J. OsherWotao YinPublished in: CoRR (2020)
Keyphrases
- unsupervised learning
- supervised learning
- semi supervised
- manifold learning
- semi supervised learning
- low dimensional
- dimensionality reduction
- euclidean space
- sparse coding
- deep learning
- text classification
- machine learning
- principal curves
- cell complexes
- object recognition
- data sets
- arbitrary dimension
- lower dimensional
- deep architectures
- dimension reduction
- model selection
- expectation maximization
- high dimensional
- riemannian manifolds
- manifold structure
- nonlinear dimensionality reduction
- probabilistic model
- locally linear
- manifold alignment
- image segmentation