Product Manifold Learning with Independent Coordinate Selection.
Jesse HeTristan BrugèreGal MishnePublished in: TAG-ML (2023)
Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- high dimensional
- semi supervised
- feature extraction
- nonlinear dimensionality reduction
- diffusion maps
- subspace learning
- dimension reduction
- high dimensional data
- manifold structure
- discriminant projection
- head pose estimation
- laplacian eigenmaps
- locality preserving
- geodesic distance
- sparse representation
- data sets
- feature space
- locality preserving projections
- pattern recognition
- manifold embedding
- machine learning
- latent space
- principal component analysis
- object recognition
- multiscale
- decision trees