IAN: Iterated Adaptive Neighborhoods for Manifold Learning and Dimensionality Estimation.
Luciano DyballaSteven W. ZuckerPublished in: Neural Comput. (2023)
Keyphrases
- manifold learning
- dimensionality reduction
- high dimensional
- intrinsic dimensionality
- low dimensional
- nonlinear dimensionality reduction
- feature space
- subspace learning
- diffusion maps
- dimension reduction
- laplacian eigenmaps
- semi supervised
- manifold structure
- high dimensionality
- high dimensional data
- feature extraction
- dimensionality reduction methods
- manifold learning algorithm
- locality preserving
- discriminant projection
- sparse representation
- head pose estimation
- data points
- manifold embedding
- geodesic distance
- density estimation
- high dimensional spaces
- linear discriminant analysis
- singular value decomposition
- preprocessing
- low dimensional manifolds
- multiscale
- training data
- image processing
- nonlinear manifold
- computer vision