manifold learning.
Theodoulos RodosthenousVahid ShahrezaeiMarina EvangelouPublished in: PeerJ Comput. Sci. (2024)
Keyphrases
- manifold learning
- semi supervised
- dimensionality reduction
- low dimensional
- nonlinear dimensionality reduction
- high dimensional
- laplacian eigenmaps
- subspace learning
- feature extraction
- dimension reduction
- head pose estimation
- manifold learning algorithm
- diffusion maps
- high dimensional data
- manifold structure
- low dimensional manifolds
- discriminant projection
- discriminant embedding
- embedding space
- locality preserving
- sparse representation
- locally linear embedding
- data sets
- semi supervised learning
- image classification
- supervised learning
- pairwise
- feature space
- training data
- computer vision
- data mining