A Survey of Manifold Learning for Images.
Robert PlessRichard SouvenirPublished in: IPSJ Trans. Comput. Vis. Appl. (2009)
Keyphrases
- manifold learning
- image data
- input image
- image features
- dimensionality reduction
- image retrieval
- low dimensional
- high dimensional image space
- diffusion maps
- image classification
- high dimensional data
- neural network
- nonlinear dimensionality reduction
- dimension reduction
- riemannian manifolds
- sparse representation
- laplacian eigenmaps
- head pose estimation
- manifold embedding
- locally linear embedding
- subspace learning
- geodesic distance
- point cloud
- feature vectors
- feature space
- preprocessing
- data mining