The Huffman-like Alignment in Manifold Learning.
Zhengming MaJing ChenPublished in: Int. J. Pattern Recognit. Artif. Intell. (2014)
Keyphrases
- manifold learning
- dimensionality reduction
- low dimensional
- dimension reduction
- nonlinear dimensionality reduction
- semi supervised
- feature extraction
- diffusion maps
- high dimensional
- subspace learning
- locally linear embedding
- high dimensional data
- sparse representation
- manifold structure
- feature space
- locality preserving
- head pose estimation
- dynamic time warping
- laplacian eigenmaps
- riemannian manifolds
- geodesic distance
- image retrieval
- discriminant projection
- manifold embedding
- manifold learning algorithm
- euclidean space
- locality preserving projections
- neural network
- supervised learning
- data points
- machine learning