Keyphrases
- locally linear embedding
- dimensionality reduction
- manifold learning
- high dimensional
- low dimensional
- nonlinear dimensionality reduction
- high dimensional data
- dimensional data
- laplacian eigenmaps
- principal components analysis
- principal component analysis
- dimensionality reduction methods
- subspace learning
- data points
- triangular mesh
- data sets
- orthogonal projection
- pattern recognition
- image classification
- semi supervised
- feature extraction
- image processing
- computer vision