Sparsity Preserving Embedding with Manifold Learning and Discriminant Analysis.
Qian LiuChao LanXiao-Yuan JingShi-Qiang GaoDavid ZhangJing-Yu YangPublished in: IEICE Trans. Inf. Syst. (2012)
Keyphrases
- discriminant analysis
- manifold learning
- nonlinear dimensionality reduction
- laplacian eigenmaps
- sparse representation
- high dimensional
- feature extraction
- graph embedding
- manifold embedding
- face recognition
- linear discriminant analysis
- embedding space
- dimensionality reduction
- low dimensional
- dimensionality reduction methods
- dimension reduction
- locality preserving projections
- subspace learning
- principal component analysis
- latent space
- high dimensional data
- geodesic distance
- semi supervised
- discriminant projection
- manifold structure
- locality preserving
- cluster analysis
- signal processing
- computer vision
- fisher criterion
- pattern recognition
- preprocessing
- locally linear embedding
- input space
- face images
- data points
- image classification
- riemannian manifolds
- sparse coding
- image processing
- random projections