Neighbourhood Discriminant Locally Linear Embedding in Face Recognition.
Ying-Han PangAndrew Teoh Beng JinEng Kiong WongPublished in: CGIV (2008)
Keyphrases
- locality preserving projections
- locally linear embedding
- face recognition
- principal component analysis
- dimensionality reduction
- low dimensional
- manifold learning
- neighborhood preserving embedding
- discriminant analysis
- nonlinear dimensionality reduction
- high dimensional
- high dimensional data
- linear discriminant analysis
- subspace learning
- dimensionality reduction methods
- facial pose
- face images
- laplacian eigenmaps
- dimensional data
- geodesic distance
- dimension reduction
- principal components analysis
- principal components
- data points
- feature extraction
- computer vision
- triangular mesh
- preprocessing step
- covariance matrix
- semi supervised