Face Recognition Based on Discriminative Manifold Learning.
Yiming WuKap Luk ChanLei WangPublished in: ICPR (4) (2004)
Keyphrases
- manifold learning
- face recognition
- feature extraction
- locality preserving
- semi supervised
- discriminant embedding
- subspace learning
- sparse representation
- locality preserving projections
- dimensionality reduction
- low dimensional
- latent space
- dimension reduction
- diffusion maps
- discriminant analysis
- nonlinear dimensionality reduction
- face images
- linear discriminant analysis
- high dimensional
- laplacian eigenmaps
- linear subspace
- discriminative information
- manifold structure
- head pose estimation
- unsupervised learning
- principal component analysis
- computer vision
- facial images
- feature space
- pairwise
- high dimensional data
- face databases
- pattern recognition
- discriminating power
- signal processing
- image classification
- semi supervised learning
- geodesic distance
- support vector machine svm
- riemannian manifolds
- graph embedding
- supervised learning
- face detection
- low dimensional manifolds
- high dimensionality
- pose variations
- machine learning
- neighborhood preserving embedding