Manifold Modeling with Learned Distance in Random Projection Space for Face Recognition.
Grigorios TsagkatakisAndreas E. SavakisPublished in: ICPR (2010)
Keyphrases
- random projections
- lower dimensional
- low dimensional
- face recognition
- principal component analysis
- dimensionality reduction
- sparse representation
- linear subspace
- dimension reduction
- principle component analysis
- high dimensional
- geodesic distance
- manifold learning
- linear discriminant analysis
- lossy image compression
- projection matrix
- high dimensional data
- feature extraction
- original data
- euclidean space
- random sampling
- feature space
- distance metric
- distance measure
- face images
- data points
- pattern recognition
- feature selection
- neural network
- data sets