An efficient face recognition approach combining likelihood-based sufficient dimension reduction and LDA.
Abdallah BenouarethPublished in: Multim. Tools Appl. (2021)
Keyphrases
- dimension reduction
- linear discriminant analysis
- face recognition
- principal component analysis
- discriminant analysis
- feature extraction
- dimensionality reduction
- small sample size
- face images
- high dimensional problems
- high dimensional data
- feature space
- manifold learning
- discriminative information
- locality preserving projections
- subspace methods
- maximum likelihood
- random projections
- classical linear discriminant analysis
- support vector machine svm
- high dimensional
- null space
- low dimensional
- singular value decomposition
- feature selection
- face databases
- principle component analysis
- sparse representation
- high dimensionality
- object recognition
- pattern recognition
- support vector
- image processing