Two-dimensional exponential discriminant analysis for small sample size in face recognition.
Nitin KumarR. K. AgrawalPublished in: Int. J. Artif. Intell. Soft Comput. (2016)
Keyphrases
- discriminant analysis
- small sample size
- face recognition
- linear discriminant analysis
- principal component analysis
- feature extraction
- face images
- dimension reduction
- fisher criterion
- dimensionality reduction
- kernel discriminant analysis
- high dimensional data
- discriminant information
- linear discriminant
- computer vision
- face databases
- neural network
- null space
- face space
- scatter matrices
- sparse representation
- discriminative information
- support vector machine svm
- locality preserving projections
- feature space
- support vector
- kernel fisher discriminant analysis
- high dimensionality
- face verification
- maximum likelihood