Dual-kernel based 2D linear discriminant analysis for face recognition.
Xiaozhang LiuHongwei YePublished in: J. Ambient Intell. Humaniz. Comput. (2015)
Keyphrases
- linear discriminant analysis
- face recognition
- kernel discriminant analysis
- discriminant analysis
- kernel pca
- support vector
- principal component analysis
- dimension reduction
- dimensionality reduction
- small sample size
- discriminant features
- face images
- null space
- feature extraction
- linear discriminant
- recognition rate
- subspace methods
- feature space
- support vector machine svm
- high dimensional data
- kernel methods
- generalized discriminant analysis
- scatter matrix
- face databases
- feature analysis
- human faces
- recognition accuracy
- face detection
- discriminative information
- pattern recognition
- support vector machine
- data sets
- neural network
- computer vision
- fisher criterion
- training data
- face verification
- low dimensional
- kernel function
- sparse representation
- image processing
- subspace learning
- discriminant vectors