Kernel Subspace LDA with Self-Constructed Mercer Kernel for Face Recognition.
Xuehui XieWen-Sheng ChenBo ChenHui LiuPublished in: CIS (1) (2008)
Keyphrases
- mercer kernel
- kernel principal component analysis
- face recognition
- linear discriminant analysis
- principal component analysis
- kernel pca
- feature space
- subspace methods
- discriminant analysis
- kernel methods
- feature extraction
- linear subspace
- principal components
- dimensionality reduction
- kernel function
- support vector machine
- fuzzy c means
- face images
- subspace analysis
- subspace learning
- low dimensional
- high dimensional data
- null space
- high dimensional
- face databases
- lower dimensional
- face detection
- scatter matrices
- facial images
- support vector
- feature selection
- kernel matrix
- facial expressions
- human faces
- feature vectors
- local binary pattern
- principle component analysis
- preprocessing
- input space
- data points