Kernel nearest-farthest subspace classifier for face recognition.
Lin-Lin TangZuohua LiJingyong SuHuifen LuZhangyan LiZhen PangYong ZhangPublished in: Multim. Tools Appl. (2019)
Keyphrases
- feature space
- face recognition
- generalized discriminant analysis
- kernel pca
- principal component analysis
- linear subspace
- kernel based nonlinear
- subspace methods
- subspace learning
- linear discriminant analysis
- kernel function
- support vector
- discriminant analysis
- linear classifiers
- kernel discriminant analysis
- face images
- feature extraction
- data points
- multiple kernel learning
- subspace analysis
- dimensionality reduction
- multi class
- lower dimensional
- training samples
- nearest neighbor
- computer vision
- training set
- test sample
- high dimensional data
- low dimensional
- feature set
- support vector machine
- feature selection
- fisher linear discriminant
- kernel space
- kernel trick
- hilbert space
- nearest feature line
- human faces
- kernel methods
- subspace clustering
- canonical correlations
- svm classifier
- euclidean distance
- local binary pattern
- face databases
- nearest neighbour
- kernel matrix
- principal components
- high dimensional feature space
- input data
- face detection
- classification method
- k nearest
- hyperplane
- dot product
- high dimensional
- feature vectors
- class labels
- feature maps
- correlation filters
- principle component analysis
- facial images