Kernel Subspace LDA with Optimized Kernel Parameters on Face Recognition.
Jian HuangPong Chi YuenWen-Sheng ChenJian-Huang LaiPublished in: FGR (2004)
Keyphrases
- kernel parameters
- face recognition
- linear discriminant analysis
- support vector
- subspace methods
- kernel function
- principal component analysis
- kernel methods
- linear subspace
- support vector machine
- feature space
- gaussian processes
- discriminant analysis
- subspace analysis
- subspace learning
- kernel machines
- feature extraction
- training process
- scatter matrices
- kernel pca
- dimensionality reduction
- high dimensional data
- face images
- regularization parameter
- dimension reduction
- kernel learning
- generalized discriminant analysis
- kernel matrix
- low dimensional
- feature selection
- sparse representation
- input space
- cross validation
- svm classifier
- classification accuracy
- high dimensional
- computer vision
- reproducing kernel hilbert space
- multi class
- neural network