Sparse kernel principal component analysis based on elastic net regularization.
Duo WangToshihisa TanakaPublished in: IJCNN (2016)
Keyphrases
- elastic net
- kernel principal component analysis
- regularized regression
- principal components
- kernel pca
- kernel learning
- kernel function
- topology preserving
- discriminant analysis
- kernel methods
- preprocessing
- kernel matrix
- regularization parameter
- feature extraction
- linear support vector machines
- principal component analysis
- multiple kernel learning
- feature space
- high dimensional
- face recognition
- linear discriminant analysis
- machine learning
- training data
- support vector
- dimensionality reduction
- input space
- neural network
- feature vectors
- image restoration
- support vector machine svm