An Efficient Incremental Kernel Principal Component Analysis for Online Feature Selection.
Yohei TakeuchiSeiichi OzawaShigeo AbePublished in: IJCNN (2007)
Keyphrases
- kernel principal component analysis
- feature selection
- feature extraction
- feature space
- kernel pca
- discriminant analysis
- principal components
- preprocessing
- kernel methods
- kernel function
- computer vision
- high dimensional feature space
- kernel matrix
- support vector machine svm
- dimensionality reduction
- high dimensional
- support vector
- face recognition
- data sets
- text classification
- support vector machine
- classification accuracy
- linear discriminant analysis
- feature vectors
- pattern recognition