Improved support vector classification using PCA and ICA feature space modification.
Jeff FortunaDavid W. CapsonPublished in: Pattern Recognit. (2004)
Keyphrases
- principal component analysis
- feature space
- independent component analysis
- support vector classification
- principle component analysis
- feature extraction
- independent components
- face recognition
- dimensionality reduction
- high dimensional
- dimension reduction
- support vector regression
- linear discriminant analysis
- principal components
- feature vectors
- blind source separation
- feature selection
- lower dimensional
- independent components analysis
- low dimensional
- signal processing
- kernel function
- classification accuracy
- kernel pca
- data points
- hyperplane
- training set
- kernel methods
- training samples
- support vector
- optimal solution
- kernel principal component analysis
- image segmentation
- subspace analysis
- image processing
- machine learning