Feature space versus empirical kernel map and row kernel space in SVMs.
Xun LiangPublished in: Neural Comput. Appl. (2010)
Keyphrases
- kernel space
- feature space
- hyperplane
- high dimensional
- kernel function
- input space
- principal components
- training samples
- maximum margin
- feature extraction
- feature selection
- machine learning
- classification accuracy
- feature vectors
- support vector
- maximum a posteriori
- dimensionality reduction
- data points
- kernel methods
- kernel matrix
- high dimensional feature space
- principal component analysis
- image processing
- informative features
- support vector machine
- reduced set