Feature space versus empirical kernel map and row kernel space in SVMs.

Published 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