Figure 1. Conventional methods (e.g., refs ³ and ⁷) usually select features in the original input feature space and then learn a classifier based on the selected features (Top).

However, if a non-linear classification is intended, it is better to select the features that can best classify the data in the kernel space (Bottom). Here, denotes a non-linear mapping function.