1Learning Non-linear SVM in Input Space for Image Classification
Gaurav Sharma, Frédéric Jurie, Patrick Pérez · 2014
Abstract—The kernel trick enables learning of non-linear decision functions without having to explicitly map the original data to a high dimensional space. However, at test time, it requires evaluating the kernel with each one of the support vectors, which is time consuming. We propose a novel approach for learning non-linear support vector machine (SVM) corresponding to commonly used