computationally. Suffering from slow training convergence on large datasets, SVM online
testing time can be suboptimal because SVM write the classifier hyper-plane model as a
sum of support vectors that could total as much as half the datasets. Motivated to speed up
SVM real time testing by reducing the number of SV, we introduce in this paper a novel local
mixture based SVM (LMSVM) approach that exploits the increased separability provided by …