1. Bennett, K.P., Bredensteiner, E.J., 2000. Duality and geometry in SVM classifiers. Int. Conf. Machine Learn.
2. A tutorial on support vector machines for pattern recognition;Burges;Data Mining Knowl. Discovery,1998
3. A hierarchical classifier using new support vector machines for automatic target recognition;Casasent;Neural Networks,2005
4. Chen, Y., Crawford, M.M., Ghosh, J., 2004. Integrating support vector machines in a hierarchical output space decomposition framework. In: Proc. 2004 Int. Geosci. Remote Sensing Symp., pp. 949–952.
5. Support vector networks;Cortes;Machine Learning,1995