References
- Vapnik, V. N., Statistical Learning Theory, John Wiley & Sons, 1998.
- Gomes Filho, J., Raffo, M., Strum, M., and Wan Jiang Chau, "A General-purpose Dynamically Reconfigulable SVM," 2010 VI Southern Programmable Logic Conference, pp.107-112, Mar., 2010.
- Papadonikolakis, M. and Bougamis, C., "A Novel FPGA-based SVM Classifier," Fieldprogrammable Technology, IEEE International conference on, pp.283-286, Dec., 2010.
- Kyrkou, C. and Theocharides, T., "Scope: Towards a Systolic Array for SVM Object Detection," IEEE Embedded Systems Letters, Vol. 1, No. 2, pp.46-49, Aug., 2009. https://doi.org/10.1109/LES.2009.2034709
- Demir, B. and Erturk, S., "Improving SVM Classification Accuracy using a Hierarchical Approach for Hyperspectal Images," Image Processing, IEEE International Conference on, pp.2849-2852, Nov., 2009.
- Hsu, C. F., Mong-Kai Ku, and Li Yen Liu, "Support Vector Machine FPGA Implemantation for Video Shot Boundary Detection Application," IEEE International SoC Conference, pp.239-242, Sep., 2009.
- Ruiz-Llata, M., Guarnizo, G., and Yebenes-Calvino. M, "FPGA Implementation of a Support Vector Machine for Classification and Regression," Neural Networks, International Joint Conference on, pp.1- 5, Jul., 2010.
- Irick, K., DeBole, M., Narayanan, V., and Gayasen, A., "A Hardware Efficient Support Vector Machine Architecture for FPGA," Field-programmable Custom Computing Machines, International Symposium on, pp.304-305, Apr., 2008.
- Manikandan, J. and Venkataramani, B., "Design of a Modified One-against-all SVM Classifier," Systems, Man, and Cybernetics, IEEE International Conference on, pp.1869-1874, Oct., 2009.
- Kyrkou, C. and Theocharides, T., "A Parallel Hardware Architecture for Real-time Object Detection with Support Vector Machines," Computers , IEEE Transactions on, pp.1-12, 2011.
- Omar, P., Raquel, V., and Oscar. Y, "An FPGA Implementation of Linear Kernel Support Vector Machines," Reconfigurable Computing and FPGA's, IEEE International Conference on, pp.1-6, Sep., 2006.
- Reyna, R. A., Esteve, D., Houzet, D., and Albenge, M. F., "Implementation of the SVM Neural Network Generalization Function for Image Processing," Computer Architectures for Machine Perception, Proceedings of IEEE International Workshop on, pp.147-151, Sep., 2000.
- Dalal, N. and Triggs, B., "Histograms of Oriented Gradients for Human Detection," Computer Vision and Patttern Recognition, IEEE Computer Society Conference on, Vol. 1, pp.886-893, Jun., 2005.
- Tang, P. T. P., "Table-driven Implemantation of the Exponential Function in IEEE Floating-point Arithmetic," Mathematical Software, ACM Trans. on, Vol. 16, No. 2, pp.144-157, Jun., 1989.