Sparseness methods of support vector machines

Junfei Li; Yiqin Zhang

doi:10.1117/12.2623869

6 February 2022 Sparseness methods of support vector machines

Junfei Li, Yiqin Zhang

Proceedings Volume 12081, Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021); 120810X (2022) https://doi.org/10.1117/12.2623869
Event: Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), 2021, Chongqing, China

Abstract

The rapid sparseness for support vector set of support vector machine is required in some specific application scenarios. After extensive research and comparison of the common similarity measurement methods between different samples, four methods are proposed in this paper according to the principles of cosine and Mahalanobis distance, and simulation experiments have verified the effectiveness of these methods.

Citation Download Citation

Junfei Li and Yiqin Zhang "Sparseness methods of support vector machines", Proc. SPIE 12081, Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), 120810X (6 February 2022); https://doi.org/10.1117/12.2623869

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