A new incremental learning algorithm based on Support Vector Machines

Zuying Miao; Nong Sang

doi:10.1117/12.832552

30 October 2009 A new incremental learning algorithm based on Support Vector Machines

Zuying Miao, Nong Sang

Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 749615 (2009) https://doi.org/10.1117/12.832552
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

In this paper, we first analyzed the possible change of support vector set after new samples are added, then presented a new support vector machine incremental learning algorithm. This algorithm reconstructed SVM classifier through the selection of training samples in incremental learning based on change regularity of support vectors after new samples are added. Finally, the algorithm has a higher classification accuracy than traditional SVM incremental algorithms through experimental verification.

Citation Download Citation

Zuying Miao and Nong Sang "A new incremental learning algorithm based on Support Vector Machines", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 749615 (30 October 2009); https://doi.org/10.1117/12.832552

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