Paper
30 October 2009 An incremental learning algorithm based on Support Vector Machine for pattern recognition
Lamei Zou, Tianxu Zhang, Zhiguo Cao
Author Affiliations +
Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 74961H (2009) https://doi.org/10.1117/12.832348
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
With the advent of information age, especially with the rapid development of network, "information explosion" problem has emerged. How to improve the classifier's training precision steadily with accumulation of the samples is the original idea of the incremental learning. Support Vector Machine (SVM) has been successfully applied in many pattern recognition fields. While its complex computation is the bottle-neck to deal with large-scale data. It's important to do researches on the SVM's incremental learning. This article proposes a SVM's incremental learning algorithm based on the filtering fixed partition of the data set. This article firstly presents "Two-class problem"s algorithm and then generalizes it to the "Multiclass problem" algorithm by the One-vs-One method. The experimental results on three types of data sets' classification show that the proposed incremental learning technique can greatly improve the efficiency of SVM learning. SVM Incremental learning can not only ensure the correct identification rate but also speedup the training process.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lamei Zou, Tianxu Zhang, and Zhiguo Cao "An incremental learning algorithm based on Support Vector Machine for pattern recognition", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74961H (30 October 2009); https://doi.org/10.1117/12.832348
Lens.org Logo
CITATIONS
Cited by 6 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Detection and tracking algorithms

Pattern recognition

Evolutionary algorithms

Image classification

Statistical analysis

Analytical research

Computer programming

Back to Top