article · 2007

A Fast Multi-Class Support Vector Machine

Cited by 4Abstract and details only

Abstract

A binary encoding based fast multi-class support vector machine(SVM)is introduced.How to avoid the uneven class size of each SVM in the multi-classification system is discussed based on the encoding method.Then the strategy of searching the optimal division of different classes is proposed.Thus,with little loss of accuracy the system has a higher classification speed than the traditional ones.Therefore,the classifier is suitable for real time or online systems.Finally,the introduced classification system is evaluated by experiments.

Cite this paper

APA 7

Li, J. (2007). A Fast Multi-Class Support Vector Machine.

MLA 9

Li, Jian. “A Fast Multi-Class Support Vector Machine.” 2007.

Chicago

Li, Jian. 2007. “A Fast Multi-Class Support Vector Machine.”

Harvard

Li, J. (2007) ‘A Fast Multi-Class Support Vector Machine’.

BibTeX

@article{li2007fast,
  title = {{A Fast Multi-Class Support Vector Machine}},
  author = {Li, Jian},
  year = {2007}
}

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