article · 2005

Tree-structured support vector machine with confusion cross for complex pattern recognition problems

Qinzhen Xu, Aiguo Song, Wenjiang Pei, Lüxi Yang, Zhenya He

Cited by 5Abstract and details only

Abstract

Support vector machines (SVMs) have gained wide acceptance because of the high generalization ability for a wide range of pattern recognition problems. We address problems associated with complex pattern recognition in this paper and present a tree-structured support vector machine (TSSVM) with confusion cross. A TSSVM is overall a binary tree, whose internal nodes are modular SVMs. Those two non-terminal nodes generated from the same parent node perform discounted confusion crossover. The presented approach is evaluated against other classifiers investigated lately. The performance of the proposed approach is demonstrated with some typical complex classification problems.

Cite this paper

APA 7

Xu, Q., Song, A., Pei, W., Yang, L., & He, Z. (2005). Tree-structured support vector machine with confusion cross for complex pattern recognition problems. https://doi.org/10.1109/iwvdvt.2005.1504584

MLA 9

Xu, Qinzhen, et al. “Tree-structured support vector machine with confusion cross for complex pattern recognition problems.” 2005, pp. 195–98, https://doi.org/10.1109/iwvdvt.2005.1504584.

Chicago

Xu, Qinzhen, Aiguo Song, Wenjiang Pei, Lüxi Yang, and Zhenya He. 2005. “Tree-structured support vector machine with confusion cross for complex pattern recognition problems.” https://doi.org/10.1109/iwvdvt.2005.1504584.

Harvard

Xu, Q. et al. (2005) ‘Tree-structured support vector machine with confusion cross for complex pattern recognition problems’. Available at: https://doi.org/10.1109/iwvdvt.2005.1504584.

BibTeX

@article{xu2005tree,
  title = {{Tree-structured support vector machine with confusion cross for complex pattern recognition problems}},
  author = {Xu, Qinzhen and Song, Aiguo and Pei, Wenjiang and Yang, Lüxi and He, Zhenya},
  pages = {195--198},
  year = {2005},
  doi = {10.1109/iwvdvt.2005.1504584}
}

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