Domain density description for multiclass pattern classification with reduced computational load

@article{Kang2008DomainDD,
  title={Domain density description for multiclass pattern classification with reduced computational load},
  author={Woo-Sung Kang and Jin Young Choi},
  journal={Pattern Recognition},
  year={2008},
  volume={41},
  pages={1997-2009}
}
We propose a novel classification method that can reduce the computational cost of training and testing for multiclass problems. The proposed method uses the distance in feature space between a test sample and high-density region or domain that can be described by support vector learning. The proposed method shows faster training speed and has ability to represent the nonlinearity of data structure using a smaller percentage of available data sample than the existing methods for multiclass… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 27 references

Binary tree of SVM: a new fast multiclass training and classification algorithm

IEEE Transactions on Neural Networks • 2006
View 10 Excerpts
Highly Influenced

Half-Against-Half Multi-class Support Vector Machines

Multiple Classifier Systems • 2005
View 10 Excerpts
Highly Influenced

In Defense of One-Vs-All Classification

Journal of Machine Learning Research • 2004
View 16 Excerpts
Highly Influenced

Statistical learning theory

View 20 Excerpts
Highly Influenced

PCA-based feature extraction using class information

2005 IEEE International Conference on Systems, Man and Cybernetics • 2005
View 2 Excerpts
Highly Influenced

Support Vector Data Description

Machine Learning • 2004
View 15 Excerpts
Highly Influenced

Support vector domain description

Pattern Recognition Letters • 1999
View 16 Excerpts
Highly Influenced