Distributed kernel Fisher discriminant analysis for radar image recognition

@article{Fu2011DistributedKF,
  title={Distributed kernel Fisher discriminant analysis for radar image recognition},
  author={Jiansheng Fu and Wanlin Yang},
  journal={2011 Second International Conference on Mechanic Automation and Control Engineering},
  year={2011},
  pages={1241-1244}
}
In this paper, an extension of kernel Fisher discriminant (KFD), namely, distributed KFD (DKFD), is proposed for multi-class cases. Unlike the generalized discriminant analysis (GDA) which deals with all classes synchronously, DKFD uses a cost—normalized KFD for two-class problems and thereby covers the whole system by the KFD units. Based on DKFD, three new models, i.e., active DKFD (A-DKFD), passive DKFD (P-DKFD) and global DKFD (G-DKFD), are proposed for classification. Theoretically… CONTINUE READING

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References

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Showing 1-10 of 12 references

Pattern Recognition (Fourth Ed.)

  • S. Theodoridis, K. Koutroumbas
  • 2009
Highly Influential
3 Excerpts

Modeling ecognizing ehavior of adar igh esolution ange rofile sing ulti- gent ystem,

  • J. Fu, K. Liao, D. Zhou, W Yang
  • WSEAS Trans. Inf. Sci. Appl., ol
  • 2010
3 Excerpts

Radar Target Backscattering Simulation Software and User’s Manual

  • S. A. Gorshkov, S. P. Leschenko, V. M. Orlenko, S. Y. Sedyshev, Y. D. Shirman
  • Boston, CA: Artech House
  • 2002
1 Excerpt

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