A set of new Chebyshev kernel functions for support vector machine pattern classification

@article{Ozer2011ASO,
  title={A set of new Chebyshev kernel functions for support vector machine pattern classification},
  author={Sedat Ozer and Chi Hau Chen and Hakan A. Çirpan},
  journal={Pattern Recognition},
  year={2011},
  volume={44},
  pages={1435-1447}
}
ll rights reserved. Recently the Chebyshev kernel has been proposed for SVM and it has been proven that it is a valid kernel for scalar valued inputs in [11]. However in pattern recognition, many applications require multidimensional vector inputs. Therefore there is a need to extend the previous work onto vector inputs. In [11], although it is not stated explicitly, the authors recommend evaluating the kernel function on each element pair and then multiplying the outputs (see Chapter V… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 18 references

X

  • S. Ozer, D. L. Langer
  • Liu, M.A. Haider, T.H. van der Kwast, A.J. Evans…
  • 2010
1 Excerpt

On the classification performance of support vector machines using Chebyshev kernel functions

  • S. Ozer
  • M.Sc. Thesis, University of Massachusetts…
  • 2007
2 Excerpts

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