Non-Mercer Kernels for SVM Object Recognition

@inproceedings{Boughorbel2004NonMercerKF,
  title={Non-Mercer Kernels for SVM Object Recognition},
  author={Sabri Boughorbel and Jean-Philippe Tarel and François Fleuret},
  booktitle={BMVC},
  year={2004}
}
On the one hand, Support Vector Machines have met with significant success in solving difficult pattern recognition problems with global features representation. On the other hand, local features in images have shown to be suitable representations for efficient object recognition. Therefore, it is natural to try to combine SVM approach with local features representation to gain advantages on both sides. We study in this paper the Mercer property of matching kernels which mimic classical… CONTINUE READING
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