Pyramid Match Kernels : Discriminative Classification with Sets of Image Features

@inproceedings{Grauman2005PyramidMK,
  title={Pyramid Match Kernels : Discriminative Classification with Sets of Image Features},
  author={Kristen Grauman and Trevor Darrell},
  year={2005}
}
Discriminative learning is challenging when examples are sets of local image features, and the sets vary in cardinality and lack any sort of meaningful ordering. Kernel-based classification methods can learn complex decision boundaries, but a kernel similarity measure for unordered set inputs must somehow solve for correspondences – generally a computationally expensive task that becomes impractical for large set sizes. We present a new fast kernel function which maps unordered feature sets to… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 32 references

Distinctive Image Features from Scale-Invariant Keypoints

International Journal of Computer Vision • 2004
View 7 Excerpts
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A Kernel Between Sets of Vectors

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View 5 Excerpts
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