A Gaussian Approximation of Feature Space for Fast Image Similarity

@inproceedings{Gharbi2012AGA,
  title={A Gaussian Approximation of Feature Space for Fast Image Similarity},
  author={Michael Gharbi and Tomasz Malisiewicz and Sylvain Paris and F. Durand},
  year={2012}
}
We introduce a fast technique for the robust computation of image similarity. It builds on a re-interpretation of the recent exemplar-based SVM approach, where a linear SVM is trained at a query point and distance is computed as the dot product with the normal to the separating hyperplane. Although exemplar-based SVM is slow because it requires a new training for each exemplar, the latter approach has shown robustness for image retrieval and object classification, yielding state-ofthe-art… CONTINUE READING
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