Context-dependent kernel design for object matching and recognition

@article{Sahbi2008ContextdependentKD,
  title={Context-dependent kernel design for object matching and recognition},
  author={Hichem Sahbi and Jean-Yves Audibert and Jaonary Rabarisoa and Renaud Keriven},
  journal={2008 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2008},
  pages={1-8}
}
The success of kernel methods including support vector networks (SVMs) strongly depends on the design of appropriate kernels. While initially kernels were designed in order to handle fixed-length data, their extension to unordered, variable-length data became more than necessary for real pattern recognition problems such as object recognition and bioinformatics. We focus in this paper on object recognition using a new type of kernel referred to as ldquocontext-dependentrdquo. Objects, seen as… CONTINUE READING
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