Concept Lattices : a Tool for Supervised Classification ? Stéphanie

نویسندگان

  • Stéphanie Guillas
  • Karell Bertet
  • Jean-Marc Ogier
چکیده

In this paper, we present the problem of noisy images recognition and in particular the stage of primitives selection in a classification process. We suppose that segmentation and statistical features extraction on documentary images are realized. We describe precisely the use of concept lattice and compare it with a decision tree in a recognition process. From the experimental results, it appears that concept lattice is more adapted to the context of noisy images.

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تاریخ انتشار 2005