Classification with Nonmetric Distances: Image Retrieval and Class Representation

  title={Classification with Nonmetric Distances: Image Retrieval and Class Representation},
  author={David W. Jacobs and Daphna Weinshall and Yoram Gdalyahu},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
ÐOne of the key problems in appearance-based vision is understanding how to use a set of labeled images to classify new images. Classification systems that can model human performance, or that use robust image matching methods, often make use of similarity judgments that are nonmetric; but when the triangle inequality is not obeyed, most existing pattern recognition techniques are not applicable. We note that exemplar-based (or nearest-neighbor) methods can be applied naturally when using a… CONTINUE READING
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