Author ' s personal copy Large margin classifiers based on affine hulls

  title={Author ' s personal copy Large margin classifiers based on affine hulls},
  author={Hakan Cevikalp and Bill Triggs and H. Serhan Yavuz and Mahide K{\"u}c and {\"u}k and Atalay Barkana},
This paper introduces a geometrically inspired large margin classifier that can be a better alternative to the support vector machines (SVMs) for the classification problems with limited number of training samples. In contrast to the SVM classifier, we approximate classes with affine hulls of their class samples rather than convex hulls. For any pair of classes approximated with affine hulls, we introduce two solutions to find the best separating hyperplane between them. In the first proposed… CONTINUE READING
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