Hausdorff Kernel for 3D Object Acquisition and Detection

  title={Hausdorff Kernel for 3D Object Acquisition and Detection},
  author={Annalisa Barla and Francesca Odone and Alessandro Verri},
Learning one class at a time can be seen as an effective solution to classification problems in which only the positive examples are easily identifiable. A kernel method to accomplish this goal consists of a representation stage which computes the smallest sphere in feature space enclosing the positive examples and a classification stage which uses the obtained sphere as a decision surface to determine the positivity of new examples. In this paper we describe a kernel well suited to represent… CONTINUE READING
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