Learning Discriminative Fisher Kernels

  title={Learning Discriminative Fisher Kernels},
  author={Laurens van der Maaten},
Fisher kernels provide a commonly used vectorial representation of structured objects. The paper presents a technique that exploits label information to improve the object representation of Fisher kernels by employing ideas from metric learning. In particular, the new technique trains a generative model in such a way that the distance between the log-likelihood gradients induced by two objects with the same label is as small as possible, and the distance between the gradients induced by two… CONTINUE READING
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