Fisher Kernel Function

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A Fisher Kernel Function is a kernel function that measures the similarity of two objects on the basis of sets of measurements for each object and a statistical model.



References

2014

  1. Tommi Jaakkola and David Haussler (1998), Exploiting Generative Models in Discriminative Classifiers. In Advances in Neural Information Processing Systems 11, pages 487–493. MIT Press. ISBN 978-0-262-11245-1 PS, Citeseer