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Eliminating invariances by preprocessing for kernel-based methods

  • US 6,112,195 A
  • Filed: 03/27/1997
  • Issued: 08/29/2000
  • Est. Priority Date: 03/27/1997
  • Status: Expired due to Term
First Claim
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1. An improved method for implementing a local invariance for use in a kernel-based classifier system, the improvement comprising the step of:

  • incorporating the local invariance in such a way that a resulting dimension of each feature vector is fixed and wherein that dimension is equal to the dimension of input data minus the number of degrees of freedom in the local invariance;

    wherein the input data is of dimension N and the provided data is of dimension M, where M<

    N.

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