Multi-class Generalized Linear Discriminant for Race Classification


Perhaps a multi-class generalized linear discriminant (multi-GLD) will yield better performance.

  • Capable of approximating arbitrary decision boundaries.
  • May be able to make more efficient use of the sparse training data.
  • Recall that a c-class multi-GLD is essentially a linear machine; partitions the input feature space into c decision regions.

    So long as the training data for the non-White classes is sufficiently representative of the variation in the training set, it should be possible to define these partitions with relatively few examples.

     

 

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