Patent Document ID: 8280828
Application ID: 12483391

Base Claim:
1. A method comprising: projecting a set of training vectors in a vector space to a comparison space defined by a set of reference vectors using a comparison function to generate a corresponding set of projected training vectors in the comparison space wherein the comparison function comprises a vector element comparison for each dimension of the vector space summed over the dimensions of the vector space; training a linear classifier on the set of projected training vectors to generate a trained linear classifier operative in the comparison space; and transforming the trained linear classifier operative in the comparison space into a trained nonlinear classifier operative in the vector space; wherein the projecting, the training, and the transforming are performed by a digital processing device.

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Claim 2:
2. The method as set forth in claim 1 , wherein the comparison function is selected from a group consisting of an L 1 distance, a squared L 2 distance, and a chi-squared distance.