System and method for composite distance metric leveraging multiple expert judgments
First Claim
Patent Images
1. A method for processing data, comprising:
- converting base distance metrics from a plurality of sources into neighborhoods for comparison, wherein each base distance metric represents an expert and each neighborhood represents an individual similarity measure of the expert;
combining the neighborhoods to leverage the local discriminalities of all base distance metrics using a processor by applying at least one iterative process to output a composite distance metric; and
providing the composite distance metric back to each expert to compare to the individual similarity measure.
1 Assignment
0 Petitions
Accused Products
Abstract
A system and method for a composite distance metric leveraging multiple expert judgments includes inputting a data distribution of multiple expert judgments stored on a computer readable storage medium. Base distance metrics are converted into neighborhoods for comparison, wherein each base distance metric represents an expert and each neighborhood represents an individual similarity measure of the expert. The neighborhoods are combined to leverage the local discriminalities of all base distance metrics by applying at least one iterative process to output a composite distance metric.
-
Citations
20 Claims
-
1. A method for processing data, comprising:
-
converting base distance metrics from a plurality of sources into neighborhoods for comparison, wherein each base distance metric represents an expert and each neighborhood represents an individual similarity measure of the expert; combining the neighborhoods to leverage the local discriminalities of all base distance metrics using a processor by applying at least one iterative process to output a composite distance metric; and providing the composite distance metric back to each expert to compare to the individual similarity measure. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
-
-
10. A system for processing data, comprising:
-
a neighborhood formulation module configured to convert base distance metrics from a plurality of sources into neighborhoods for comparison, wherein each base distance metric represents an expert and each neighborhood represents an individual similarity measure of the expert; and a neighborhood combination module configured to combine the neighborhoods to leverage the local discriminalities of all base distance metrics using a processor by applying at least one iterative process to output a composite distance metric; and a feedback element for providing the composite distance metric back to each expert to compare to the individual similarity measure. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18, 19)
-
-
20. A non-transitory computer readable storage medium comprising a computer readable program, wherein the computer readable program when executed on a computer causes the computer to perform the steps of:
-
converting base distance metrics from a plurality of sources into neighborhoods for comparison, wherein each base distance metric represents an expert and each neighborhood represents an individual similarity measure of the expert; and combining the neighborhoods to leverage the local discriminalities of all base distance metrics by applying at least one iterative process to output a composite distance metric; and providing the composite distance metric back to each expert to compare to the individual similarity measure.
-
Specification