Method for using the second homotopy group in assessing the...

Data processing: artificial intelligence – Knowledge processing system

Reexamination Certificate

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Reexamination Certificate

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07849038

ABSTRACT:
A method for finding sets of two-dimensional data (S2DDs), which are similar to a target S2DD, is invented. The method leverages a new category of signatures, called equivalence signatures, to characterize the S2DDs. These signatures have the salient feature that, at worst, they change in a bounded manner when changes are made to the S2DD and when used to find S2DDs that are similar to a target S2DDs, they allow for a significant reduction in the number of SDDs to be compared with the target. This is an improvement over the state of the art wherein the computational expensive process of performing a complete search against the entire corpus must be applied.

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patent: 2008/0140741 (2008-06-01), Brooks
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patent: 2008/0215529 (2008-09-01), Brooks
patent: 2008/0215530 (2008-09-01), Brooks
patent: 2008/0215566 (2008-09-01), Brooks
patent: 2008/0215567 (2008-09-01), Brooks

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