Patent №
US 7,849,038
Granted
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Owner
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Lab
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AI components
6
ml · nlp · vision · kr · planning · hardware
Assignment
None on record
Dataset
AIPD
2023_r1 edition
Application
11941524
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.