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US 7,889,914 B2Granted
Automated learning of model classifications
AssigneeDrexel University
InventorsWilliam C. Regli, Cheuk Yiu Ip, Leonard Sieger
Life of this patent
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Abstract
A method of providing an automated classifier for 3D CAD models wherein the method provides an algorithm for learning new classifications. The method enables existing model comparison algorithms to adapt to different classifications that are relevant in many engineering applications. This ability to adapt to different classifications allows greater flexibility in data searching and data mining of engineering data.
Claims20
A method of classifying models comprising the steps of:
- providing a processor, wherein the processor performs the steps of;
- determining a first set of values based on predetermined properties of training models;
- defining classifications based upon said first set of values;
- determining a second set of values based on predetermined properties of a query model;
- comparing said second set of values to said classifications;
- and
- determining a classification of said query model based on said comparing step.
4 more elements
A method of searching for a model comprising the steps of:
- using a processor, wherein the processor performs the steps of;
- determining a first set of values based on predetermined properties of a query model;
- comparing said first set of values to definitions for classification, wherein said definitions for said classification are based on a second set of values that is determined by predetermined properties for a group of training models;
- and
- determining a classification of said query model based on said comparing step.
2 more elements
A system for classifying models comprising:
- a database for storing a plurality of training models and classification definitions, wherein said classification definitions are based upon a first set of values determined by predetermined properties of said training models;
- and
- a host unit connected to said database for receiving a query model, and determining a second set of values based on said predetermined properties of said query model, said host determining a classification of said query model by comparing said second set of values to said classification definitions.
Dependencies are inferred from the claim text.