Lubars et al., 2018 - Google Patents
Correcting the output of approximate graph matching algorithmsLubars et al., 2018
- Document ID
- 10223335446868077615
- Author
- Lubars J
- Srikant R
- Publication year
- Publication venue
- IEEE INFOCOM 2018-IEEE Conference on Computer Communications
External Links
Snippet
Approximate graph matching refers to the problem of finding the best correspondence between the node labels of two correlated graphs. The problem has been applied to a number of domains, including social network de-anonymization. Recently, a number of …
- 230000002596 correlated 0 abstract description 6
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- G06K9/6267—Classification techniques
- G06K9/6279—Classification techniques relating to the number of classes
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6296—Graphical models, e.g. Bayesian networks
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- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
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- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
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- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
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