Method and computer program product for generating training data for a new class in a pattern recognition classifier
US7113636B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 30, 2002 |
| Grant date | Sep 26, 2006 |
| Priority date | — |
| Expiry date | Aug 6, 2024 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/214
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and computer program product are disclosed for generating training data over a plurality of feature variables for a new output class in a pattern recognition classifier representing a plurality of existing classes with previously calculated statistical parameters. Deviation measures are generated for each feature variable for each of the plurality of existing classes from the calculated statistical parameters. The deviation measures for each feature variable are averaged across the plurality of existing classes. Feature data is extracted from an ideal pattern, representing the new class, for each of the feature variables. Statistical parameters are approximated for each feature variable for the new class from the extracted feature data and the averaged deviation measures.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.