System and method for cross domain learning for data augmentation
US8332334B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 24, 2009 |
| Grant date | Dec 11, 2012 |
| Priority date | — |
| Expiry date | Apr 22, 2031 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L51/212
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
According to an example embodiment, a method comprises executing instructions by a special purpose computing apparatus to, for labeled source domain data having a plurality of original labels, generate a plurality of first predicted labels for the labeled source domain data using a target function, the target function determined by using a plurality of labels from labeled target domain data. The method further comprises executing instructions by the special purpose computing apparatus to apply a label relation function to the first predicted labels for the source domain data and the original labels for the source domain data to determine a plurality of weighting factors for the labeled source domain data. The method further comprises executing instructions by the special purpose computing apparatus to generate a new target function using the labeled target domain data, the labeled source domain data, and the weighting factors for the labeled source domain data, and evaluate a performance of the new target function to determine if there is a convergence.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.