Edge-based adaptive machine learning for object recognition
US11017271B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 2, 2017 |
| Grant date | May 25, 2021 |
| Priority date | — |
| Expiry date | Nov 2, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Examples of techniques for interactive generation of labeled data and training instances are provided. According to one or more embodiments of the present invention, a computer-implemented method for interactive generation of labeled data and training instances includes presenting, by the processing device, control labeling options to a user. The method further includes selecting, by a user, one or more of the presented control labeling options. The method further includes selecting, by a processing device, a representative set of unlabeled data samples based at least in part on the control labeling options selected by the user. The method further includes generating, by a processing device, a set of suggested labels for each of the unlabeled data samples.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.