Analysis of perturbed subjects using semantic embeddings
US10769501B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 17, 2018 |
| Grant date | Sep 8, 2020 |
| Priority date | — |
| Expiry date | Sep 17, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/10
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
The present disclosure relates to analysis of perturbed subjects using semantic embeddings. One example embodiment includes a method. The method includes applying a respective perturbation to each of a plurality of subjects in a controlled environment. The method also includes producing a respective visual representation for each of the perturbed subjects using at least one imaging modality. Further, the method includes obtaining, by a computing device for each of the respective visual representations, a corresponding semantic embedding associated with the respective visual representation. The semantic embedding associated with the respective visual representation is generated using a machine-learned, deep metric network model. In addition, the method includes classifying, by the computing device based on the corresponding semantic embedding, each of the visual representations into one or more groups.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.