Methods and systems for reducing dimensionality in a reduction and prediction framework
US12079976B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Feb 5, 2021 |
| Grant date | Sep 3, 2024 |
| Priority date | — |
| Expiry date | Jul 8, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30108
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Method and system that includes receiving an sensed data point from an industrial process; applying a mapping model to map the sensed data point to a respective embedding that has reduced dimensionality relative to the sensed data point; determining, based on a comparison of the respective embedding to prior embeddings, if the mapping model needs to be updated or not. When the mapping model needs to be updated, applying manifold learning to learn an updated set of model parameters for the mapping model. When the mapping model does not need to be updated, applying a classification model to the respective embedding to predict a classification for the sensed data point.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.