Accelerating machine optimisation processes
US10516890B2 · kind B2 · utility
2Cited by
22References
20Claims
0Family size
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Key dates
| Filing date | Aug 18, 2017 |
| Grant date | Dec 24, 2019 |
| Priority date | — |
| Expiry date | Aug 18, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/87
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A method for training learned hierarchical algorithms, the method comprising the steps of receiving input data and generating metrics from the input data. At least one hierarchical algorithm is then selected from a plurality of predetermined hierarchical algorithms based on comparing the generated metrics from the input data and like metrics for each of the plurality of predetermined hierarchical algorithms. The selected hierarchical algorithm is developed based on the input data and the developed hierarchical algorithm is outputted.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.