Systems for modeling uncertainty in multi-modal retrieval and methods thereof
US10943154B2 · kind B2 · utility
2Cited by
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Key dates
| Filing date | Jan 22, 2019 |
| Grant date | Mar 9, 2021 |
| Priority date | — |
| Expiry date | May 2, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/047
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Multi-modal data representing driving events and corresponding actions related to the driving events can be obtained and used to train a neural network at least in part by using a triplet loss computed for the driving events as a regression loss to determine an embedding of driving event data. In some cases, using the trained neural network, a retrieval request for an input driving event and corresponding action can be processed by determining, from the neural network, one or more similar driving events or corresponding actions in the multi-modal data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.