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US 2020/0027442 A1Published application
Processing sensor data
AssigneeNokia Technologies Oy
InventorsAkhil MATHUR, Anton ISOPOUSSU, Nicholas LANE, Fahim KAWSAR
Life of this patent
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Abstract
An apparatus comprising means for: using a generative neural network, trained to translate first sensor data to simulated second sensor data, to translate input first sensor data from a first sensor to simulated second sensor data; and providing the simulated second sensor data to a different, specific-task, machine-learning model for processing at least second sensor data.
Claims20
An apparatus comprising:
- at least one processor;
- and
- at least one memory including computer program code,
- the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to perform:
- use a generative neural network trained to translate first sensor data to simulated second sensor data, to translate input first sensor data from a first sensor to simulated second sensor data;
- and
- provide the simulated second sensor data to a different, specific-task, machine-learning model for processing at least second sensor data.
4 more elements
A method comprising:
- using a generative neural network trained to translate first sensor data to simulated second sensor data, to translate input first sensor data from a first sensor to simulated second sensor data;
- providing the simulated second sensor data to a different, specific-task, machine-learning model for processing at least second sensor data.
A non-transitory computer readable medium comprising computer program instructions for causing an apparatus to perform at least the following:
- using a generative neural network trained to translate first sensor data to simulated second sensor data, to translate input first sensor data from a first sensor to simulated second sensor data;
- and
- providing the simulated second sensor data to a different, specific-task, machine-learning model for processing at least second sensor data.
Dependencies are inferred from the claim text.