AUTOMATED SIMILARITY MEASUREMENT AND PROPERTY ESTIMATION
A method includes receiving an input dataset representing one or more physical characteristics of a volume, generating an embedding by reducing a dimensionality associated with the input dataset using a trained machine learning model, comparing the embedding with a plurality of other embeddings gene...
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Main Authors | , , , |
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Format | Patent |
Language | English French German |
Published |
29.05.2024
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Subjects | |
Online Access | Get full text |
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Summary: | A method includes receiving an input dataset representing one or more physical characteristics of a volume, generating an embedding by reducing a dimensionality associated with the input dataset using a trained machine learning model, comparing the embedding with a plurality of other embeddings generated by reducing a dimensionality of other datasets representing one or more physical characteristics of other volumes, selecting one or more of the other embeddings of the one or more other datasets based at least in part on comparing, and estimating one or more attributes of the volume based at least in part on the one or more other datasets corresponding to the selected one or more of the other embeddings. |
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Bibliography: | Application Number: EP20210808975 |