Unsupervised learning method for general inverse problem and apparatus therefor
US12223433B2 · kind B2 · utility
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Key dates
| Filing date | May 27, 2021 |
| Grant date | Feb 11, 2025 |
| Priority date | — |
| Expiry date | Aug 27, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/774
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are an unsupervised learning method and an apparatus therefor applicable to general inverse problems. An unsupervised learning method applicable to inverse problems includes receiving a training data set and training an unsupervised learning-based neural network generated based on an optimal transport theory and a penalized least square (PLS) approach using the training data set, wherein the receiving of the training data set includes receiving the training data set including unmatched data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.