Apparatus and system for unsupervised disentangled representation learning with a residual variational autoencoder
US11176422B2 · kind B2 · utility
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Key dates
| Filing date | Aug 8, 2019 |
| Grant date | Nov 16, 2021 |
| Priority date | — |
| Expiry date | Oct 18, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/178
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-program product storing instructions which, when executed by a computer, cause the computer to receive an input data, encode the input via an encoder, during a first sequence, obtain a first latent variable defining an attribute of the input data, generate a sequential reconstruction of the input data utilizing the decoder and at least the first latent variable, obtain a residual between the input data and the reconstruction utilizing a comparison of at least the first latent variable, and output a final reconstruction of the input data utilizing a plurality of residuals from a plurality of sequences.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.