Novelty detection using deep learning neural network
US11816578B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 3, 2022 |
| Grant date | Nov 14, 2023 |
| Priority date | — |
| Expiry date | Mar 3, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/094
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosed technology generally relates to novelty detection and more particularly to novelty detection methods using a deep learning neural network and apparatuses and non-transitory computer-readable media configured for performing the methods. In one aspect, a method for detecting novelty using a deep learning neural network model comprises providing a deep learning neural network model. The deep learning neural network model comprises an encoder comprising a plurality of encoder layers and a decoder comprising a plurality of decoder layers. The method additionally comprises feeding a first input into the encoder and successively processing the first input through the plurality of encoder layers to generate a first encoded input, wherein successively processing the first input comprises generating a first intermediate encoded input from one of the encoder layers prior to generating the first encoded input. The method additionally comprises feeding the first encoded input from the encoder into the decoder and successively processing the first encoded input through the plurality of decoder layers to generate a first reconstructed output. The method additionally comprises feedin…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.