Novelty detection using deep learning neural network
US11301756B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 5, 2020 |
| Grant date | Apr 12, 2022 |
| Priority date | — |
| Expiry date | Oct 15, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/094
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for detecting novelty using an encoder and a decoder comprises: feeding a first input into the encoder and processing the first input through a plurality of encoder layers to generate a first encoded input, wherein processing the first input comprises generating a first intermediate encoded input prior to generating the first encoded input, feeding the first encoded input from the encoder into the decoder and processing the first encoded input through a plurality of decoder layers to generate a first reconstructed output, feeding the first reconstructed output from the decoder as a second or subsequent input into the encoder and processing the first reconstructed output through the plurality of encoder layers, wherein processing the first reconstructed output comprises generating a second intermediate encoded input from the one of the encoder layers, and detecting a novelty based on the first intermediate encoded input and the second intermediate encoded input.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.