Method and apparatus with neural network meta-training and class vector training
US12039449B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Dec 11, 2020 |
| Grant date | Jul 16, 2024 |
| Priority date | — |
| Expiry date | Mar 18, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A processor-implemented neural network method includes: extracting, by a feature extractor of a neural network, a plurality of training feature vectors corresponding to a plurality of training class data of each of a plurality of classes including a first class and a second class; determining, by a feature sample generator of the neural network, an additional feature vector of the second class based on a mean vector and a variation vector of the plurality of training feature vectors of each of the first class and the second class; and training a class vector of the second class included in a classifier of the neural network based on the additional feature vector and the plurality of training feature vectors of the second class.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.