Training an auto-encoder on a single class
US10607135B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 27, 2017 |
| Grant date | Mar 31, 2020 |
| Priority date | — |
| Expiry date | Sep 14, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and techniques for training an auto-encoder on a single class are presented. In one example, a system trains an auto-encoder based on first data associated with a first class to generate a trained auto-encoder. The system also applies, using a multiplier, gain data indicative of a gain value to second data associated with the first class and third data associated with a second class to generate enhanced input data that represents a differentiation between the second data associated with the first class and the third data associated with the second class. An input enhancer comprises the trained auto-encoder and the multiplier. Furthermore, the system trains a convolutional neural network based on the enhanced input data to generate a trained convolutional neural network. The system also classifies the first class and the second class based on the input enhancer and the trained convolutional neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.