Deep receptive field networks
US10607117B2 · kind B2 · utility
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5Claims
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Key dates
| Filing date | Jun 3, 2016 |
| Grant date | Mar 31, 2020 |
| Priority date | — |
| Expiry date | Jun 3, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/764
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The invention provides a method for recognition of information in digital image data, said method comprising a learning phase on a data set of example digital images having known information, and characteristics of categories are computed automatically from each example digital image and compared to its known category, said method comprises training a convolutional neural network comprising network parameters using said data set, in which via deep learning each layer of said convolutional neural network is represented by a linear decomposition of all filters as learned in each layer into basis functions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.