Convolutional-neural-network-based classifier and classifying method and training methods for the same
US9697444B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 31, 2014 |
| Grant date | Jul 4, 2017 |
| Priority date | — |
| Expiry date | Jun 7, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/454
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention relates to a convolutional-neural-network-based classifier, a classifying method by using a convolutional-neural-network-based classifier and a method for training the convolutional-neural-network-based classifier. The convolutional-neural-network-based classifier comprises: a plurality of feature map layers, at least one feature map in at least one of the plurality of feature map layers being divided into a plurality of regions; and a plurality of convolutional templates corresponding to the plurality of regions respectively, each of the convolutional templates being used for obtaining a response value of a neuron in the corresponding region.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.