Feed forward feed back multiple neural network with context driven recognition
US6560360B1 · kind B1 · utility
Assignees
Inventors
Key dates
| Filing date | Jan 27, 2000 |
| Grant date | May 6, 2003 |
| Priority date | — |
| Expiry date | Jan 27, 2020 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/2272
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A recognition system is disclosed, including a representation of an object in terms of its constituent parts that is translationally invariant, and which provides scale invariant recognition. The system further provides effective recognition of patterns that are partially present in the input signal, or that are partially occluded, and also provides an effective representation for sequences within the input signal. The system utilizes dynamically determined, context based expectations, for identifying individual features/parts of an object to be recognized. The system is computationally efficient, and capable of highly parallel implementation, and further includes a mechanism for improving the preprocessing of individual sections of an input pattern, either by applying one or more preprocessors selected from a set of several preprocessors, or by changing the parameters within a single preprocessor.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.