Lipreading with spiking neurons one pass learning
| dc.contributor.author | Séguier, R. | |
| dc.contributor.author | Cladel, N. | |
| dc.contributor.author | Foucher, C. | |
| dc.contributor.author | Mercier, D. | |
| dc.contributor.editor | Skala, Václav | |
| dc.date.accessioned | 2013-07-18T12:11:38Z | |
| dc.date.available | 2013-07-18T12:11:38Z | |
| dc.date.issued | 2002 | |
| dc.description.abstract | the system is then able to recognize these words throughout different sessions during which the position and the chrominance of the images of the speaker's mouth strongly change. | en |
| dc.description.abstract-translated | We present in this article a lipreading system implementing spiking neurons (STANs). A new preprocessing is proposed in order to reduce as much as possible the learning phase of the system. This training is done in one pass: the user pronounces once all of the words of the dictionary | en |
| dc.format | 8 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Journal of WSCG. 2002, vol. 10, no. 1-2, p. 397-404. | en |
| dc.identifier.issn | 1213-6972 (print) | |
| dc.identifier.issn | 1213-6980 (CD-ROM) | |
| dc.identifier.issn | 1213-6964 (online) | |
| dc.identifier.uri | http://wscg.zcu.cz/wscg2002/Papers_2002/C23.zip | |
| dc.identifier.uri | http://hdl.handle.net/11025/6005 | |
| dc.language.iso | en | sk |
| dc.publisher | UNION Agency | cs |
| dc.relation.ispartofseries | Journal of WSCG | en |
| dc.rights | © UNION Agency | cs |
| dc.rights.access | openAccess | en |
| dc.subject | odezírání ze rtů | cs |
| dc.subject | neurony | cs |
| dc.subject | rozpoznávání obrazů | cs |
| dc.subject.translated | lipreading | en |
| dc.subject.translated | neurons | en |
| dc.subject.translated | image recognition | en |
| dc.title | Lipreading with spiking neurons one pass learning | fr |
| dc.type | článek | cs |
| dc.type | article | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
Files
License bundle
1 - 1 out of 1 results
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: