Incremental learning in autonomous systems: evolving connectionist systems for on-line image and speech recognition
| dc.contributor.author | Kasabov, N | |
| dc.contributor.author | Zhang, D. | |
| dc.contributor.author | Pang, P. | |
| dc.date.accessioned | 2009-05-27T22:18:53Z | |
| dc.date.available | 2009-05-27T22:18:53Z | |
| dc.date.copyright | 2005 | |
| dc.date.created | 2005 | |
| dc.date.issued | 2005 | |
| dc.description.abstract | The paper presents an integrated approach to incremental learning in autonomous systems, that includes both pattern recognition and feature selection. The approach utilizes evolving connectionist systems (ECoS) and is applied on on-line image and speech pattern learning and recognition tasks. The experiments show that ECoS are a suitable paradigm for building autonomous systems for learning and navigation in a new environment using both image and speech modalities. © 2005 IEEE. | |
| dc.identifier.doi | 10.1109/ARSO.2005.1511636 | |
| dc.identifier.uri | https://hdl.handle.net/10292/606 | |
| dc.publisher | IEEE | |
| dc.rights | ©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | |
| dc.rights.accessrights | OpenAccess | |
| dc.source | 2005 IEEE Workshop on Advanced Robotics and its Social Impacts, 2005, 120-125 | |
| dc.title | Incremental learning in autonomous systems: evolving connectionist systems for on-line image and speech recognition | |
| dc.type | Conference Proceedings |