Architecture research and hardware implementation on simplified neural computing system for face identification
| Data(s) |
2003
|
|---|---|
| Resumo |
This paper describes a special-purpose neural computing system for face identification. The system architecture and hardware implementation are introduced in detail. An algorithm based on biomimetic pattern recognition has been embedded. For the total 1200 tests for face identification, the false rejection rate is 3.7% and the false acceptance rate is 0.7%. This paper describes a special-purpose neural computing system for face identification. The system architecture and hardware implementation are introduced in detail. An algorithm based on biomimetic pattern recognition has been embedded. For the total 1200 tests for face identification, the false rejection rate is 3.7% and the false acceptance rate is 0.7%. 于2010-10-29批量导入 Made available in DSpace on 2010-10-29T06:36:28Z (GMT). No. of bitstreams: 1 2803.pdf: 221470 bytes, checksum: 8684f5b7f3fc5651fbb14562919bc736 (MD5) Previous issue date: 2003 Int Neural Network Soc.; IEEE Neural Networks Soc. Chinese Acad Sci, Inst Semicond, Artificial Neural Networks Lab, Beijing 100083, Peoples R China Int Neural Network Soc.; IEEE Neural Networks Soc. |
| Identificador | |
| Idioma(s) |
英语 |
| Publicador |
IEEE 345 E 47TH ST, NEW YORK, NY 10017 USA |
| Fonte |
Xu J; Li WJ; Qu YF; Qin H; Wang SJ .Architecture research and hardware implementation on simplified neural computing system for face identification .见：IEEE .PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4,345 E 47TH ST, NEW YORK, NY 10017 USA ,2003,948-952 |
| Palavras-Chave | #人工智能 |
| Tipo |
会议论文 |
