Face recognition based on PCA and multi-degree of freedom neurons
| Data(s) |
2005
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|---|---|
| Resumo |
An algorithm of PCA face recognition based on Multi-degree of Freedom Neurons theory is proposed, which based on the sample sets' topological character in the feature space which is different from "classification". Compare with the traditional PCA+NN algorithm, experiments prove its efficiency. An algorithm of PCA face recognition based on Multi-degree of Freedom Neurons theory is proposed, which based on the sample sets' topological character in the feature space which is different from "classification". Compare with the traditional PCA+NN algorithm, experiments prove its efficiency. zhangdi于2010-03-29批量导入 zhangdi于2010-03-29批量导入 China Neural Networks Council.; IEEE Computat Intelligence Soc, Beijing Chapter.; Chinese Inst Elect.; Chinese Assoc Artificial Intelligence. Chinese Acad Sci, Inst Semicond, Artificial Neural Networks Lab, Beijing 100083, Peoples R China China Neural Networks Council.; IEEE Computat Intelligence Soc, Beijing Chapter.; Chinese Inst Elect.; Chinese Assoc Artificial Intelligence. |
| Identificador | |
| Idioma(s) |
英语 |
| Publicador |
IEEE 345 E 47TH ST, NEW YORK, NY 10017 USA |
| Fonte |
Wang, SJ; Liu, XX; Cao, WM .Face recognition based on PCA and multi-degree of freedom neurons .见：IEEE .Proceedings of the 2005 International Conference on Neural Networks and Brain,345 E 47TH ST, NEW YORK, NY 10017 USA ,2005,Vols 1-3: 1494-1497 |
| Palavras-Chave | #人工智能 |
| Tipo |
会议论文 |
