| 书目名称 | Human Face Recognition Using Third-Order Synthetic Neural Networks |
| 编辑 | Okechukwu A. Uwechue,Abhijit S. Pandya |
| 视频video | |
| 丛书名称 | The Springer International Series in Engineering and Computer Science |
| 图书封面 |  |
| 描述 | .Human Face Recognition Using Third-Order Synthetic NeuralNetworks. explores the viability of the application of.High-order. synthetic neural network technology totransformation-invariant recognition of complex visual patterns.High-order networks require little training data (hence, shorttraining times) and have been used to perform transformation-invariantrecognition of relatively simple visual patterns, achieving very highrecognition rates. The successful results of these methods providedinspiration to address more practical problems which have.grayscale. as opposed to .binary. patterns (e.g.,alphanumeric characters, aircraft silhouettes) and are also morecomplex in nature as opposed to purely edge-extracted images -human face recognition .is. such a problem. ..Human Face Recognition Using Third-Order Synthetic NeuralNetworks. serves as an excellent reference for researchers andprofessionals working on applying neural network technology to therecognition of complex visual patterns. |
| 出版日期 | Book 1997 |
| 关键词 | neural networks; pattern recognition; training |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4615-4092-2 |
| isbn_softcover | 978-1-4613-6832-8 |
| isbn_ebook | 978-1-4615-4092-2Series ISSN 0893-3405 |
| issn_series | 0893-3405 |
| copyright | Springer Science+Business Media New York 1997 |
发表于 2025-3-21 19:39:50
