Human Face Recognition Using Third-Order Synthetic Neural Networks:
Human Face Recognition Using Third-Order Synthetic Neural Networks explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns. High-order networks require little training data (hence, short training t...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1997
|
| Schriftenreihe: | The Springer International Series in Engineering and Computer Science, Multimedia Systems and Applications
410 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | Human Face Recognition Using Third-Order Synthetic Neural Networks explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns. High-order networks require little training data (hence, short training times) and have been used to perform transformation-invariant recognition of relatively simple visual patterns, achieving very high recognition rates. The successful results of these methods provided inspiration to address more practical problems which have grayscale as opposed to binary patterns (e.g., alphanumeric characters, aircraft silhouettes) and are also more complex in nature as opposed to purely edge-extracted images - human face recognition is such a problem. Human Face Recognition Using Third-Order Synthetic Neural Networks serves as an excellent reference for researchers and professionals working on applying neural network technology to the recognition of complex visual patterns |
| Beschreibung: | 1 Online-Ressource (XV, 123 p) |
| ISBN: | 9781461540922 |
| DOI: | 10.1007/978-1-4615-4092-2 |
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| discipline | Informatik |
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| id | DE-604.BV045186471 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:57Z |
| institution | BVB |
| isbn | 9781461540922 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030575648 |
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| physical | 1 Online-Ressource (XV, 123 p) |
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| publishDate | 1997 |
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| publisher | Springer US |
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| series2 | The Springer International Series in Engineering and Computer Science, Multimedia Systems and Applications |
| spelling | Uwechue, Okechukwu A. Verfasser aut Human Face Recognition Using Third-Order Synthetic Neural Networks by Okechukwu A. Uwechue, Abhijit S. Pandya Boston, MA Springer US 1997 1 Online-Ressource (XV, 123 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science, Multimedia Systems and Applications 410 Human Face Recognition Using Third-Order Synthetic Neural Networks explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns. High-order networks require little training data (hence, short training times) and have been used to perform transformation-invariant recognition of relatively simple visual patterns, achieving very high recognition rates. The successful results of these methods provided inspiration to address more practical problems which have grayscale as opposed to binary patterns (e.g., alphanumeric characters, aircraft silhouettes) and are also more complex in nature as opposed to purely edge-extracted images - human face recognition is such a problem. Human Face Recognition Using Third-Order Synthetic Neural Networks serves as an excellent reference for researchers and professionals working on applying neural network technology to the recognition of complex visual patterns Computer Science Multimedia Information Systems Statistical Physics, Dynamical Systems and Complexity Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Computer science Multimedia information systems Computer graphics Image processing Statistical physics Dynamical systems Pandya, Abhijit S. aut Erscheint auch als Druck-Ausgabe 9781461368328 https://doi.org/10.1007/978-1-4615-4092-2 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Uwechue, Okechukwu A. Pandya, Abhijit S. Human Face Recognition Using Third-Order Synthetic Neural Networks Computer Science Multimedia Information Systems Statistical Physics, Dynamical Systems and Complexity Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Computer science Multimedia information systems Computer graphics Image processing Statistical physics Dynamical systems |
| title | Human Face Recognition Using Third-Order Synthetic Neural Networks |
| title_auth | Human Face Recognition Using Third-Order Synthetic Neural Networks |
| title_exact_search | Human Face Recognition Using Third-Order Synthetic Neural Networks |
| title_full | Human Face Recognition Using Third-Order Synthetic Neural Networks by Okechukwu A. Uwechue, Abhijit S. Pandya |
| title_fullStr | Human Face Recognition Using Third-Order Synthetic Neural Networks by Okechukwu A. Uwechue, Abhijit S. Pandya |
| title_full_unstemmed | Human Face Recognition Using Third-Order Synthetic Neural Networks by Okechukwu A. Uwechue, Abhijit S. Pandya |
| title_short | Human Face Recognition Using Third-Order Synthetic Neural Networks |
| title_sort | human face recognition using third order synthetic neural networks |
| topic | Computer Science Multimedia Information Systems Statistical Physics, Dynamical Systems and Complexity Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Computer science Multimedia information systems Computer graphics Image processing Statistical physics Dynamical systems |
| topic_facet | Computer Science Multimedia Information Systems Statistical Physics, Dynamical Systems and Complexity Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Computer science Multimedia information systems Computer graphics Image processing Statistical physics Dynamical systems |
| url | https://doi.org/10.1007/978-1-4615-4092-2 |
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