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Introducing rotation invariance into the Neocognitron model for target recognition |
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| Authors: | Chihwen Li and Chwan-Hwa Wu |
| Affiliation: | Department of Electrical Engineering, 200 Broun Hall, Auburn University, Auburn, AL 36849-5201, USA |
| Abstract: | This model introduces rotation invariance into the Neocognitron model by way of rotation layers. The most likely orientation of the target is detected and used for further pattern classification using an algorithm similar to that for the Neocognitron model. The visual target recognition capability of this model is demonstrated. |
| Keywords: | Rotation invariance neural network target recognition supervised learning |
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