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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yudashkin, A. |
| Copyright Year | 1998 |
| Description | Author affiliation: Dept. of Autom. & Inf. Technol., Samara State Tech. Univ., Russia (Yudashkin, A.) |
| Abstract | A novel approach to the visual system pattern recognition synthesis is proposed. The nonlinear net with continuous activating parameters representing positions of the perceived set of dots in the Euclidean space is developed based on the principle of geometrical invariant pattern formation. This net memorizes patterns by their relative location towards the system centroid point, which allows the net to distinguish objects that may be naturally realized from those impossible states. As an effect of the net the properties of distinctly moving dots gathering and resulting structure recognition in the independent coordinate space appear. At the same time the proposed model does not recognize individually moving dots as the structure if the motion is an accelerated process. |
| Starting Page | 1392 |
| Ending Page | 1397 |
| File Size | 545642 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780348591 |
| ISSN | 10987576 |
| DOI | 10.1109/IJCNN.1998.685979 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-05-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pattern recognition Pattern formation Nonlinear dynamical systems Differential equations Retina Potential well Fluid dynamics Nonlinear systems Nonlinear equations Stability analysis |
| Content Type | Text |
| Resource Type | Article |
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