Email this article Usage of hierarchical neural networks for multiple vision scenes recognition
- Authors: Engel EA1, Zav'yalova OI1
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- Issue: Vol 10, No 3 (2009)
- Pages: 39-43
- Section: Articles
- URL: https://journals.eco-vector.com/2712-8970/article/view/508286
- ID: 508286
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Abstract
The hierarchical neural networks for solving problems of pattern recognition, grouped in an arbitrary scene are considered. The mathematical model of recognition system fulfilled on the interaction basis between subsystems of attention and recognition.
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References
- Learning Invariant Features through Topographic Filter Maps / K. Kavukcuoglu, M. A. Ranzato, R. Fergus, Y . LeCun // Proc. Intern. Conf. on Computer Vision and Pattern Recognition (CVPR-09). Miami, Fla, USA, 2009.
- Serre , T . A f eedforw ard ar c hitectur e ac counts f or r apid categorization / T. Serre, A. Oliva, T. Poggio // Proc. of the N ational A cade my of Sc ienc e. 2007. Apr . V o l. 104 (15).
- A quantitativ e the ory of immediate visual r e co gnition / T. Serre, G. Kreiman, M. Kouh, et al. // Progress in Brain Research, Computational Neuroscience: Theoretical Insights into Brain Function. 2007. V o l. 165.
- Object recognition with cortex-like mechanisms / T. Serre, L. W olf, S. Bileschi, et al. // IEEE Transactions on P atte rn Analy sis and M ac hine Intelligence . 2007. V o l. 29 (3).
- A theory of object recognition: computations and circuits in the feedforward path of the ventral stream in primate visual cortex / T. Serre, M. Kouh, C. Cadieu, et al. ; Massachusetts Ins titute o f Technology . C ambridge , M A, 2005.
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