Usage of hierarchical neural networks for multiple vision scenes recognition


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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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E Engel

Email: angel@khsu.ru

O Zav'yalova

参考

  1. 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.
  2. 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).
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  4. 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).
  5. 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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版权所有 © Engel E.A., Zav'yalova O.I., 2009

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此作品已接受知识共享署名 4.0国际许可协议的许可
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