DocumentCode :
542526
Title :
Modelling visual attention using winner-take-all neural networks
Author :
Stepanyuk, Sergiy
Author_Institution :
Dept. of Appl. Math., Volyn Nat. Univ., Lutsk, Ukraine
fYear :
2011
fDate :
23-25 Feb. 2011
Firstpage :
327
Lastpage :
330
Abstract :
The goal of this paper is the consideration of the solving of visual attention on the based of winner-take-all neural networks. Selective tuning and Mozer model of visual attention are considered here. Also limitations, advances and open problems are shown.
Keywords :
biology computing; neural nets; visual perception; Mozer model; selective tuning; visual attention; winner-take-all neural networks; Biological system modeling; Brain modeling; Computational modeling; Integrated circuit modeling; Mathematical model; Tuning; Visualization; Selective tuning; Visual attention; computer vision; saliency map; winner-take-all neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
CAD Systems in Microelectronics (CADSM), 2011 11th International Conference The Experience of Designing and Application of
Conference_Location :
Polyana-Svalyava
Print_ISBN :
978-1-4577-0042-2
Electronic_ISBN :
978-966-2191-17-2
Type :
conf
Filename :
5744485
Link To Document :
بازگشت