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