Feature conjunctions in visual search

被引：0
|
作者：
Rodriguez-Sanchez, Antonio J. [1 ]
Simine, Evgueni
Tsotsos, John K.
机构：
[1] York Univ, Dept Comp Sci & Engn, Toronto, ON M3J 2R7, Canada
[2] York Univ, Ctr Vis Res, Toronto, ON M3J 2R7, Canada
来源：
ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 2 | 2006年 / 4132卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Selective Tuning (ST) [1] presents a framework for modeling attention and in this paper we show how it performs in visual search tasks. Two types of tasks are presented, a motion search task and an object search task. Both tasks are successfully tested with different feature and conjunction visual searches.
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页码：498 / 507
页数：10
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