Learning high-level visual concepts using attributed primitives and genetic programming

被引：0
|
作者：
Krawiec, Krzysztof [1 ]
机构：
[1] Poznan Univ Tech, Inst Comp Sci, PL-60965 Poznan, Poland
来源：
APPLICATIONS OF EVOLUTIONARY COMPUTING, PROCEEDINGS | 2006年 / 3907卷
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we present a novel approach to genetic learning of high-level visual concepts that works with sets of attributed visual primitives rather than with raster images. The paper presents the approach in detail and
引用
收藏
页码：515 / 519
页数：5
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