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

页码：515 / 519

页数：5

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