Describing data fusion using category theory

被引：0

作者：

Thorsen, SN ^{[1
]}

Oxley, ME ^{[1
]}

机构：

[1] USAF, Inst Technol, Dept Math & Stat, Wright Patterson AFB, OH 45433 USA

来源：

FUSION 2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE OF INFORMATION FUSION, VOLS 1 AND 2 | 2003年

关键词：

category theory; sensor fusion; sensors; classifiers; data fusion; information fusion;

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：

The process of multi-sensor data fusion and its taxonomy is abstracted and described in the language of category theory Categories are developed for sensors, data sets, processors, feature sets, classifiers, and label sets. Fusion rules are defined and shown to hold a unique role within the various categories. Fusion processes can then be described as the optimization of fusion rules within the appropriate category.

引用

页码：1202 / +

页数：4