Hypothesis management for information fusion

被引：13

作者：

Jones, EK ^{[1
]}

Denis, N ^{[1
]}

Hunter, D ^{[1
]}

机构：

[1] Alphatech Inc, Burlington, MA 01803 USA

来源：

IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE | 2003年 / 18卷 / 06期

关键词：

D O I：

10.1109/MAES.2003.1209583

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

The efficient management of large collections of fusion hypotheses presents a critical challenge for scaling high-level information fusion systems to solve large problems. We motivate this challenge in the context of two Alphatech research projects, and discuss several partial solutions. A recurring theme is the exploitation of space-efficient, factored representations of multiple hypotheses to enable an efficient search for good hypotheses.

引用

页码：3 / 8

页数：6