信息融合的假设管理

Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) Pub Date : 2002-07-08 DOI:10.1109/ICIF.2002.1020904

E. Jones, N. Denis, D. Hunter

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引用次数: 5

摘要

大规模融合假设集合的有效管理是扩展高级信息融合系统以解决大型问题的关键挑战。我们在两个alphaech研究项目的背景下激发了这一挑战，并讨论了几个部分解决方案。一个反复出现的主题是利用空间效率，多个假设的因子表示，以便有效地搜索好的假设。

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Hypothesis management for information fusion

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 efficient search for good hypotheses.

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Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)

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