Consistency Analysis for Data Fusion: Determining When the Unknown Correlation Can Be Ignored
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Amirsadri, Ashkan; Bishop, Adrian; Kim, Jonghyuk; Trumpf, Jochen; Petersson, Lars
Description
In this paper we examine the conditions in which data fusion can be performed by neglecting the unmodeled correlation between two information sources without compromising the consistency of the system. More specifically, we explore those situations in whi
Collections | ANU Research Publications |
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Date published: | 2013 |
Type: | Conference paper |
URI: | http://hdl.handle.net/1885/81246 |
Source: | 2013 International Conference on Control, Automation and Information Sciences, ICCAIS 2013 |
DOI: | 10.1109/ICCAIS.2013.6720537 |
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01_Amirsadri_Consistency_Analysis_for_Data_2013.pdf | 629.6 kB | Adobe PDF | Request a copy |
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